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YDLIDAR HP60C - RGB-D depth camera
YDLIDAR HP60C Description
YDLIDAR HP60C (hereinafter referred to as HP60C original depth camera uses structured light 3D imaging technology to obtain depth images, which meets different human computer interaction functions such as robot navigation, obstacle avoidance, depth information modeling, gesture control, human body scanning and motion capture. The built-in HD RGB camera meets the needs of texture mapping, object recognition, video surveillance and other applications.
HP60C original depth camera is compact, USB 2.0 standard output interface, easy to integrate, providing flexibility for system integrators, can be adapted to indoor complex environments such as strong light and weak light.
YDLIDAR HP60C Function and Features
The range measurement accuracy is high
Strong perception
Depth and RGB images merge seamlessly
Depth image level for a large FOV
Multiple cameras work simultaneously
High environmental adaptability
1) High ranging accuracy: 60cm wide baseline design, professional depth computing chip and algorithm, accuracy leading the industry level, improve the performance of robot small object detection, narrow channel obstacle avoidance and other performance.
2) Strong perception ability: the algorithm optimizes the perception performance of black objects, highly reflective objects and semi-transparent objects to lead the industry.
3) Seamless fusion of depth and RGB images: temporal and spatial alignment of depth map and RGB images to meet the intelligent detection requirements of multi-scene image fusion.
4) Multi-camera work at the same time: 640*480/160*120@5/8/10/15/20 fps depth image output, which occupies less bandwidth and makes multiple cameras work at the same time.
5) Depth image horizontal large FOV: depth image horizontal direction FOV 73.8°to meet the requirements of robot large FOV.
6) High environmental adaptability: -10~50℃ wide temperature working, 940nm wavelength, good resistance to environmental light and dust interference performance.
INTRODUCTION TO THE ORIGINAL DEPTH CAMERA TECHNOLOGY
Imaging Technique
The original depth camera mainly includes an infrared camera (IR camera), a dot-matrix projector (Dot projector), and a depth computing processor (depth processor). The dot matrix projector is used to project a structured light pattern (speckle pattern) to the target scene (Scene). The infrared camera collects the infrared structured light image of the target. The depth computing processor receives the infrared structured light image and performs the depth computing algorithm and outputs the depth image of the target scene.
Depth calculation processor in the depth calculation, the pre-calibration of infrared reference pattern and the current acquisition of infrared real-time pattern comparison calculation, according to the relative displacement between the two, can obtain the pixel deviation between the image (d), then based on the structure light triangulation principle, calculated by the deviation value d distance, namely "depth".
System Framework
STRUCTURAL DESCRIPTION
Structural Drawings
Installation Recommendations
The installation recommendations for the HP60C original depth camera are as follows:
1. The front and back of the original depth camera are pressed by foam, and the side is closely coordinated with the stuck position structure.
2. Reserve 2 M3 screw holes on the back side.
3. One M3 grounding treatment is reserved on the side.
Heat Dissipation Recommendations
Heat dissipation recommendations are as follows:
1. Connecting the bracket of the original depth camera with the metal part of the whole machine is conducive to reducing the ambient temperature of the hardware work.
2. Try to increase the space around the original depth camera, so that the original depth camera has more space for conventional heat dissipation.
SPECIFICATION AND PARAMETERS OF T DEP DEPTH CAMERA
Physical Product
Technical Specifications
Parameter
Model
YDLidar HP60C Depth Camera
Essential parameter
Product size
89.8×19.0×25.0 mm
Power dissipation
< 2 W
Joggle
Type C USB 2.0
Operating distance
0.2~4 m (within 2m best)
Working temperature
-10~50 °C
Storage temperature
-30~80 °C
Working humidity
0~90 %
Power supply mode
USB
Vbus
4.75~5.25 V
Depth precision
Plane accuracy
<2 mm @ 1m
Filling rate (middle 81% area)
> 99.5% @ 1m
Depth image
Resolution / Frame rate
640×480 @ 20fps (Max)
Depth FOV
73.8×58.8×86.4 (H×V×D)
Depth transfer image format
RAW16
RGB picture
Resolution / Frame rate
1920×1080 @ 20fps (Max), Recommended: 640×360 @ 20fps, 640×480 @ 20fps
FOV
80.9×51.7×88.9 (H×V×D)
Transfer image format
RGB888
After depth map and RGB map alignment, depth map FOV
RGB resolution at the 640×360 condition
73.8×51.7 (H×V)
RGB resolution at the 640×480 condition
64.4×51.7 (H×V)
Parameter
Item
Specification
Safety standard
ESD
±8kV (contact discharge)
±15kV
EMI/EMC
Meet the 3C certification performance standards
Laser Safety
Class 1
Development Platform
Windows
Support
Android
Support
Linux
Support
DOCUMENTS
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{"id":9919738904893,"title":"YDLIDAR HP60C - RGB-D depth camera","handle":"ydlidar-hp60c","description":"\u003ch2 style=\"text-align: center;\"\u003eYDLIDAR HP60C Description\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eYDLIDAR HP60C (hereinafter referred to as HP60C original depth camera uses structured light 3D imaging technology to obtain depth images, which meets different human computer interaction functions such as robot navigation, obstacle avoidance, depth information modeling, gesture control, human body scanning and motion capture. The built-in HD RGB camera meets the needs of texture mapping, object recognition, video surveillance and other applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHP60C original depth camera is compact, USB 2.0 standard output interface, easy to integrate, providing flexibility for system integrators, can be adapted to indoor complex environments such as strong light and weak light.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_29-4-2025_11316_www.ydlidar.com.jpg?v=1745906457\"\u003e\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eYDLIDAR HP60C Function and Features\u003c\/h3\u003e\n\u003ctable style=\"border: 2px solid black; width: 99.9582%; height: 117.5px;\"\u003e\n\u003cthead\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eThe range measurement accuracy is high\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eStrong perception\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eDepth and RGB images merge seamlessly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eDepth image level for a large FOV\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eMultiple cameras work simultaneously\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eHigh environmental adaptability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e 1) High ranging accuracy: 60cm wide baseline design, professional depth computing chip and algorithm, accuracy leading the industry level, improve the performance of robot small object detection, narrow channel obstacle avoidance and other performance.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2) Strong perception ability: the algorithm optimizes the perception performance of black objects, highly reflective objects and semi-transparent objects to lead the industry.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 3) Seamless fusion of depth and RGB images: temporal and spatial alignment of depth map and RGB images to meet the intelligent detection requirements of multi-scene image fusion.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 4) Multi-camera work at the same time: 640*480\/160*120@5\/8\/10\/15\/20 fps depth image output, which occupies less bandwidth and makes multiple cameras work at the same time.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 5) Depth image horizontal large FOV: depth image horizontal direction FOV 73.8°to meet the requirements of robot large FOV.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 6) High environmental adaptability: -10~50℃ wide temperature working, 940nm wavelength, good resistance to environmental light and dust interference performance.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eINTRODUCTION TO THE ORIGINAL DEPTH CAMERA TECHNOLOGY\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eImaging Technique\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e The original depth camera mainly includes an infrared camera (IR camera), a dot-matrix projector (Dot projector), and a depth computing processor (depth processor). The dot matrix projector is used to project a structured light pattern (speckle pattern) to the target scene (Scene). The infrared camera collects the infrared structured light image of the target. The depth computing processor receives the infrared structured light image and performs the depth computing algorithm and outputs the depth image of the target scene.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e Depth calculation processor in the depth calculation, the pre-calibration of infrared reference pattern and the current acquisition of infrared real-time pattern comparison calculation, according to the relative displacement between the two, can obtain the pixel deviation between the image (d), then based on the structure light triangulation principle, calculated by the deviation value d distance, namely \"depth\".\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161616.jpg?v=1745837172\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSystem Framework\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161710.jpg?v=1745837221\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSTRUCTURAL DESCRIPTION\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eStructural Drawings\u003c\/h3\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_144454.jpg?v=1745831686\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eInstallation Recommendations\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e The installation recommendations for the HP60C original depth camera are as follows:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 1. The front and back of the original depth camera are pressed by foam, and the side is closely coordinated with the stuck position structure.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2. Reserve 2 M3 screw holes on the back side.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 3. One M3 grounding treatment is reserved on the side.\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eHeat Dissipation Recommendations\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eHeat dissipation recommendations are as follows:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 1. Connecting the bracket of the original depth camera with the metal part of the whole machine is conducive to reducing the ambient temperature of the hardware work.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2. Try to increase the space around the original depth camera, so that the original depth camera has more space for conventional heat dissipation.\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSPECIFICATION AND PARAMETERS OF T DEP DEPTH CAMERA \u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePhysical Product\u003c\/h3\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161240.jpg?v=1745836952\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003cth style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003eParameter\u003c\/th\u003e\n\u003cth style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eModel\u003c\/th\u003e\n\u003cth style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eYDLidar HP60C Depth Camera\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1667px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eEssential parameter\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eProduct size\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e89.8×19.0×25.0 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003ePower dissipation\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e\u0026lt; 2 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eJoggle\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eType C USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eOperating distance\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e0.2~4 m (within 2m best)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eWorking temperature\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e-10~50 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eStorage temperature\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e-30~80 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eWorking humidity\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e0~90 %\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003ePower supply mode\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eUSB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eVbus\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e4.75~5.25 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eDepth precision \u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003ePlane accuracy\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e\u0026lt;2 mm @ 1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eFilling rate (middle 81% area)\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e\u0026gt; 99.5% @ 1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eDepth image \u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eResolution \/ Frame rate\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e640×480 @ 20fps (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eDepth FOV\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e73.8×58.8×86.4 (H×V×D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eDepth transfer image format\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003eRAW16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 117.5px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 117.5px; text-align: center;\"\u003eRGB picture\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 117.5px; text-align: center;\"\u003eResolution \/ Frame rate\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 117.5px; text-align: center;\"\u003e1920×1080 @ 20fps (Max), Recommended: 640×360 @ 20fps, 640×480 @ 20fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eFOV\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e80.9×51.7×88.9 (H×V×D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eTransfer image format\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003eRGB888\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003eAfter depth map and RGB map alignment, depth map FOV\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eRGB resolution at the 640×360 condition\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e73.8×51.7 (H×V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eRGB resolution at the 640×480 condition\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e64.4×51.7 (H×V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 100.025%; height: 384.462px; margin-left: auto; margin-right: auto;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003cth style=\"width: 26.8692%; height: 19.5833px; text-align: center;\"\u003eParameter\u003c\/th\u003e\n\u003cth style=\"width: 42.5338%; height: 19.5833px; text-align: center;\"\u003eItem\u003c\/th\u003e\n\u003cth style=\"width: 30.2271%; height: 19.5833px; text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 90.7292px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 90.7292px; text-align: center;\"\u003eSafety standard\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 90.7292px; text-align: center;\"\u003eESD\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 90.7292px;\"\u003e\n\u003cp style=\"text-align: center;\"\u003e±8kV (contact discharge)\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e±15kV\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.316px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 78.316px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 78.316px; text-align: center;\"\u003eEMI\/EMC\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 78.316px; text-align: center;\"\u003eMeet the 3C certification performance standards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 39.1667px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 39.1667px; text-align: center;\"\u003eLaser Safety\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 39.1667px; text-align: center;\"\u003eClass 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 58.75px; text-align: center;\"\u003eDevelopment Platform \u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 58.75px; text-align: center;\"\u003eWindows\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 58.75px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 58.75px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 58.75px; text-align: center;\"\u003eAndroid\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 58.75px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 39.1667px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 39.1667px; text-align: center;\"\u003eLinux\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 39.1667px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eDOCUMENTS\u003c\/h3\u003e\n\u003ctable style=\"width: 99.9582%; height: 24.0868px;\" width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 24.0868px;\"\u003e\n\u003ctd style=\"width: 66.0188%; height: 24.0868px; text-align: left;\"\u003e YDLIDAR HP60C Data Sheet \u003c\/td\u003e\n\u003ctd style=\"width: 33.653%; height: 24.0868px; text-align: right;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/YDLIDAR_HP60C_Data_Sheet_V1.5_240422.pdf?v=1745827999\"\u003eDownload \u0026gt;\u0026gt;\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e","published_at":"2025-07-02T10:37:49+05:30","created_at":"2025-04-28T13:15:33+05:30","vendor":"YD Lidar","type":"Depth Camera","tags":["3D Depth Mapping","3D Imaging","Depth Camera","Depth Sensing Camera","HD RGB Camera","High Accuracy Depth Camera","HP60C","Motion Capture","Structured Light Camera","USB 2.0 Camera","YDLDR","YDLIDAR","YDLIDAR HP60C","ZOHO UPDATED"],"price":1949999,"price_min":1949999,"price_max":1949999,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":50245756911933,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"ELC1220","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"YDLIDAR HP60C - RGB-D depth camera","public_title":null,"options":["Default Title"],"price":1949999,"weight":60,"compare_at_price":null,"inventory_management":"shopify","barcode":"ELC1220","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7ec04a1.png?v=1745826227","\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f89b21.png?v=1745826227","\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f534c0.png?v=1745826227","\/\/thinkrobotics.com\/cdn\/shop\/files\/6657f12f94067.png?v=1745826227"],"featured_image":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7ec04a1.png?v=1745826227","options":["Title"],"media":[{"alt":null,"id":44203004428605,"position":1,"preview_image":{"aspect_ratio":1.28,"height":500,"width":640,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7ec04a1.png?v=1745826227"},"aspect_ratio":1.28,"height":500,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7ec04a1.png?v=1745826227","width":640},{"alt":null,"id":44203004461373,"position":2,"preview_image":{"aspect_ratio":1.28,"height":500,"width":640,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f89b21.png?v=1745826227"},"aspect_ratio":1.28,"height":500,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f89b21.png?v=1745826227","width":640},{"alt":null,"id":44203004494141,"position":3,"preview_image":{"aspect_ratio":1.28,"height":500,"width":640,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f534c0.png?v=1745826227"},"aspect_ratio":1.28,"height":500,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657ef7f534c0.png?v=1745826227","width":640},{"alt":null,"id":44203004526909,"position":4,"preview_image":{"aspect_ratio":1.28,"height":500,"width":640,"src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657f12f94067.png?v=1745826227"},"aspect_ratio":1.28,"height":500,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/files\/6657f12f94067.png?v=1745826227","width":640}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch2 style=\"text-align: center;\"\u003eYDLIDAR HP60C Description\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eYDLIDAR HP60C (hereinafter referred to as HP60C original depth camera uses structured light 3D imaging technology to obtain depth images, which meets different human computer interaction functions such as robot navigation, obstacle avoidance, depth information modeling, gesture control, human body scanning and motion capture. The built-in HD RGB camera meets the needs of texture mapping, object recognition, video surveillance and other applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHP60C original depth camera is compact, USB 2.0 standard output interface, easy to integrate, providing flexibility for system integrators, can be adapted to indoor complex environments such as strong light and weak light.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_29-4-2025_11316_www.ydlidar.com.jpg?v=1745906457\"\u003e\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eYDLIDAR HP60C Function and Features\u003c\/h3\u003e\n\u003ctable style=\"border: 2px solid black; width: 99.9582%; height: 117.5px;\"\u003e\n\u003cthead\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eThe range measurement accuracy is high\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eStrong perception\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eDepth and RGB images merge seamlessly\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eDepth image level for a large FOV\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eMultiple cameras work simultaneously\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"border: 2px solid black; text-align: center; width: 98.4641%; height: 19.5833px;\"\u003eHigh environmental adaptability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e 1) High ranging accuracy: 60cm wide baseline design, professional depth computing chip and algorithm, accuracy leading the industry level, improve the performance of robot small object detection, narrow channel obstacle avoidance and other performance.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2) Strong perception ability: the algorithm optimizes the perception performance of black objects, highly reflective objects and semi-transparent objects to lead the industry.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 3) Seamless fusion of depth and RGB images: temporal and spatial alignment of depth map and RGB images to meet the intelligent detection requirements of multi-scene image fusion.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 4) Multi-camera work at the same time: 640*480\/160*120@5\/8\/10\/15\/20 fps depth image output, which occupies less bandwidth and makes multiple cameras work at the same time.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 5) Depth image horizontal large FOV: depth image horizontal direction FOV 73.8°to meet the requirements of robot large FOV.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 6) High environmental adaptability: -10~50℃ wide temperature working, 940nm wavelength, good resistance to environmental light and dust interference performance.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eINTRODUCTION TO THE ORIGINAL DEPTH CAMERA TECHNOLOGY\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eImaging Technique\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e The original depth camera mainly includes an infrared camera (IR camera), a dot-matrix projector (Dot projector), and a depth computing processor (depth processor). The dot matrix projector is used to project a structured light pattern (speckle pattern) to the target scene (Scene). The infrared camera collects the infrared structured light image of the target. The depth computing processor receives the infrared structured light image and performs the depth computing algorithm and outputs the depth image of the target scene.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e Depth calculation processor in the depth calculation, the pre-calibration of infrared reference pattern and the current acquisition of infrared real-time pattern comparison calculation, according to the relative displacement between the two, can obtain the pixel deviation between the image (d), then based on the structure light triangulation principle, calculated by the deviation value d distance, namely \"depth\".\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161616.jpg?v=1745837172\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSystem Framework\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161710.jpg?v=1745837221\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSTRUCTURAL DESCRIPTION\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eStructural Drawings\u003c\/h3\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_144454.jpg?v=1745831686\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eInstallation Recommendations\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e The installation recommendations for the HP60C original depth camera are as follows:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 1. The front and back of the original depth camera are pressed by foam, and the side is closely coordinated with the stuck position structure.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2. Reserve 2 M3 screw holes on the back side.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 3. One M3 grounding treatment is reserved on the side.\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eHeat Dissipation Recommendations\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eHeat dissipation recommendations are as follows:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 1. Connecting the bracket of the original depth camera with the metal part of the whole machine is conducive to reducing the ambient temperature of the hardware work.\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e 2. Try to increase the space around the original depth camera, so that the original depth camera has more space for conventional heat dissipation.\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eSPECIFICATION AND PARAMETERS OF T DEP DEPTH CAMERA \u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePhysical Product\u003c\/h3\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_28-4-2025_161240.jpg?v=1745836952\"\u003e\u003c\/p\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eTechnical Specifications\u003c\/h3\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003cth style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003eParameter\u003c\/th\u003e\n\u003cth style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eModel\u003c\/th\u003e\n\u003cth style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eYDLidar HP60C Depth Camera\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1667px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eEssential parameter\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eProduct size\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e89.8×19.0×25.0 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003ePower dissipation\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e\u0026lt; 2 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eJoggle\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eType C USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eOperating distance\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e0.2~4 m (within 2m best)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eWorking temperature\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e-10~50 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eStorage temperature\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e-30~80 °C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eWorking humidity\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e0~90 %\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003ePower supply mode\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003eUSB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 19.5833px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 19.5833px; text-align: center;\"\u003eVbus\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 19.5833px; text-align: center;\"\u003e4.75~5.25 V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eDepth precision \u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003ePlane accuracy\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e\u0026lt;2 mm @ 1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eFilling rate (middle 81% area)\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e\u0026gt; 99.5% @ 1m\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003eDepth image \u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eResolution \/ Frame rate\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e640×480 @ 20fps (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eDepth FOV\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e73.8×58.8×86.4 (H×V×D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eDepth transfer image format\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003eRAW16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 117.5px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 117.5px; text-align: center;\"\u003eRGB picture\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 117.5px; text-align: center;\"\u003eResolution \/ Frame rate\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 117.5px; text-align: center;\"\u003e1920×1080 @ 20fps (Max), Recommended: 640×360 @ 20fps, 640×480 @ 20fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eFOV\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003e80.9×51.7×88.9 (H×V×D)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 39.1667px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 39.1667px; text-align: center;\"\u003eTransfer image format\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 39.1667px; text-align: center;\"\u003eRGB888\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003eAfter depth map and RGB map alignment, depth map FOV\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eRGB resolution at the 640×360 condition\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e73.8×51.7 (H×V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 27.2116%; height: 58.75px; text-align: center;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.377%; height: 58.75px; text-align: center;\"\u003eRGB resolution at the 640×480 condition\u003c\/td\u003e\n\u003ctd style=\"width: 30.2971%; height: 58.75px; text-align: center;\"\u003e64.4×51.7 (H×V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 100.025%; height: 384.462px; margin-left: auto; margin-right: auto;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003cth style=\"width: 26.8692%; height: 19.5833px; text-align: center;\"\u003eParameter\u003c\/th\u003e\n\u003cth style=\"width: 42.5338%; height: 19.5833px; text-align: center;\"\u003eItem\u003c\/th\u003e\n\u003cth style=\"width: 30.2271%; height: 19.5833px; text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 90.7292px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 90.7292px; text-align: center;\"\u003eSafety standard\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 90.7292px; text-align: center;\"\u003eESD\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 90.7292px;\"\u003e\n\u003cp style=\"text-align: center;\"\u003e±8kV (contact discharge)\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e±15kV\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.316px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 78.316px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 78.316px; text-align: center;\"\u003eEMI\/EMC\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 78.316px; text-align: center;\"\u003eMeet the 3C certification performance standards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 39.1667px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 39.1667px; text-align: center;\"\u003eLaser Safety\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 39.1667px; text-align: center;\"\u003eClass 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 58.75px; text-align: center;\"\u003eDevelopment Platform \u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 58.75px; text-align: center;\"\u003eWindows\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 58.75px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px; text-align: center;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 58.75px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 58.75px; text-align: center;\"\u003eAndroid\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 58.75px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1667px;\"\u003e\n\u003ctd style=\"width: 26.8692%; height: 39.1667px;\"\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 42.5338%; height: 39.1667px; text-align: center;\"\u003eLinux\u003c\/td\u003e\n\u003ctd style=\"width: 30.2271%; height: 39.1667px; text-align: center;\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003ch3 style=\"text-align: center;\"\u003eDOCUMENTS\u003c\/h3\u003e\n\u003ctable style=\"width: 99.9582%; height: 24.0868px;\" width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 24.0868px;\"\u003e\n\u003ctd style=\"width: 66.0188%; height: 24.0868px; text-align: left;\"\u003e YDLIDAR HP60C Data Sheet \u003c\/td\u003e\n\u003ctd style=\"width: 33.653%; height: 24.0868px; text-align: right;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/YDLIDAR_HP60C_Data_Sheet_V1.5_240422.pdf?v=1745827999\"\u003eDownload \u0026gt;\u0026gt;\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e"}
{
"product_id": 9919738904893,
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"variant_available" : true,
"inventory_quantity" : 2,
"inventory_management" : "shopify",
"inventory_policy" : "deny",
"image": "//thinkrobotics.com/cdn/shop/files/6657ef7ec04a1.png?v=1745826227",
"price": "1949999",
"title": "Default Title",
"value": "Default Title"
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{
"product_id": "OTkxOTczODkwNDg5Mw==",
"variant_id" : "NTAyNDU3NTY5MTE5MzM=",
"variant_available" : "dHJ1ZQ==",
"inventory_quantity" : "Mg==",
"inventory_management" :"c2hvcGlmeQ==",
"inventory_policy" : "ZGVueQ==",
"image":"JTJGJTJGdGhpbmtyb2JvdGljcy5jb20lMkZjZG4lMkZzaG9wJTJGZmlsZXMlMkY2NjU3ZWY3ZWMwNGExLnBuZyUzRnYlM0QxNzQ1ODI2MjI3",
"price": "MTk0OTk5OQ==",
"title": "RGVmYXVsdCtUaXRsZQ==",
"value": "RGVmYXVsdCtUaXRsZQ==",
"variant_options": {"Title": "RGVmYXVsdCtUaXRsZQ=="
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}
India
---
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