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HiWonder

Autonomous AI Sorting Training Platform

SKU: HIWND-385

₹ 226,049.99

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Autonomous AI Sorting Training Platform₹ 226,049.99
Ask AI about this product

Autonomous AI SortingĀ Platform

Ā AI Vision | Image Recognition | Autonomous Transportation
Object Sorting | Multi Robot Cooperation | Scratch & Python - 2 in 1

AI transportation system is an educational demonstration robot kit integrating various AI elements. This system consists of multiple components, including an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map. Leveraging AI vision capabilities, robot car and robot arms can effectively recognize different waste categories. Once waste category is identified, they collaborate with sliding rail and conveyor belt to transport and deposit objects into corresponding trash bins.

AI transportation system offers a highly realistic simulation of real-world operational scenarios. This enables a vivid and direct demonstration of artificial intelligence, robot engineering, and multi-machine cooperation technologies. Therefore, it serves as a nice tool for teaching students how to incorporate AI technology into everyday applications.

Ā 

Fully Equipped, Rapid Setup

The robot kit comes with abundant components, including an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map. With these resources at your disposal, you can easily construct a miniature intelligent city transportation system.

Ā 

AiNova Smart Transport Robot Car

Loaded with a 4-ch line follower, AI vision module and gripper, AiNova is able to detect waste while navigating along a line, then transport the detected waste to specific position.

Ā 

Object Transportation

Waste Detection

Line Following

Ā 

Cooperative Intelligent Sorting

1. AiArm Vision Robot Arm 1

Utilizing its AI vision capabilities, robot arm 1 can identify waste blocks, pick them up, and carefully place them onto the electric conveyor belt.

2. AiArm Vision Robot Arm 2

Robot arm 2 is responsible for detecting waste blocks on the conveyor belt and determining waste category using AI vision module. It glides along the sliding rail and precisely drop down waste blocks to corresponding trash bins.

Ā 

Ā Scratch & Python 2-in-1

AI transportation system can be programmed using Scratch and Python, which caters to users with varying levels of proficiency.

Scratch 3.0 Visual Programming

Scratch is a user-friendly and visually intuitive programming language. With Scratch, you can effortlessly drag and drop code blocks to program the robot.

Python Programming

Visual programs can be seamlessly converted into Python code, providing an opportunity to learn advanced programming skills.

Ā Ā 

AI Intelligent Vision Module Swift Image Processing

AiNova is loaded with a WonderCam vision module that possesses powerful computing capabilities. This allows for one-click AI training, eliminating the need for complex training processes and intricate vision algorithms.

With Metal Protective Case

WonderCam is encased in a metal protective case, offering full protection against scratches and enhancing its overall appearance.

Built-in 2-inch IPS Color Screen

WonderCam features a built-in 2-inch IPS color screen with a 320 x 240 resolution, providing a clear and first-person view user interface.

One-click Training Learning

WonderCam is not only capable of recognizing pre-built materials, but it can also be used to train other models. In addition, you can control the entire model training process by configuring parameters and indicators.

Ā Ā 

AI Vision Recognition
Diverse Recognition ModesĀ 

WonderCam AI vision can perform various AI vision functions, such as facial
recognition, object tagging, color recognition, and road sign recognition.

Ā 

Facial Recognition

WonderCam can detect a specified human face, capturing its position and size for precise facial detection, recognition, and tracking purposes.

Tag Recognition

WonderCam is capable of recognizing AprilTag. Through I2C port, external device can retrieve the position and 3D conversion data of the recognized tag, allowing for spatial localization.

Color Recognition

WonderCam has the ability to recognize object colors and retrieve their size and position, enabling color recognition and tracking functionalities.

Road Sign Detection

WonderCam can implement intelligent transportation and autonomous driving functions by recognizing road sings.

Ā 

Product Parameters

Ā Ā 

Ā AiArm Vision Robot Arm ParametersĀ 

Ā 

Size: 285mm x 162mm x 440mm
Weight: 1.7 Kg
Material: Hard aluminium alloy + PC plastic
Camera: WonderCam vision module
Display: 2-inch IPS, 320 x 240 resolution, size: 41mm x 31mm
DOF: 5 + 1
Hardware: CoreX Controller
Software: PC software and WoderCode (Scratch and Python)
Servo Model: LX-15D, HTD-20L and HX-06L serial bus servo
Control Method: PC Software
Power supply of robot arm 1 7.5V 7A DC 5.5mm x 2.5mm and 7.5V 3A DC 3.5mm x 1.35mm power adaptor
Power supply of robot arm 2 7.5V 7A DC 5.5mm x 2.5mm power adaptor

Ā 

AiNova Robot Car Parameters

Ā 

Size: 240mm x 140mm x 190mm
Weight: 0.74 Kg
Material: Metal
Camera: WonderCam vision module
Display: 2-inch IPS, 320 x 240 resolution, size: 41mm x 31mm
Power Supply: 18650 Lipo battery (3.7V 1800mah) x 2
Battery Life: 45 Minutes
Hardware: CoreX controller
Software: PC software and WoderCode (Scratch and Python)
Servo Model: HX-08L serial bus servo
Control Method: PC Software

Ā 

Ā Packing List

Ā 

What components are included in the Autonomous AI Sorting Training Platform kit?
The kit includes an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map, enabling a miniature intelligent city transportation system.
What programming options are supported for this platform?
It supports Scratch 3.0 visual programming and Python programming. Scratch blocks can be used for simple control and can be converted to Python code for more advanced programming.
How does the autonomous sorting workflow operate?
The AI vision module identifies waste categories, Arm 1 picks blocks and places them on the conveyor belt, and Arm 2 detects items on the belt and sorts them to the correct bins via the sliding rail.
Is this kit suitable for classroom use and what learning does it promote?
Yes, it is designed as an educational demonstration robot kit for teaching AI, robotics, and multi machine cooperation. It provides a realistic simulation of AI integrated into everyday applications.
How long does the AiNova car battery last and what powers it?
It runs on two 18650 LiPo batteries (3.7V 1800mAh each) and typically lasts about 45 minutes per charge.
Welcome to the discussion thread for Autonomous AI Sorting Training Platform
Feel free to ask questions, share tips or report issues.
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Fill out the form below and our team will get back to you with bulk pricing.

Description
Ask AI about this product

Autonomous AI SortingĀ Platform

Ā AI Vision | Image Recognition | Autonomous Transportation
Object Sorting | Multi Robot Cooperation | Scratch & Python - 2 in 1

AI transportation system is an educational demonstration robot kit integrating various AI elements. This system consists of multiple components, including an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map. Leveraging AI vision capabilities, robot car and robot arms can effectively recognize different waste categories. Once waste category is identified, they collaborate with sliding rail and conveyor belt to transport and deposit objects into corresponding trash bins.

AI transportation system offers a highly realistic simulation of real-world operational scenarios. This enables a vivid and direct demonstration of artificial intelligence, robot engineering, and multi-machine cooperation technologies. Therefore, it serves as a nice tool for teaching students how to incorporate AI technology into everyday applications.

Ā 

Fully Equipped, Rapid Setup

The robot kit comes with abundant components, including an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map. With these resources at your disposal, you can easily construct a miniature intelligent city transportation system.

Ā 

AiNova Smart Transport Robot Car

Loaded with a 4-ch line follower, AI vision module and gripper, AiNova is able to detect waste while navigating along a line, then transport the detected waste to specific position.

Ā 

Object Transportation

Waste Detection

Line Following

Ā 

Cooperative Intelligent Sorting

1. AiArm Vision Robot Arm 1

Utilizing its AI vision capabilities, robot arm 1 can identify waste blocks, pick them up, and carefully place them onto the electric conveyor belt.

2. AiArm Vision Robot Arm 2

Robot arm 2 is responsible for detecting waste blocks on the conveyor belt and determining waste category using AI vision module. It glides along the sliding rail and precisely drop down waste blocks to corresponding trash bins.

Ā 

Ā Scratch & Python 2-in-1

AI transportation system can be programmed using Scratch and Python, which caters to users with varying levels of proficiency.

Scratch 3.0 Visual Programming

Scratch is a user-friendly and visually intuitive programming language. With Scratch, you can effortlessly drag and drop code blocks to program the robot.

Python Programming

Visual programs can be seamlessly converted into Python code, providing an opportunity to learn advanced programming skills.

Ā Ā 

AI Intelligent Vision Module Swift Image Processing

AiNova is loaded with a WonderCam vision module that possesses powerful computing capabilities. This allows for one-click AI training, eliminating the need for complex training processes and intricate vision algorithms.

With Metal Protective Case

WonderCam is encased in a metal protective case, offering full protection against scratches and enhancing its overall appearance.

Built-in 2-inch IPS Color Screen

WonderCam features a built-in 2-inch IPS color screen with a 320 x 240 resolution, providing a clear and first-person view user interface.

One-click Training Learning

WonderCam is not only capable of recognizing pre-built materials, but it can also be used to train other models. In addition, you can control the entire model training process by configuring parameters and indicators.

Ā Ā 

AI Vision Recognition
Diverse Recognition ModesĀ 

WonderCam AI vision can perform various AI vision functions, such as facial
recognition, object tagging, color recognition, and road sign recognition.

Ā 

Facial Recognition

WonderCam can detect a specified human face, capturing its position and size for precise facial detection, recognition, and tracking purposes.

Tag Recognition

WonderCam is capable of recognizing AprilTag. Through I2C port, external device can retrieve the position and 3D conversion data of the recognized tag, allowing for spatial localization.

Color Recognition

WonderCam has the ability to recognize object colors and retrieve their size and position, enabling color recognition and tracking functionalities.

Road Sign Detection

WonderCam can implement intelligent transportation and autonomous driving functions by recognizing road sings.

Ā 

Product Parameters

Ā Ā 

Ā AiArm Vision Robot Arm ParametersĀ 

Ā 

Size: 285mm x 162mm x 440mm
Weight: 1.7 Kg
Material: Hard aluminium alloy + PC plastic
Camera: WonderCam vision module
Display: 2-inch IPS, 320 x 240 resolution, size: 41mm x 31mm
DOF: 5 + 1
Hardware: CoreX Controller
Software: PC software and WoderCode (Scratch and Python)
Servo Model: LX-15D, HTD-20L and HX-06L serial bus servo
Control Method: PC Software
Power supply of robot arm 1 7.5V 7A DC 5.5mm x 2.5mm and 7.5V 3A DC 3.5mm x 1.35mm power adaptor
Power supply of robot arm 2 7.5V 7A DC 5.5mm x 2.5mm power adaptor

Ā 

AiNova Robot Car Parameters

Ā 

Size: 240mm x 140mm x 190mm
Weight: 0.74 Kg
Material: Metal
Camera: WonderCam vision module
Display: 2-inch IPS, 320 x 240 resolution, size: 41mm x 31mm
Power Supply: 18650 Lipo battery (3.7V 1800mah) x 2
Battery Life: 45 Minutes
Hardware: CoreX controller
Software: PC software and WoderCode (Scratch and Python)
Servo Model: HX-08L serial bus servo
Control Method: PC Software

Ā 

Ā Packing List

Ā 

FAQ
What components are included in the Autonomous AI Sorting Training Platform kit?
The kit includes an AiNova vision robot car, two AiArm vision robot arms, an electric conveyor belt, an electric sliding rail, a variety of sorting props, and a map, enabling a miniature intelligent city transportation system.
What programming options are supported for this platform?
It supports Scratch 3.0 visual programming and Python programming. Scratch blocks can be used for simple control and can be converted to Python code for more advanced programming.
How does the autonomous sorting workflow operate?
The AI vision module identifies waste categories, Arm 1 picks blocks and places them on the conveyor belt, and Arm 2 detects items on the belt and sorts them to the correct bins via the sliding rail.
Is this kit suitable for classroom use and what learning does it promote?
Yes, it is designed as an educational demonstration robot kit for teaching AI, robotics, and multi machine cooperation. It provides a realistic simulation of AI integrated into everyday applications.
How long does the AiNova car battery last and what powers it?
It runs on two 18650 LiPo batteries (3.7V 1800mAh each) and typically lasts about 45 minutes per charge.
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Welcome to the discussion thread for Autonomous AI Sorting Training Platform
Feel free to ask questions, share tips or report issues.
Add Post

For more discussion Click Here

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