Autonomous AI Sorting Platform
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.
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.
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.
Object Transportation |
Waste Detection |
Line Following |
Cooperative Intelligent Sorting
1. AiArm Vision Robot Arm 1Utilizing 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 2Robot 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. |
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 ProgrammingScratch is a user-friendly and visually intuitive programming language. With Scratch, you can effortlessly drag and drop code blocks to program the robot. |
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Python ProgrammingVisual programs can be seamlessly converted into Python code, providing an opportunity to learn advanced programming skills. |
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 CaseWonderCam is encased in a metal protective case, offering full protection against scratches and enhancing its overall appearance. |
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Built-in 2-inch IPS Color ScreenWonderCam features a built-in 2-inch IPS color screen with a 320 x 240 resolution, providing a clear and first-person view user interface. |
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One-click Training LearningWonderCam 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. |
AI Vision Recognition
Diverse Recognition Modes
WonderCam AI vision can perform various AI vision functions, such as facial
recognition, object tagging, color recognition, and road sign recognition.
Facial RecognitionWonderCam can detect a specified human face, capturing its position and size for precise facial detection, recognition, and tracking purposes. |
Tag RecognitionWonderCam 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 RecognitionWonderCam has the ability to recognize object colors and retrieve their size and position, enabling color recognition and tracking functionalities. |
Road Sign DetectionWonderCam can implement intelligent transportation and autonomous driving functions by recognizing road sings. |
Product Parameters
AiArm Vision Robot Arm Parameters
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 |
AiNova Robot Car Parameters
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 |
Packing List