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PRODUCT INFORMATION
| Product Parameter | |
| Deep learning garbage sorting line is a visual production line based on OpenCV deep learning. Visual algorithm is used to learn and train to identify different types of garbage. The sorting is realized through communication with the WLAKTA Mirobot. | |
| Teaching Objectives: 1. Master the control and motion principle of industrial six-axis robotic arm through unit learning 2. Deep learning algorithm based on OpenMV's visual learning |
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| OpenCV deep learning parameter | |
| Size | 900mm*400mm*600mm |
| robot arm | 1 unit |
| Conveyor Belt | 1unit |
| Control | Jetson Nano |
| Robot arm parameter | |
| Axis | 6+1 |
| Control | Arduino |
| Vertical Payload | 450g |
| Omnidirectional Payload | 150g |
| Control | PC/APP/Bluetooth controller/Run offline |
| Range of motion | 320mm(multi-angle at the end) |
| Scalability | Python/Java/C/C++/C#/Ros |
| Voltage | 100 -240 V, 50/60 Hz |
| Input | 12 V/5 A DC |
| Power | 60W |
| Temperature | -10℃-60℃ |
| Material | Aluminum alloy, ABS engineering plastics |
| Robot arm axis motion parameters | |
| Axis 1 | -100°~+100° max speed 31°/s |
| Axis 2 | -60°~+90° max speed 65°/s |
| Axis 3 | -180°~+50° max speed 28°/s |
| Axis 4 | -180°~+180° max speed 110°/s |
| Axis 5 | -180°~+50° max speed 33°/s |
| Axis 6 | -180°~+180° max speed 66°/s |
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