Project overview
A precision robotic arm system that uses computer vision and machine learning to identify, pick up, and place objects with high accuracy. The system is powered by Raspberry Pi and features custom control algorithms.
The control interface includes a web-based dashboard for monitoring arm operations, camera feeds, and manual control options. The system also features voice commands and gesture recognition for intuitive interaction.
What we did for this project
We developed an intelligent robotic arm system that combines mechanical precision with advanced computer vision capabilities to perform complex pick-and-place operations autonomously.
- Mechanical arm design and assembly
- Computer vision algorithm development
- Raspberry Pi integration and programming
- Control system optimization
- Web-based monitoring interface
- Testing and calibration procedures
Project results
Achieved 95% accuracy in object detection and placement tasks across various object types and lighting conditions.
Reduced manual sorting time by 70% in laboratory testing scenarios, demonstrating significant automation potential.
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