An Automatic Boulder Removal System from a conveyor belt using an AI camera typically operates with the following workflow:
1. AI Camera Integration
- AI-powered camera is mounted over the conveyor belt.
- The camera continuously monitors the material being transported on the conveyor.
- The camera uses image recognition algorithms to detect large boulders based on size, shape, and other parameters.
- The AI is trained to distinguish between regular-sized materials and boulders.
2. Real-Time Data Processing
- As the material passes under the camera, the system processes the video feed in real-time.
- The AI identifies any boulders on the conveyor and flags them for removal.
- The system can be tuned to different sensitivity levels, depending on the size or type of boulders to be removed.
3. Automated Removal System
- Once a boulder is detected, the system sends a signal to a removal mechanism.
- This mechanism could be:
- Robotic arm: which moves the boulder off the conveyor.
- Air jet or hydraulic actuator: that pushes or diverts the boulder into a separate chute or bin.
- Tilt section of the conveyor: which tilts only when a boulder passes, allowing the boulder to fall into a collection area.
4. Safety and Error Handling
- The system includes safety protocols to ensure that the removal process does not cause any damage to the conveyor or other machinery.
- AI can log the detection and removal events to improve accuracy and to adjust the detection algorithms based on performance feedback.
5. Continuous Learning & Adaptation
- The AI camera system can be equipped with machine learning capabilities that allow it to improve over time. As it processes more images of boulders, it refines its accuracy in distinguishing between boulders and regular material, thus reducing false positives and improving efficiency.
This system helps in preventing conveyor jams, protecting downstream crushers or grinders from large material, and automating what used to be a manual process of boulder removal.