Prototype Detects Conveyor Belt Movement Using OpenCV
A developer built a prototype using Python and OpenCV to detect conveyor belt movement and count items, with a recycled conveyor controlled by an Arduino and deployed on a Raspberry Pi. The system was developed in Visual Studio Code and automates preliminary cloud data ingestion by identifying moving belts and transported materials in real time. Next steps include sending detection events to the cloud for monitoring and optimization.
Key Points
- 1Detects conveyor movement and counts items using Python/OpenCV on a Raspberry Pi
- 2Uses low-cost hardware (Arduino, recycled belt) enabling real-time monitoring without heavy AI
- 3Provides actionable edge-level signals to automate cloud ingestion and resource optimization workflows
Scoring Rationale
Practical, low-cost prototype with direct applicability, limited novelty and single-source implementation restricts broader impact scope.
Sources
Public references used for this report.
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