I designed a proof-of-concept for an IoT system to help farmers protect their crops from theft. The system uses a solar-powered camera to periodically capture images of a field and applies computer vision algorithms to calculate plant density. By comparing the current density to previous readings, the system can detect sudden, significant drops—indicating a potential theft event—and automatically trigger an alert. This provides a more efficient and automated way for farmers to monitor their assets and improve crop security.
- My Role: System Designer & Computer Vision Engineer
- Technologies Used: Computer Vision, IoT, Machine Learning
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