Harvest Scanning Suitcase
This scanning suitcase is designed for farmers with medium to large harvests who seek to:
- Optimize harvest tracking
- Improve data accuracy
- Streamline operation
- Enhance productivity
This solution provides real-time data collection and efficient reporting, reducing errors and improving overall efficiency.
Team structure
1 Back-end developer, 1 QA engineer, 1 mechanical engineer, 1 electrical engineer
Used technologies
C++, Flutter, Java, Raspberry Pi, NFC, BLE, AWS.
Development approach
To achieve efficient QR code recognition, we utilized a Raspberry Pi 3 Model B with an Arducam Multi-Camera Adapter. This setup allows for multiple camera connections and optimized scanning performance. We implemented a transistor switch to control the LED strip for QR code backlighting, ensuring efficient energy usage. Our electrical engineering team developed a custom battery gauge and power PSB. To minimize device size, the mechanical engineering team incorporated mirrors.The system employs multithreading and async handling. Scanned data is transmitted to the mobile application via BL connection and subsequently uploaded to the cloud for centralized management.
Result
We successfully developed a fully functional prototype that meets all requirements for efficient QR code scanning, data capture, and wireless communication. It will help increase employee work efficiency and lower business expenses. The scanning suitcase is ready for field testing and deployment.