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Integrating Flir One Pro With Raspberry Pi for YOLOv7 Worm and Egg Detection — Thesis Design project by YenkoDev

Integrating Flir One Pro With Raspberry Pi for YOLOv7 Worm and Egg Detection

Software as a Service

No

Category

Thesis Design

Clients

Mapua University

Techstack

PythonYOLOv7Raspberry PiOpenCVPyQt5

Purpose

Detect worms and eggs automatically using thermal imaging, pairing a Flir One Pro camera with a YOLOv7 model to improve pest detection and monitoring.

Description

The prototype connects a Flir One Pro thermal camera to a Raspberry Pi, where a custom-trained YOLOv7 model identifies and classifies worms and eggs in the thermal feed. A PyQt5 main window displays the camera stream with detections overlaid, and the model was validated against a labeled set of test images. Developed as a thesis project at Mapua University.

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