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Project: Implementation of cat (fluffy object) detection on Raspberry Pi 4, and its android mobile application.

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Cat Detector

Project work for deep learning. The purpose of the project is the creation of a cat detector using the following hardware elements:
- Raspberry Pi 4 model B
- Raspberry Pi Camera - 8 Megapixel (V2)

For the object detection, the following pretrained model (YOLO4 tiny, COCO) was used:
https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4-tiny.cfg
https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights
(Place these src/models_yolo4tiny/)

Github link to the repository of the pretrained model:
https://github.com/AlexeyAB/darknet

tapio_detected Figure 1: Cat detection

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Project: Implementation of cat (fluffy object) detection on Raspberry Pi 4, and its android mobile application.

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  • Kotlin 76.7%
  • Python 21.3%
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