Fruit recognition system based on Raspberry Pi and YOLOv5
Chunxin Huang,
Changyuan Liu,
Yiwen Zhao
Abstract:With China’s booming economy, agricultural modernization has become an unstoppable trend. In order to solve the problem of real-time detection of multiple kinds of fruits, a real-time detection system of multiple kinds of fruits based on Raspberry Pi was developed. We trained the YOLOv5 network on a homemade multi-species fruit dataset. In the end, it not only realized the recognition of various types of fruits but also was able to output their location coordinates in the image. At the same time, we used the e… Show more
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