Real-Time Target Detection based on Raspberry Pi and Tiny-YOLO

Jun Liu ； Wenting Feng ； Lei Liao ； Tao Yang

《International Core Journal of Engineering》 7卷1期 (2021/01) Pp. 160-166

https://doi.org/10.6919/ICJE.202101_7(1).0021

摘要

With the advent of the information age and the continuous development of deep learning technology, more and more intelligent applications emerge as the times require. However, the traditional hardware equipment used for training and computing is usually based on the graphics processing unit (GPU), which often faces the disadvantages of high hardware procurement cost and energy consumption in practical application. Therefore, to balance the cost and algorithm availability in the existing deep learning system, this paper mainly introduces a real-time target recognition and detection based on a Raspberry Pi (RPi) and Tiny-YOLO algorithm after a simplified YOLO algorithm. Through the training model and test tuning in the actual environment, it is found that the final result meets the actual use, and the processing speed is 2 frames. The experiment shows that by deploying the Raspberry Pi mobile platform, combined with the Tiny-YOLO algorithm, the running cost can be greatly reduced in the case of practical application.

關鍵字

Raspberry Pi ； Tiny-YOLO ； Target detection ； VOC2012

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