Embedded smoke recognition system based on object detection

Jie Xiao; Aimin Xiong; Xusong Luo; ChaoWei Zhou; YuQi Wu

doi:10.1117/12.2640348

1 August 2022 Embedded smoke recognition system based on object detection

Jie Xiao, Aimin Xiong, Xusong Luo, ChaoWei Zhou, YuQi Wu

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122571Q (2022) https://doi.org/10.1117/12.2640348
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

Fire is one of the most frequent and common disasters endangering public security and threatening social development. There are various causes of fires, but fires that cause major personnel and property losses are usually caused by untimely detection, late alarm, and other reasons. In the initial stage of fire, the traditional smoke-concentrated sensor is often used to detect the temperature of the fire. If immediate and effective measures are not taken in the early stage of fire, it is easy to cause large personnel and property losses. Therefore, aiming at the problem of smoke detection in the early stage of fire, an embedded smoke recognition system based on object detection is proposed in this paper. The system adopts data enhancement to expand the data set, transplants the YOLOv5 object detection algorithm to the embedded system to recognize smoke, and sends the alarm information to the terminal. It has good recognition effect and meets the needs of smoke detection in the early stage of fire.

Citation Download Citation

Jie Xiao, Aimin Xiong, Xusong Luo, ChaoWei Zhou, and YuQi Wu "Embedded smoke recognition system based on object detection", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122571Q (1 August 2022); https://doi.org/10.1117/12.2640348

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