Laser Journal, Volume. 46, Issue 3, 216(2025)
Design of UV fire warning system based on target detection
In recent years, frequent fire has caused a large number of casualties and property losses, so fire warning is becoming more and more critical. In order to effectively solve the fire early warning system response is relatively slow and the detection range is limited, resulting in limited early warning ability. Combined with the characteristics of fire, Jetson Nano (artificial intelligence edge computing suite) was used as the main control center, and LabelImg (label) was used to label more than two thousand image data. The training weight of fire image was obtained by YOLOv5 (target detection algorithm) training. Jetson Nano reads the image data collected by the UV camera and calculates whether there is a fire by training the weight. If there is a fire, it sends data to the microcontroller through the serial port of Jetson Nano to trigger the alarm. This design has been tested for fire and smoke detection accuracy of more than 80%, smoke and fire identification accuracy is high, fire early warning is rapid. Compared with the traditional fire detection technology, the detection range is wider, the accuracy is higher, and it is not easy to be affected by the environment.
Get Citation
Copy Citation Text
DONG Gang, LI Chengyong, LU Ying. Design of UV fire warning system based on target detection[J]. Laser Journal, 2025, 46(3): 216
Category:
Received: Aug. 23, 2024
Accepted: Jun. 12, 2025
Published Online: Jun. 12, 2025
The Author Email: