Design of Fire Alarm System Based on K210 and Deep Learning
Abstract: The fire alarm system can send out alarm signal timely in the early stage of the fire, which can effectively control the fire and reduce the loss caused by the fire. Aiming at indoor fire warning, a fire detection and alarm system based on K210 and Yolov2 is designed. The image information is obtained by the image sensor in real time and sent to the main control chip, and then the main control carries out the convolutional neural network operation detection. Sound and light alarm can be realized when a fire is detected.
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