Fire and Smoke Detection Using YOLO Through Kafka

This study is based on deep learning techniques, which compare various detection algorithms and implement the suitable one for firework detection. The considered factors include streaming, speed, accuracy, and portability. Through a detection algorithm, it can simultaneously identify the positions of smoke and fire, providing subsequent control of fire or other applications. After comparison, we plan to perform detection results in a streaming manner, where only real-time detection of the captured scene is carried out. The system can notify people or teams in need of notification via the network.