The image-type flame detector is equipped with a high-performance embedded SOC processor with artificial intelligence computing acceleration capability. It has strong computing power, low power consumption, high stability, and can adapt to various indoor and outdoor operating environments. It runs the self-developed neural network AI algorithm, and multi-dimensional composite analysis logic to adapt to complex working environments.

The detector body carries the algorithm for real-time analysis, which can work independently without relying on the monitoring part, and can be deployed in batches to achieve large-scale fire detection and alarm. Real-time high-definition video hard coding supports H.264/H.265 encoding format, can play high-definition video in real time, and capture pictures immediately when the alarm is triggered, which is convenient for visual verification and confirmation. It supports real-time synchronous sound and light alarms at the front and back ends, and the detection end site and monitoring center respond in linkage, also supports seamless connection with fire alarm control systems and security monitoring systems. Optional switch control output, contact capacity 30V/2A; optional 4-20mA industrial field bus interface and HART protocol carrier communication interface; optional industrial-grade RS485 interface; optional electric heating temperature control function to adapt to extremely cold operating environments.