With the continuous innovation and development of science and technology, artificial intelligence has become an important part of modern society. In addition to being widely used in transportation, medical care, electric power and other fields, artificial intelligence also has a wide range of applications in the field of fire protection. As an important part of TSINGSEE's AI intelligent analysis gateway V4, AI pyrotechnic recognition algorithm is playing an increasingly important role in the field of urban fire protection.
AI intelligent analysis gateway V4 has nearly 40 built-in AI algorithm models, among which pyrotechnic detection and recognition is a visual recognition algorithm based on deep learning technology, which is mainly used to automatically detect and identify the behavior of smoke and flame in the most advanced monitoring scene. The technology is based on deep learning neural network technology, which can dynamically identify the state transition process of smoke and flame from presence to none, from small to large, from large to small, from small smoke to thick smoke, and supports real-time detection and analysis of people, vehicles, objects, and behaviors on the access image, reports the recognition results, and can carry out voice alarms. The hardware management platform supports RTSP, GB28181 protocol, and manufacturer's private protocol access, which is compatible with common manufacturer-brand equipment on the market, compatible with IPC, network sound columns, etc., and also supports the access of smart cameras. For smart cameras that have been deployed with algorithms, the platform can also display and display the alarm information uploaded by the cameras.
Through the built-in smoke and fire recognition algorithm of the hardware or access to the smoke and fire detection camera, the scene can be monitored and analyzed in real time, when the scene of suspected smoke, flame and fire point is detected, it will be captured and alarmed by means of active warning push, and the alarm can also remind the management personnel to view and deal with it in time through pop-up windows and prompt sounds. In addition, the intelligent analysis gateway V4 also supports the access of IoT sensors, which collects real-time monitoring of temperature and humidity data and smoke sensing status by accessing smoke sensors, temperature and humidity sensors, and greatly improves the multi-dimensional perception of fire hazards on site.
The AI smoke detection camera adopts the self-developed smoke and flame recognition algorithm based on artificial intelligence technology, combined with the optical imaging characteristics of flame and smoke, to achieve high-resolution full-color image smoke and flame detection, with the characteristics of long recognition distance, strong anti-interference ability and high recognition accuracy.
1) Flame monitoring: The intelligent monitoring algorithm can detect the existence of flames through the ** monitoring system. These algorithms are able to analyze pixel changes in an image and identify the characteristics of the flame, such as color, shape, and motion. As soon as a flame is detected, the system can immediately raise an alarm and notify the relevant personnel.
2) Smoke detection: The intelligent monitoring algorithm can detect the existence of smoke through the ** monitoring system or smoke sensor. These algorithms can identify smoke signatures in an image, such as density and shape. As soon as smoke is detected, the system can sound an alarm and trigger the corresponding fire emergency measures.
3) Fire: The intelligent monitoring algorithm can analyze the historical data and environmental parameters of the fire site, such as temperature, humidity, oxygen concentration, etc., to improve the possibility of fire. This allows for precautionary measures, such as increased deployment of firefighting equipment and personnel, to reduce fire losses.
4) Fire diffusion monitoring: The intelligent monitoring algorithm can monitor the spread of fire by analyzing ** images or smoke sensor data. These algorithms can analyze the location, velocity, and direction of fires to help firefighters make more accurate decisions and guide firefighting actions.
In general, the application of AI algorithms in the intelligent analysis gateway V4 in firefighting scenarios can help monitor fires and smoke in real time, provide early warning functions, and monitor the spread of fires. These applications help improve the detection and response speed of fires, reduce the loss of people and property caused by fires, and improve the efficiency of firefighting.