Vision and artificial intelligence (AI) is one of the key technologies of new infrastructure, and it is also one of the most important basic capabilities. Driven by data, algorithms, and computing power, the two are constantly making progress to meet the application needs of a wider range of industries and scenarios, and are showing an increasingly strong convergence trend.
Focusing on the core needs of pyrotechnic monitoring, Saida Technology's pyrotechnic recognition algorithm integrates Saida Technology's powerful capabilities to automatically identify and analyze first-class image information, timely discover and alarm fireworks hazards in the monitoring area, and play a key role in fire prevention and fire treatment.
Flame identification
Based on the recognition training of large-scale flame data, combined with the camera, the real-time monitoring and early warning of open fire hazards in the monitoring area is combined. It is suitable for construction sites, shopping malls, supermarkets and other places where there may be fire hazards, and can play a role in a variety of complex indoor and outdoor environments.
Smoke recognition
Based on large-scale white smoke data recognition training, it can identify the white smoke situation in the monitoring area in real time, and give an immediate alarm if any abnormality is found. As soon as white smoke is detected, the system will immediately sound an alarm, which is suitable for factories, shopping malls, steam operations and other places where there may be fire hazards.
Open flame and smoke identification
By detecting and alarming red and yellow flames with obvious flame shapes, as well as white and black smoke, the ability to detect dangers is further improved, and potential fire risks can be efficiently dealt with, providing strong support for fire safety management.
Pyrotechnic recognition algorithms have a wide range of application prospects. In the field of fire safety, the efficiency of fire early warning and treatment is improved through timely detection of dangerous situations; In industrial production, real-time monitoring of white smoke in factories, chemical plants and other places helps to reduce production risks and ensure production safety; Overall, pyrotechnic recognition algorithms can improve fire monitoring and prevention capabilities, and play an important role in many fields to ensure the safety of people's lives and property.