Intelligent video inspection solution for cement factory
In recent years, with prevailing high-definition video surveillance , video surveillance systems have required better performance.
However, the traditional video surveillance technology system must rely on a large number of people to keep an eye on the screen, monitor the real-time video of all cameras, and replay related video recordings to achieve full-scale real-time monitoring, command and dispatch, and video recording retrieval and verification. How to filter out useless videos and liberate manpower needs to rely on video analysis technology. Intelligent video analysis technology is such a product involving image processing, pattern recognition, artificial intelligence and other technologies. Based onset rules, it will analyze the abnormal situation in the video area and send out warning information in time. It strives for better analysis and surveillance ahead of time. As cement factories continue to invest in the construction of security monitoring systems, more and more video surveillance equipment are deployed. While ensuring safe production in the plant area, they are also facing many problems, mainly as follows:
● The monitoring personnel cannot watch the monitoring screen for a long time, and often miss or omit important details;
● Monitoring personnel cannot cover all surveillance cameras, and the camera utilization rate is low, most of which are only for retrieving recorded video in the aftermath;
● Surveillance recording only exists as a way of tracing accidents in most cases, and early warning cannot be achieved. After the accident, it takes a lot of time to locate the accident recording, which has a serious impact on decision-making and emergency response.
For the current situation of cement plant security monitoring system , GS-IVAS1000 intelligent video analysis and early warning system uses the network high-definition camera installed in the inspection route of the production equipment to perform AI analysis on each pixel in each frame of the video so as to achieve automatic detection and analysis. It achieves early detection and early warning of safety hazards, and comprehensively improve the level of intelligent safety supervision of enterprises through the form of upgrading traditional video surveillance system to that of automatic warning.The front-end sensing equipment of the system is responsible for real-time data collection of on-site process and production equipment, real-time detection, analysis and warning are carried out through the back-end AI algorithm server (integrated with multiple video analysis algorithms), and the display layer operation client realizes the comprehensive analysis results of intelligent video inspection and warning information,supporting interaction with the DCS system and coordinated warming.
3. Main functions
● Image analysis: Based on computer vision technology to analyze the video image of the surveillance scene, distinguish and identify key target objects from the complex video images;
● Automatic analysis: Automatically extract the key useful information from the video source to form a monitoring method corresponding to events and alarms, so that monitoring system will play a better role;
● Automatic early warning: automatically analyze the video and alarm, reduce the high error caused by the human error of the monitoring personnel, and at the same time transform the traditional "passive" video surveillance into " Active” monitoring, real-time monitoring and recording of the event process when an alarm occurs.
● 7×24-hour real-time detection and analysis to ensure that production equipment and environment are in a safe state, optimize production processes, and ensure personal safety;
● Replace manual inspections, reduce labor intensity, avoid working in dangerous environments, and improve employees’ occupational health;
● Design products according to the scene, realize intelligent detection, analysis, and early warning of various application scenarios, to ensure that what you can see, test accurately, and use it for a long time;
● Help cement factories tap the value of data and further improve the level of intelligence of the enterprise;
● Through automatic early warning of safe production, reduce production accidents, increase the utilization rate of production equipment, reduce downtime and costs, increase efficiency.
5. Application case
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