ChenAnIoT Innovative AIoT products and smart building solutions
For residential areas, cultural and museums, buildings, key industrial infrastructure and other perimeter, traditional anti-theft means such as into the work patrol, conventional visible light monitoring, electronic fences, etc., can not be 24 hours a day to quickly and accurately find intrusion events, timely alarm containment, easy to cause economic losses, there are security risks.
Thermal imaging perimeter programme can achieve all-weather image acquisition, long-distance detection, visual management, alarm more accurate. When abnormal intrusion occurs, it can realise rapid alarm and linkage to notify the relevant personnel to deal with, thus reducing the security risks caused by abnormal intrusion.
Business Description
Traditional perimeter protection relies on security patrols, manual monitoring, infrared countermeasures, etc., which has a high false alarm rate and cannot meet the security requirements of the park; ChenAnIoT combines edge computing, AI, and other emerging technologies to provide a scalable and highly reliable perimeter protection solution for the park.
Business Trends and Requirements
Perimeter protection in parks is gradually evolving from traditional protection modes to more reliable and intelligent protection methods; new technologies such as cloud computing, big data, IOT, edge computing, and AI are being applied to more and more security scenarios, thus reducing security’s dependence on people, significantly improving security effects, and enhancing the security capabilities of parks.
False alarm rate of traditional perimeter protection is high
The park has a large area, the building architecture is widely distributed, the surrounding people are complex characteristics, the traditional means of perimeter protection false alarm rate is high.
Manual real-time monitoring, high miss rate, high cost
Monitoring centre personnel, in the monitoring centre to watch real-time perimeter monitoring video, important security events are very easy to miss; manual real-time video monitoring, high manpower costs.
Difficulty in retrospectively deducing the incident
After the incident, the retrospective all rely on manual access to a large number of surveillance video, manual registration records, the whole incident retrospective deduction is difficult, forensic difficulties
7×24 hours all-weather guarding
All-weather effective image acquisition, in the absence of light / strong light / backlight and other environments, to achieve leakage, false alarm less; for fog, haze and other scenarios, thermal imaging based on thermal attributes of the imaging principle, effective through the fog in addition to haze.
Longer Detection Distance
Thermal imaging is based on the detection of thermal properties over longer distances. Compared to visible light, less equipment needs to be installed for the same distance.
More accurate alarms
Based on the function of deep learning (cross-border intrusion, area intrusion, entering/leaving the area), the alarm accuracy rate is high under all-weather conditions. The product supports dual-light linkage, thermal imaging real-time monitoring, visible light real-time forensics, eliminating the need to rebuild the visible light monitoring system.
More efficient detection
Thermal imaging cameras are based on the detection of thermal attributes for efficient detection of people hiding in the dark or in the bushes.