安全通道异常_视频分析_算法市场_极视角（extremevision.com.cn）

Escapeway Detection

Keyword: Escapeway Detection Smart citySmart SecuritySmart buildingVideo analysisPublic safetySmart Park 单价：Subject to the agreed price Security、 Firefighting、 Supermarket、 Library、 Exhibition

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Introduction
Functional Demo
Application Scenarios
Related Algorithms

Based on the computer vision technology, the camera can identify abnormal conditions such as blocked safety channels and send an alarm to the monitoring room to clean up or repair it in time.

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写字楼

自动识别购物中心安全通道异常情况，及时通知管理人员，清理维修

自动识别写字楼安全通道异常情况，及时通知管理人员，清理维修

Hover Detection

Based on the computer vision algorithm technology, combined with the field camera, the system can automatically identify the times that the same person hovers, connected with the real-time alert system, the system help filling in the dead corners of man-made control, and strengthening safety control.
Crossing Detection

Based on the computer vision algorithm technology, combined with the field camera, the system can automatically identify the behaviors like straying in the areas such as coal belts, coal crushers, with the precision of up to 90%.
Entering Recognition

Based on AI vision analysis technology and the on-site camera, automatically recognize the entering behavior in the dangerous areas and warn timely. The dangerous areas include coal conveying belts, coal pulverizers, etc. The accuracy of this algorithm is higher than 90%. It has an excellent effect on improving the efficiency of manual supervision. It can be applied to platforms such as high-speed rail/subway/train, mine pedestrian safety detection, smart kindergarten and other scenes.
Climbing Recognition

Based on AI vision analysis technology, automatically recognize the climbing behavior in the specific area. If someone is detected to climb, a warning message would be sent to the backstage system.

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