Solution > Application of LiDAR in crowd detection
Application of LiDAR in crowd detection
Emergency linkage, resource optimization, and full scenario coverage
Medium distance light pulse series
Industry/Project Background Introduction
With the acceleration of urbanization, the flow of people in high-density places such as shopping malls, office buildings, schools, and scenic spots continues to rise. In emergencies such as fires and earthquakes, traditional evacuation methods face enormous challenges. To optimize emergency rescue efficiency, the intelligent crowd monitoring system uses multi-dimensional sensing technology (such as 3D visual analysis, heat map tracking, etc.) to obtain real-time accurate crowd flow and distribution data in various areas. The system can dynamically monitor the passenger flow density of key passages such as elevators and stairs, and combine AI algorithms to analyze personnel flow trends and generate visual heat maps. When a disaster occurs, these real-time data can assist the command center in quickly formulating rescue plans, reasonably allocating emergency resources such as fire and medical care, prioritizing the evacuation efficiency of high-density areas, increasing rescue response speed by more than 40%, and minimizing casualties.
Application scenarios
- When a disaster occurs, second level push of pedestrian flow data to the rescue command platform
Technical Proposal
- When a disaster occurs, second level push of pedestrian flow data to the rescue command platform
- Improve the efficiency of rescue force allocation by 50% and double the utilization rate of golden rescue time
Customer Value
- Support real-time monitoring of various high-density places such as shopping malls, schools, and transportation hubs
- AI generates real-time personnel distribution visualization model to locate congestion risk points
Technical highlights
- Adopting multi-sensor fusion technology, the accuracy of crowd counting is ≥ 98%
Case diagram
Case 1
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