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Passenger Traffic Analysis Server
SenseCrowd Server helps administrators to reduce overcrowding, minimizing risks such as stampedes. Utilizing computer vision algorithm, SenseCrowd can be applied to public areas, amusement parks, or stadiums that might be overcrowded during special events and immediately alert administrators of the situation to prevent any incidents. It is a simple and cost-effective application for crowd control.
Tiered alert mechanism for in-depth integration of business applications
Multi-sensor combination mode and extended zone for overall handling
Deep learning algorithm trained with a large dataset to break through image mosaicing and recognition patterns used in traditional crowd analytics scenarios
Secured anti-interference system with embedded optimization algorithms that effectively minimizes errors from lightings, crowd obstructions and complex backgrounds
Built-in dual algorithm that supports crowd analysis and crowd statistics
Supports ultra-large-scale crowd analytics scenarios ( >100 persons per camera)