Smart City

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SenseCrowd Passenger Traffic Analysis Server
Product Description

SenseCrowd Analytics Server is there to prevent harm from overcrowding. There have unfortunately been many cases of stampedes leading to casualties when pedestrian density surpasses what a popular attraction can handle. SenseCrowd simply applies computer vision to figure out if locations such as parks, amusement parks, or malls may be overcrowded due to special events, and immediately alerts the administrators in order to avoid future casualties. This preventive measure is a cheap and simple solution against the unexpected.

Product Highlights

Supports ultra-large-scale crowd analytics scenarios ( >100 persons per camera)

Built-in dual algorithm that supports crowd analysis and crowd statistics

Secured anti-interference system with embedded optimization algorithms that effectively minimizes errors from lightings, crowd obstructions and complex backgrounds

Deep learning algorithm trained with a large dataset to break through image mosaicing and recognition patterns used in traditional crowd analytics scenarios

Multi-sensor combination mode and extended zone for overall handling

Tiered alert mechanism for in-depth integration of business applications

Usage Scenarios

Major transportation hubs:
airports, train stations, and bus terminals

Government buildings, immigration checkpoints and stadiums

High traffic areas:
amusement parks, industrial parks, and sites of important festivals