Measure the approximate number of visitors at event venues, stadiums, restaurants, food courts and other spaces from surveillance camera images. A threshold for the number of people to determine congestion can be set and the real-time congestion status can be displayed on a website or digital signage. Depending on the size of the space to be monitored crowd detection, you can choose to use either the head or body detection method (for small to medium-sized spaces) or the crowd counting method (for large spaces) which estimates the number of people in an area based on the area of the crowd using a proprietary measurement algorithm.

Real-time congestion conditions at tourist attractions can be determined from surveillance camera images and displayed on homepages and digital signage. In addition to determining congestion, it can also be used to survey traffic volume and determine the number of people passing by at different times of the day by drawing a measurement line within the angle of view of the surveillance camera and measuring the number of people entering and exiting a specified location.

Disasters occur unexpectedly. At that time, it is necessary to grasp the number of evacuees, their demographics (male/female ratio, age group, etc.), and the congestion in the evacuation center to alleviate the mental stress of the evacuees and to deliver the right amount and quantity of relief supplies. Our AI system will support the operation of evacuation centers by estimating, grasping, and managing the number of people staying in the evacuation center and their demographics based on surveillance camera images. We can also provide AI applications to detect suspicious persons and people who stay in the same place for a long period of time, thus helping to ensure the security of evacuation centers.