AI-based image analysis technology is used to automatically extract vehicle information from huge volumes of video data, using cameras installed in our cities. Not only are items detected and counted, but also identifies classes and specific vehicles, making it suitable for all kinds of urban scenarios.
The software can recognize and count the number of vehicles.
The software can recognize vehicles, and identify vehicle types / makes / models / and colors.
The software can detect license plates and recognize the numbers on the license plates.
AI-based image analysis technology is used to automatically extract human information from huge volumes of video data, using cameras installed in our cities. Not only are items detected and counted, but also identification "classes" and specific individuals can be identified, making it suitable for all kinds of urban scenarios.
The software can recognize people, and count the number of people.
Without identifying individuals, the software can estimate age cohorts and genders of people in crowds.
Even when a crowd is milling about randomly in the street, when the individual people are quite small in the image, and even when their faces are not visible, the system can estimate attributes based on physical characteristics such as hairstyle and clothes.
The software can recognize people and identify clothing types and colors.
The facial recognition function of this solution can be distinguished in a highly accurate fashion, identifying between people who look similar with pre-registered, individual profile images.
The function to automatically select the best frames enables accurate facial recognition.
Applying human detection technology using AI, seat position can be automatically estimated. Moreover, this software can distinguish between people who stand and people who sit.
The software can calculate the number of people who pay attention to advertisements, the amount of time people look at them, and the viewership rate for advertisements by evaluating the viewing direction of large groups in videos taken from cameras installed near digital signage and billboards, without identifying specific individuals. Moreover, based on factors such as the angle and direction of the a person’s head, the system can detect their viewing direction even when they are relatively small in the image or when their faces are not visible (patent is pending for this technology that outputs viewing information suited for measuring ad value.)
The results of AI vehicle / human analysis can be provided via the standard client of GREENAGES Citywide Surveillance. Alternatively, the results can also be provided to the user-specified GUI using an API.
For the administrators of CCTV systems, the function of searching the specific vehicles/people from real-time data or archived data is provided via an integrated monitoring view.
This web-based application provides user-friendly functions through using the information obtained by analyzing surveillance camera video. This is in order to set the conditions for vehicle and/or people counting, and to display statistical information. Alternatively, the information can also be provided as an API.
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