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As businesses re-open with new policies regarding social distancing and occupancy limits to protect from the COVID-9 pandemic, it’s never been more important to accurately count customers and employees as they enter and exit the premises.
Unlike traditional, imprecise methods of people counting with dedicated overhead cameras, a new artificial intelligence-based line of 4K cameras deliver high accuracy with people counting based on the camera’s AI object detection algorithm.
The Wisenet P series AI cameras unveiled recently capture pristine images at up to 4K resolution while including powerful, in-camera deep learning algorithms for advanced object detection, classification and error-free analytics.
Utilizing object recognition versus motion detection all but eliminates false alarms while also providing valuable business and operations insight.
The new cameras were introduced by Hanwha Techwin America which specializes in IP and analog video surveillance solutions.
The included, license-free analytics detect and classify a range of objects including people, vehicles, license plates, and faces, to provide more reliable edge-based intelligence.
Unique attributes of the objects are also stored as metadata alongside the video information, including people’s colors of clothes, wearing of glasses or not, wearing or carrying a bag, age group, gender, etc. For vehicles, the classification includes vehicle types and colors.
This metadata can be read by a VMS server and used in post-event forensic search to significantly reduce time spent investigating specific events, according to americansecuritytoday.com.
The cameras are equipped with a ‘BestShot’ feature which ensures that only the most suitable image of classified objects is sent to a backend server.
The digital auto-tracking feature provides two simultaneous streams of video, enabling operators to see the camera’s full field of view, whilst simultaneously viewing a Full HD digital PTZ auto-tracked image of a person or vehicle.