Hanwha Techwin announces it has expanded and updated its line-up of P-Series AI cameras with 5 new entry level 2MP HD models in IR bullet, domes, vandal domes and box camera variations.
Hanwha P-Series AI cameras include license-free video analytics based on deep learning that can detect various object types such as people, vehicles, faces and license plates as well as identify unique object attributes such as a person’s age group, gender and clothing colour, or a vehicle’s type and colour.
The cameras offer enhanced people counting, queue management and heat-map functionality with no requirement for overhead mounting. Digital auto-tracking provides a second video stream featuring close-up detail on objects being tracked. Wisenet AI cameras can significantly reduce the false alarms generated from irrelevant movement such as moving trees, shadows and animals. Enhancements to the line include WiseNR II noise reduction, which utilizes AI to identify object movement and reduce blur in noisy low light environments.
AI-based Preferred Shutter technology automatically adjusts the shutter speed based on classified objects in motion and the lighting condition in a scene to reduce motion blur and deliver the clearest images. By utilizing the results of AI-based object detection, WiseStream III technology adjusts the video encoder to focus maximum video quality on the detected objects in a scene while scaling back encoding on the rest of the scene.
Adjustable by the end user, this technology can provide data reduction of up to 80 per cent depending on the environment. Further data reduction is achieved with the BestShot feature which ensures that only the most suitable image of a detected object is sent back to the server.
AI object and attribute metadata (colour, type, age, gender) is stored alongside the video image data for use during forensic search. VMS systems from Genetec and Milestone, as well as Wisenet WAVE and Wisenet X NVRs enable users to filter and search using this enhanced metadata.
Contact: Hanwha Distributors
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