Hanwha Vision WiseDetector Enables Devices to 'Train' to Detect Objects

The new Hanwha Vision provides the flexibility to perform machine learning models on new objects on the Wisenet P range of AI cameras.

WiseDetector It's the new machine learning-based feature (machine learning) that you have submitted Hanwha Vision For Train video cameras and detect new types of objects, according to an end-user-defined model. It is compatible with the P-series of AI-powered cameras and does not require a license.

This new feature provides customized solutions based on circumstantial requirements, allowing teams to efficiently manage any safety or security needs. Works efficiently by detecting distinct objects. Some examples of objects that can be trained to be detected are: Boxes that could be a hazard on the floor of the store, cones that obstruct roads or signs that block walkways.

The flexibility of customer-based detection machine learning It can create new opportunities for security teams to reinforce other measures, such as access control. For example, WiseDetector can also be trained to recognize open or closed doors, providing a visual alert that improves access control.

WiseDetector training is done using the device manager (Device Manager). Users don't need to have high technical knowledge to get started. This makes it relatively easy to set up and expands the possibilities of video analytics.

Users collect images of a selected object so that the machine learning model learns to recognize it. When using WiseDetector, You can use existing video analytics applications in your camera to trigger live events.

"We are committed to helping our customers use video analytics because of the many security benefits it offers, Operations and Personal Protection. WiseDetector is one of the ways we're achieving this alongside our state-of-the-art AI devices and deep learning algorithms, that continue to evolve and move forward", Explains Pread Um (Suk Bong), Chief Product & Marketing Officer, Hanwha Vision.

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