Reducing false alarm based on deep learning technology
The Wisenet P Series delivers 4K Network Cameras with AI algorithms, it filters out irrelevant movements caused by environmental changes such as waving trees, shadows, or animals. While conventional cameras detect motion based on its pixels and generate events even if users want to ignore, Deep Learning-based Wisenet AI cameras generate event alarm only for people and vehicles, reducing false alarms for more efficient operation.
AI End-to-End Security Solutions
As AI becomes more broadly adopted across industries, it is likely to be more widely incorporated in video surveillance in the upcoming year. Edge-based AI (which filters and processes data locally on a camera) will be more ubiquitous, enabling end-to-end AI technology. Today, most security cameras send the data they collect to servers to be analysed. However, with edge-based AI, the data is analysed by the camera first, and subsequently sent to the server. This reduces the burden of transferring and storing large amounts of data to a server, thereby increasing efficiency, saving time, and reducing server costs typically required to analyse data.
Attribute, Best Shot for the forensic search
Metadata including attribute (people : age, gender, colors of top/bottom clothes, wearing glasses, Vehicle : types, colors) is sent to the backend server and used to extract information on specific situations, significantly reducing the time to search the entire video. And Wisenet P series AI cameras are equipped with the BestShot feature for re-identification which ensures that only the most suitable images of classified objects are sent to the backend server.
VMS Integration for forensic search
Wisenet P series AI cameras offers integration of video management system from Milestone, Genetec using Hanwha’s plugin and Wisenet WAVE. This plugin supports seamless integration so that users can easily search the AI events on Milestone, Genetec including Wisenet SSM, Wisenet Wave.