Ozone’s advanced video analytics system is especially designed to detect human movement and face recognition for various applications. Using stored database of faces, the facial recognition engine automatically detects and records people’s faces that appear in the cameras’ field of view. Equipped with deep learning facial recognition solution, the system integrates face detection, face tracking, face recognition, image storage, face search and triggers automatic notifications and alerts.
The Ozone’s advanced video analytics system includes
The feature detects, tracks, identifies and captures faces from the camera(s) field of view in real time.
The feature allows the user to register faces (people) from various input sources including user input and the detected faces on the camera(s) etc. These faces (people) can be classified as allow list, block list and other customizable groups for various used cases such as access control management etc.
Using the advanced algorithm and program, Facial recognition solution analyzes videos streams from multiple channels in real-time and matches the results against previously stored images database.
Ozone’s face search solution is designed to search face(s) in real-time from multiple channel streams simultaneously and match against watch list of individuals. The feature supports face search by using single mode 1:N and group mode M:N.
The face track feature enables the capability to tag and track faces (people) in real time from multiple channel streams simultaneously, and automatically track the marked face (people) activities/actions and whereabouts throughout the CCTV network.
This functionality allows the user to build multi-dimensional information statistics by date/time/face/event and present the information using graphical tools. The information can be customized to the user requirement including date, time, period, alow/block list etc.
The Ozone’s facial recognition solution extracts faces in real-time from the video footage and match the same with the watch list of faces (people). The system raises an alert which can be used for alarms, app notifications, recording, emails etc.
Using the face detection and recognition feature, the system supports various applications such as access control management, visitor check-in management, attendance management etc in real time.