Fixed a bug where Hikvision emulation settings would reset upon reactivating OMNI Agent on OMNI Platform, unless OMNI Agent was restarted after modifying them.
Updated HAR model for enhanced human action recognition accuracy.
Introducing the feature to process video files directly from the web interface.
New option to save storage space in OMNI Platform by disabling the transmission of original frames in events.
Now object coordinates from the original frame are included in events, enabling seamless person movement tracking without transmitting original frames.
Sending facial data in Hikvision smart camera format from OMNI Agent, ensuring smooth integration of standard and "smart" cameras for streamlined image processing.
Optimized template generation setting via the web interface. You can now work with the initial biometric template (built from the first best shot of the face) or initiate a search for the best shots across the entire track to generate higher-quality templates.
HAR (Human Activity Recognition) and ROI (Region of Interest) detections are now transmitted to OMNI Platform as event-service events. This provides a unified integration approach for data transmission to external systems for both face identification/non-identification and action recognition.
It's now possible to eliminate duplicate identification and human action recognition events caused by changes in perspectives, head rotations, people crossing tracks, or brief obstructions (event cooldown).
Added the ability to limit the camera's field of view through configuration files and the dashboard. This helps exclude duplicate detections/identifications from cameras whose fields of view intersect and overlap, as well as to eliminate false detections/identifications at the edges of the lens where optical distortion occurs.
Added full support for body tracking on ARM64 (Jetson), along with MQTT protocol support for output data and the ability to configure process transmission via MQTT. This makes it easier to integrate OMNI Agent with end devices in solutions where OMNI Platform server is not required.
It's now possible to change videoworker settings on OMNI Agent through configuration files to ensure optimal performance for the required quality of face detection and identification.
Previews are now only rendered when viewing a camera in the web configurator, saving processor resources.
Improved body tracking and HAR (Human Activity Recognition) detection quality.
The web configurator interface has been enhanced based on user feedback to expedite learning and simplify OMNI Agent setup. For example: enabling CUDA, configuring camera visibility zones, binding licenses for Standalone mode, setting face identification thresholds, and more.
Fixed incorrect naming of identification fields far and frr in identification events and activities.
Added human activity recognition (HAR): falls, fights, lying and sitting. Now you can build business solutions to identify situations in which people need help.
Added OMNI Agent installation without GUI, which allows you to install it on server machines, as well as remotely via ssh;
Added people tracking on a floor map. This feature allows you to build high-level business intelligence (heat maps of people flows, people coming close to potentially hazardous areas, or getting into advertising areas, etc.).
Added the ability to recognize and track people who get into the regions of interest (ROI) or cross the lines marked on the frame from camera. Now you can organize perimeter security without fences and other physical barriers, control people coming close to the cliffs and bridge railings, react to people in certain camera areas for advertising purposes, etc.
Added the ability to deploy OMNI Agent in an isolated environment as a standalone application without connection to OMNI Platform. This feature allows you to use the API in third-party business solutions in the silhouette and face detection mode (without identification using OMNI Platform), reducing the cost of maintaining the server part.
Support for the ARM64 platform including NVIDIA Jetson (for face detection and tracking). Now it's possible to run the application on hardware with more computing power.
The installer has been reduced by half, as support for 11v1000 and earlier facial recognition methods has been discontinued. Faster downloading and saving of disk space after installation.
Added collection of "traces" (detailed logs) to analyze the results of video processing and identify problems.
Body detection pipeline now uses no more than 2 cores per thread instead of using all available ones. Now hardware resources are used more efficiently.
Fixed a rare overflow of the internal queue of OMNI Agent modules on slow machines. As a result, it was possible to optimize the use of hardware resources and improve the stability of OMNI Agent.
Fixed flickering body detections in the preview so that the user does not have a feeling of instability of the functionality.
OMNI Agent uptime is now shown in the web interface. Now you can find out about instability caused by external factors about which OMNI Agent cannot generate an error;
Guaranteed delivery of events when OMNI Agent works in networks with an unstable connection.