Update detection behavior: When user configure the task to only trigger one event per ID, the unknown ID will still be triggered again if the face is recognized. With this update, the system will now trigger an initial event when the face is unknown and a second event when it becomes known, ensuring that recognized faces are always captured even if they were previously marked as unknown.
New users are now required to have a user ID. If the field is left empty during creation, the system will automatically generate an ID for the user, which can be modified later if needed.
Add face score parameter to control face detection confident score
Add Active Engine setting to control the number of AI tasks running in parallel for resource optimization.
Add Input Trigger to create task execution condition. This feature allows automated event capture and processing based on external signals, enhancing flexibility for access control, traffic management, and security applications (available for pre-built and custom tasks)
System-Wide Performance Improvements: Overall system responsiveness and resource utilization have been optimized, resulting in lower CPU/GPU usage, reduced memory footprint, and improved throughput for high-density camera deployments.
Improve ALPR performance with faster detection speeds and higher accuracy rates
Fix an issue where cameras continued streaming in the background after a task was stopped. With this fix, camera streams will now properly terminate when the associated task is stopped, ensuring optimal resource usage and system performance.
Update description for each pre-built AI Task. Click the i icon next to task name to view description.
Update configuration layout
Add model sensitivity and dedicated smoke score for Fire & Smoke Detection task
Add Improper Object Placement task: Detects objects (e.g., such as vehicles, goods, waste, and other items) that are placed in areas where they should not be, causing obstruction or violating spatial rules.