How to configure AI-assisted Auto-tracking in Hanwha AI PTZ cameras

Applies to: X-Plus AI PTZ cameras, PNM-C34404RQPZ, PNM-C19183RVTP

Summary

AI-assisted auto-tracking uses deep learning algorithms to process video footage in real-time and provide a proactive approach to security and monitoring. This article describes how to configure AI-enabled object-based auto tracking. In this article, the PNM-C34404RQPZ is used as an example. The same process applies to any Hanwha Vision Camera that supports AI-assisted auto-tracking.

Configuring Auto-Tracking

To configure auto-tracking: 

1. Log into the camera via web browser (Chrome recommended).
   
   
2. Select Analytics > Auto Tracking.
   
   
   
   
3. Use the preview pane and the PTZ controls to position the camera. 
   
   
4. Left click, hold, and drag rectangular regions to create Exclusion Areas in which objects SHOULD NOT be tracked.
   
   
5. Select the object types that should be tracked by the PTZ.
   
   
   
   
6. Select the appropriate settings in the Configuration Menu to optimize tracking performance:
   
   Camera Height: Allows camera to more accurately manage zoom level/distance from tracked object.
   Zoom: Allows camera to manage configured zoom level on tracked object.
   Maintain Object Size: Desired approximate size of tracked object in scene.
   Display Indicator: Embeds a white rectangular bounding box around currently tracked object into streaming video.
   Exclude Area: Deactivates tracking of object when it enters a configured exclusion zone.
   Auto Release: Enables and sets duration to automatically end tracking of object after configured time
   Re-Detect missing Objects: Enables and sets dwell time to attempt to re-engage a tracked objects that disappears from scene before finding a new object to track.
   Action After Auto-Tracking: Sets behavior of camera after auto-tracking has concluded.