What is Auto Tracking?

Auto tracking is a unique technology of the PTZ camera based on the PTZ system. When a target triggers the IVS rule, the camera uses its horizontal/vertical rotation and zoom features to lock the moving target in the center of the screen. Equipped with AI algorithm, the camera can predict the direction and speed of a moving object which allows it to continuously track the target.

Auto Tracking 3.0

The latest version of Auto Tracking, Auto Tracking 3.0, incorporates advanced AI technologies that build on the 2.0 algorithm. The new version has further enhanced tracking performance across all three areas that customers prioritize.

4 Target Types

By analyzing a vast number of target images, the upgraded Auto Tracking 3.0 now provides improved tracking performance for human and vehicle targets, as well as customized firmware for tracking aircraft and ships.


Full Details

Auto Tracking 3.0 incorporates multiple technologies that enable security personnel to observe if the target engages in any risky behavior throughout the entire tracking process.
Smooth Focus
The PFA 3.0 technology for focusing achieves a seamless integration of intelligent and focusing algorithms, resulting in improved focusing output during tracking and capturing and ensuring smooth focus.
Accurate Zooming
The position adaptive algorithm utilizes target detection technology based on deep learning and 3D positioning technology to keep the target in the center of the image with the correct proportion.
Fast Moving Tracking
The speed adaptive algorithm is capable of adjusting the PTZ camera’s rotation, zoom, and image exposure to match the target’s speed, resulting in a smooth and continuous tracking process without abrupt changes. This algorithm can even track fast-moving vehicles.

Accurate Tracking

The PTZ camera is capable of tracking the entire movement of the target within the monitoring range, allowing security personnel to monitor the target’s whereabouts.
Long Tracking Distance
The newly developed DPT technology enhances the accuracy of tracking target frames, allowing for smaller targets to be tracked and improving the tracking distance. Under optimal conditions, the tracking distance can reach up to 1,500 meters.
Filtering Interference
The interference filtering algorithm utilizes the target’s motion vector characteristics to precisely estimate its moving direction, step size, and speed. This allows for continuous tracking of the target in complex scenarios that involve occlusion, interlacing, and changes in lighting conditions.

Application: PTZ camera tracking with alarm linkage

Pain Points
  1. The alarm sensor does not have any video capabilities and cannot provide detailed visual images of the location.
  2. In order to confirm the situation, security personnel must be present on-site.
  • The PTZ camera is linked to an alarm sensor, enabling it to provide visual images of the site and track targets on the scene.
  1. A single PTZ camera can be linked to multiple alarm sensors, providing flexible and additional image information for the location of the alarm.
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