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Computer Vision 3D Flow and Function AI with LiDAR
Introduction Solution overview Partner overview Architecture overview Sizing and scaling Use case validation
Use case validation
Smart Places
Multiple LiDAR sensors at an intersection Object detection LiDAR images and maps integration
Security
Create events for intrusion detection Capture person height and location Showcase tag and follow capabilities Third-party integration
Conclusions References

Security

Home > Workload Solutions > Computer Vision > White Papers > Computer Vision 3D Flow and Function AI with LiDAR > Security

Security

  • Showcase tag and follow capabilities

    This test shows how an object can be tracked across multiple LiDAR sensors.

    Results

    The setup involved 2 LiDAR sensors that partially covered an indoor area.

    Figure 7. Tag and follow calibration example
    Tag and follow calibration example

    In this scene LiDAR 01 is covering the north portion of the room and LiDAR 02 is covering the south portion of the room.

    We then set the project to runtime mode where people tracking is enabled for the scene.

    Figure 8. Tag and follow tracking example
    Tag and follow tracking example

    The diagram above shows that a person was identified on the left side by Lidar 01 and assigned an ID of 22. That person traveled to the south side of the room and was detected by Lidar 02, as shown on the right side, with the same ID since it is the same person.

    Findings

    • The Tag and Follow feature works well and is very important in multi-LiDAR setups.
    • Tag and Follow was also shown to work for cars in the 4 LiDAR intersection example from the previous tests.