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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

  • Third-party integration

    This section investigates testing the options to integrate SENSR with third-party systems such as a Video Management System (VMS). It can often be very useful for users to aggregate all the alerts for a monitored space in a single portal regardless of whether they originate from a camera or LiDAR-based system.

    Typically, VMS solutions (such as Genetec or Milestone) provide APIs to capture events from outside systems to their event log so that security agents can monitor events across thousands of cameras/sensors. To enable integration, SENSR provides an SDK that can be used to connect with any system of choice.

    Results

    We tested the Python SDK from Seoul Robotics during this validation. A simple example of the syntax required to output events to the console looks like: 

    python3 console_output.py -- address ip_address -- example_type data

    This exports event data as objects trigger alerts in the LiDAR scene. A sample view of this is below:

    Figure 9. Third party integration example
    Third party integration example

    Findings

    • The SDK option is very useful to integrate with any sort of application.
    • The end user is responsible for writing any code necessary to push the events to a third-party system.