Topics included in this article:
- Overview
- Initial AI Expectations
- Camera Setup for Optimal AI Accuracy
- Placing Activity Regions
- Human Movement
- Facial Recognition
- Vehicle Movement
- License Plate Recognition
- Helpful Links
- Contact Support or Sales
Overview
Rhombus cameras use artificial intelligence to enhance security monitoring by automatically detecting and tracking key objects in view. The AI can identify humans, faces, vehicles, and license plates in real time. All processing is securely handled through Rhombus' cloud infrastructure, enabling tracking, streamlined searches, and actionable insights for users through the Rhombus Console.
Different event types must be added to the alert policy assigned to the camera in order to populate events.
Initial AI Expectations
Due to a variety of environments and applications for Rhombus cameras, the AI thresholds may need to be adjusted to fine-tune event capture. For more information, please review the AI Confidence Settings article.
Camera Setup for Optimal AI Accuracy
Specific features will have more in-depth setup instructions. For more information, please review the article for the type of AI feature you are working with.
Camera Positioning
Lighting, camera angles, distances, and camera positioning all impact the success of capturing AI events.
- When mounting a camera, try to eliminate all unused space from the camera view.
- Ensure all cameras are mounted at the appropriate distance for the camera model and AI detection type you are trying to capture. Follow the Optics and Object Distances for Analytics guide for additional information.
- Ensure there is sufficient lighting while also avoiding backlighting for features like facial recognition and license plate recognition.
Placing Activity Regions
For camera views that have high traffic, like in a public space, using activity regions can help reduce the number of events that are created.
Activity regions can be used in two ways:
- Set an area of interest where you want to capture events. Ex.) The entrance to a building.
- Set up regions where you want to ignore event capture. Ex.) An area that is predominantly foliage or a public road.
To learn more, visit the Configuring Activity Regions article.
Human Movement
Facial Recognition
Vehicle Movement
It is recommended to have the camera positioned so the full car enters the field of view. If only a portion of the car enters the field of view, vehicle movement detection may not trigger. How fast a vehicle moves through the frames also impacts whether the AI can process. Ensuring there is sufficient time of the vehicle moving through the field of view will help optimize the accuracy of detections.
License Plate Recognition
Helpful Links
- Managing Facial Recognition
- Managing License Plate Recognition (LPR)
- Artificial Intelligence on the R360
- AI Confidence Thresholds
- Configuring Activity Regions
- Optics and Object Distances for Analytics
Contact Support or Sales
Have more questions? Contact Rhombus Support at +1 (877) 746-6797 option 2 or support@rhombus.com.
Interested in learning more? Contact Rhombus Sales at +1 (877) 746-6797 option 1 or sales@rhombus.com.
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