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If you are managing a camera installation in Nahda and want to ensure the device at your entrance accurately classifies humans and vehicles despite changing lighting conditions, you must carefully define your configuration requirements. This guide addresses the technical parameters necessary for reliable object detection without providing guarantees or specific settings for your unique hardware.
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Optimizing Object Detection Performance
- Evaluate your camera lens focal range, as selecting a higher focal length provides the capability to extend the detection distance for objects moving through the Nahda entrance area.
- Verify that the camera roll angle is positioned at nearly zero degrees, ensuring the captured image remains perfectly level with the horizon to maintain standard perspective.
- Confirm that your hardware supports AXIS Object Analytics, which is a preinstalled multifeatured video analytics suite available on compatible cameras at no additional cost.
Finalizing Data Analysis Readiness
Before finalizing your setup, ensure you have the ability to visualize the object counting data produced by AXIS Object Analytics in a digestible format. This prerequisite is essential for measuring and analyzing data trends over time, which facilitates informed, data-driven decision-making for your site.
Frequently asked questions
Does the mounting angle affect object classification?
You should avoid mounting the camera in a position that looks directly down from above, as this specific orientation can create significant difficulties for the application when attempting to classify objects accurately.
How can I improve detection when contrast is low?
Reliable detection requires objects to stand out clearly from the background. Environmental factors like fog, direct glare into the lens, or noisy images reduce contrast, which can be mitigated by increasing scene illumination or adjusting image settings.
Do weather conditions impact the system performance?
External weather conditions such as heavy rain or snow are known to impact the overall detection distance and the general accuracy of the analytics system.
