Friedland Person Detection Wrong? How to Improve Accuracy
One of the best features of a modern security camera is its ability to distinguish between general motion and the specific presence of a person. However, when this feature doesn't work correctly, it can lead to a flood of false alerts or, even worse, missed events. If your Friedland camera is struggling with person detection, this guide will help you fine-tune its settings for much greater accuracy.
Why Your Camera Gets It Wrong
Artificial intelligence (AI) in cameras is powerful, but it's not perfect. Inaccurate person detection is often caused by environmental factors or incorrect settings, such as:
- Poor Camera Placement: A camera that is too high, too low, or angled improperly may not get a clear view of a person's shape.
- Sensitivity Levels: If the motion sensitivity is set too high, the camera may trigger on small movements like pets, swaying trees, or even shadows.
- Lighting Conditions: Strong backlighting during the day or car headlights at night can confuse the camera's image analysis.
- Lack of Activity Zones: Monitoring a wide, busy area without specifying points of interest will inevitably lead to unwanted notifications.
- Outdated Firmware: The camera's software may have bugs or less-refined algorithms that have been improved in later versions.
How to Calibrate and Improve Friedland Person Detection
Follow these steps to systematically reduce false alerts and improve accuracy.
1. Optimise Camera Positioning
The ideal placement for person detection is typically 7-10 feet (2-3 metres) off the ground, angled slightly downwards. This provides a clear view of people as they approach, without being so high that everyone looks like a small dot. Avoid pointing the camera directly at busy roads or public footpaths if possible.
2. Adjust Motion Sensitivity
This is your most powerful tool for reducing false alerts.
- Open the Friedland app and navigate to your camera's Settings.
- Find the "Motion Detection" or "Smart Detection" section.
- You should see a sensitivity setting, often a slider or a choice of "Low," "Medium," and "High."
- If you are getting too many false alerts, lower the sensitivity one level at a time. Test the camera after each change to see if it still reliably detects a person walking into view.
3. Set Up Activity Zones
Activity zones are essential for telling your camera what to care about.
- In the detection settings, look for an "Activity Zone" or "Motion Zone" option.
- This will allow you to draw one or more boxes over the camera's live view.
- Draw the zones to cover only the areas you are interested in, such as your driveway, a garden gate, or the path to your front door. Exclude any areas that have constant, irrelevant motion, like rustling bushes or a busy street.
4. Check for Firmware Updates
Manufacturers constantly refine their detection algorithms. Ensure your camera is running the latest software.
- In the camera's settings within the app, look for a "Device Info" or "Firmware Update" section.
- If an update is available, follow the instructions to install it.
5. Improve Lighting
For night-time detection, ensure the area is adequately lit. While infrared (IR) night vision is good, performance is always better with some ambient light. A simple motion-activated security light can work in tandem with your camera, providing enough light for the AI to make a more accurate identification.
By carefully adjusting these settings, you can dramatically improve the reliability of your Friedland camera's person detection, ensuring you only get the alerts that truly matter.