Troubleshooting Guide for Fermax Vehicle Detection Failures
The AI-powered vehicle detection in your Fermax system is a key feature for relevant and specific security alerts. When it fails to perform accurately, it can lead to missed events or an influx of false notifications. This professional guide will help you diagnose and resolve the common issues that lead to vehicle detection failure.
## The Importance of Correct Camera Installation
The performance of any AI detection algorithm is heavily dependent on the quality of the video it analyses. The most common cause of poor detection accuracy is suboptimal camera placement.
- Optimal Mounting Height: Install the camera at the height recommended in your Fermax product manual. A camera that is mounted too low may not see the entire vehicle, while one mounted too high may see only the roof, making identification difficult.
- Correct Viewing Angle: The camera should not be positioned at an extreme angle to the target area. An angle that is too steep or too shallow can distort the shape of a vehicle, confusing the AI algorithm. A clear, direct view of the area where cars will be is essential.
- Unobstructed View: Ensure there are no obstructions like tree branches, walls, or pillars blocking the camera's line of sight to the detection area.
## Configuring Detection Settings for High Accuracy
Once the camera is physically installed correctly, you must fine-tune the software settings within the Fermax application.
### Defining the Detection Zone
- Be Precise: When drawing your motion or vehicle detection zone, be as precise as possible. The zone should cover the exact areas where you expect to see vehicles, such as your driveway or the parking space in front of your home.
- Exclude Public Areas: Do not extend the detection zone onto public roads or footpaths if you can avoid it. While the AI is designed to differentiate between people and vehicles, high traffic in the background can sometimes lead to errors or missed events within your zone.
- Avoid 'Noisy' Backgrounds: Exclude areas with constant, irrelevant motion from your zone. This includes flags, washing lines, and dense foliage that moves with the wind.
### Adjusting Sensitivity and Lighting
- Sensitivity Levels: If you are missing genuine vehicle events, the detection sensitivity may be too low. Conversely, if you are getting false alerts for other objects, the sensitivity may be too high. Adjust this setting one level at a time and observe the results over a day or two.
- Night Vision Performance: Vehicle detection can be more challenging at night. Ensure the area is adequately lit. The camera's built-in infrared (IR) illuminators should provide a clear view. If the area is too large, consider installing an additional external security light to improve visibility for the camera. Heavy rain or dense fog can also naturally degrade detection performance.
- Firmware Updates: Always ensure your Fermax system is running the latest firmware. Fermax regularly releases updates that include improvements to their AI detection algorithms, which can directly enhance vehicle detection accuracy.
By systematically reviewing your camera's physical installation and its software configuration, you can significantly improve the reliability of the vehicle detection feature.