Is Your Kuna Smart Security Missing Vehicles?
One of the most powerful features of a Kuna smart light is its ability to use artificial intelligence to distinguish between different types of motion. Vehicle detection is crucial for monitoring driveways and pathways, but when it fails, you might miss important events or receive incorrect notifications. If your Kuna device isn't alerting you to cars arriving or leaving, this guide will help you diagnose and solve the problem.
We'll explore the common reasons for failed vehicle detection, from simple setup issues to more advanced configuration tweaks, ensuring your smart security is working as intended.
## Essential First Checks for Vehicle Detection
Before adjusting complex settings, let's ensure the basics are covered. A simple oversight in the setup is often the cause of detection failures.
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Verify Your Kuna Premium Plan: Advanced AI features, including person and vehicle detection, are exclusive to Kuna Premium subscription plans. If your subscription has expired or you are on a legacy plan, the feature will not work.
- Open the Kuna app and navigate to your Account Settings.
- Check your subscription status to confirm that it's active and includes these detection features.
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Enable Smart Detection in the App: You need to explicitly tell the camera to look for vehicles.
- In the Kuna app, select the camera you want to configure.
- Go to its Settings (usually a cog icon).
- Find the Motion Detection or Smart Detection section.
- Ensure that the toggle for Vehicle Detection is turned on.
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Clean the Camera Lens: A surprisingly common issue is a dirty lens. Dust, pollen, water spots, or cobwebs can obstruct the camera's view, preventing the AI from correctly identifying objects. Gently wipe the lens with a soft, microfibre cloth.
## Optimising Camera Placement and Settings
The position and configuration of your Kuna device play a vital role in its detection accuracy.
### Review Camera Angle and Field of View
For the AI to work effectively, it needs to see the vehicle clearly.
- Unobstructed View: Make sure there are no tree branches, decorations, or other objects blocking the camera's line of sight to the area where vehicles pass.
- Optimal Angle: The camera should be angled slightly downwards, looking at the vehicle's path, not straight out at the horizon. An angle that is too high or too low can distort the shape of the vehicle, making it harder for the AI to recognise.
- Distance: Vehicle detection works best when cars are within 50 feet (approx. 15 metres) of the camera. If they are too far away, they may not be identified correctly.
### Adjust Motion Sensitivity and Zones
- Motion Sensitivity: In your camera's settings, you may find a motion sensitivity slider. If it's set too low, it might not trigger a recording event for a passing vehicle. Try increasing it slightly.
- Detection Zones: If your Kuna model supports custom motion zones, ensure the zone is drawn to cover the entire area where you expect to see vehicles, such as your driveway or the street in front of your house.
## Advanced Troubleshooting Steps
If you have confirmed your settings and placement are correct, these final steps can help.
- Reboot Your Kuna Device: Like any smart device, a reboot can resolve temporary software glitches. You can do this by turning the light switch that powers the Kuna device off, waiting for 60 seconds, and then turning it back on.
- Check for Firmware Updates: Kuna periodically releases firmware updates to improve performance and features. The Kuna app should notify you if an update is available. Ensure your device is running the latest firmware.
By systematically working through these checks, from your subscription plan to the physical placement of your device, you can significantly improve the reliability of Kuna's vehicle detection and ensure you never miss an important arrival.