Fine-Tuning Your Hanwha Vision Camera for Accurate Person Detection
Your Hanwha Vision (formerly Hanwha Techwin/Wisenet) camera is equipped with powerful, AI-driven video analytics. The person detection feature is designed to intelligently filter out irrelevant motion, reducing false alarms and ensuring you are only alerted to what matters. However, if you're experiencing poor performance—either missing genuine events or being flooded with false alerts—it means your analytics need to be calibrated for their specific environment.
Getting person detection wrong can be frustrating. False alarms lead to alarm fatigue, where real alerts may be ignored, while missed detections create a false sense of security. This professional guide will walk you through the key steps to troubleshoot and optimise your Hanwha camera's AI person detection for maximum accuracy.
Understanding the Core Principles of AI Detection
AI analytics are not a simple "on/off" feature. Their performance is highly dependent on several factors:
- Camera Placement: The angle, height, and field of view are critical.
- Scene Complexity: Busy backgrounds, changing shadows, and weather can all be challenging.
- Object Characteristics: The size, speed, and path of a person affect detection.
- Configuration: The settings you choose in the camera's web interface directly control the AI's behaviour.
Steps to Optimise Hanwha Person Detection Accuracy
Access your Hanwha camera's web interface from a browser to perform these adjustments. The exact menu names may vary slightly by model and firmware version.
1. Optimise Camera Installation and View
Before you touch any software settings, ensure the physical installation is optimal.
- Correct Height and Angle: Install the camera according to Hanwha's recommendations, typically at a height of 3-5 metres with a slight downward angle. Avoid a "top-down" view where the camera looks straight down, as this makes it difficult for the AI to recognise the human form.
- Stable Mounting: Ensure the camera is mounted securely. Vibration from wind or traffic can degrade analytics performance.
- Clear Field of View: The detection area should be free of obstructions like tree branches that move in the wind. These can cause both false alarms and obscure real events.
- Adequate Lighting: While Hanwha cameras have excellent low-light performance, AI works best with good, even illumination. Avoid scenes with deep shadows or harsh glare.
2. Configure the Analytics Rule Correctly
This is where you will do most of your fine-tuning.
- Use Inclusion Zones: Instead of analysing the entire scene, draw a precise "inclusion zone" around the specific area you want to monitor (e.g., a walkway, a doorway). This tells the AI to ignore irrelevant motion elsewhere, like cars on a distant road.
- Use Exclusion Zones: If there's a problematic area within your main zone (like a bush that sways constantly), draw a smaller "exclusion zone" over it.
- Set Object Size Parameters: This is a crucial step. Configure the minimum and maximum size for a person. Draw boxes on the screen that represent the smallest and largest a person will appear within your detection zone. Setting this correctly helps the camera ignore animals, litter, and other irrelevant objects.
- Adjust Sensitivity and Thresholds:
- Sensitivity: This determines how much an object needs to look like a person to trigger an alert. Start with the default setting. If you are getting false alarms, lower the sensitivity slightly. If you are missing detections, increase it.
- Threshold: This often relates to how long an object must be in the scene before an alert is triggered. A slightly longer threshold can help eliminate fleeting false alarms from things like car headlights.
3. Keep Your Firmware Updated
Hanwha Vision continuously improves its AI algorithms. New firmware versions often contain significant accuracy enhancements.
- Check for Updates: Regularly visit the Hanwha Vision website and check the support page for your camera model for the latest firmware.
- Apply Updates: Follow the instructions carefully to update your camera. This single step can often provide a noticeable improvement in detection performance.
4. Test and Refine
AI analytics are not "set it and forget it."
- Walk Test: After making adjustments, perform a walk test. Have someone walk through the detection zone at different distances and speeds to ensure they are being detected correctly.
- Review Events: Monitor the alarm logs. When you get a false alarm, look at the event video to understand what caused it. Was it a shadow? Headlights? An animal? Use that information to further refine your zones and sensitivity settings.
By taking a systematic approach to camera placement and configuration, you can dramatically improve the accuracy of your Hanwha Vision camera's person detection, creating a smarter and more reliable security solution.