Thermal Cameras Perimeter Detection: DFUSION AI features

Thermal cameras are key devices for many video surveillance systems, especially where detection at long distances is required. Industrial warehouses, logistics centres and solar farms are just a few of the many sites that have chosen to use IR detection cameras to manage perimeter security.

However, thermal CCTV devices have limitations when combined with video analytics systems. As well as being significantly more costly than visible cameras, images are blurry or of poor-quality thermal imaging can make detection difficult over long distances.

What’s more, continuous recalibration of these types of cameras can cause sudden changes in images that can cause false positives in the installation. For this reason, when designing video analytics projects, it is important to choose thermal cameras only when long-distance detection is really necessary. And in these cases, it is essential to choose a reliable, accurate, proven system that ensures the safety and security of your facility.

Not all video analytics systems are optimized for use with infrared (IR) cameras, which can impact their effectiveness in detecting and analyzing heat signatures accurately.

Enhancing camera intruder detection with DFUSION

DFUSION has fine-tuned algorithms specific to thermal CCTV cameras to achieve greater accuracy and efficiency in detection. We have also succeeded in significantly reducing false alarms. In environments protected by CCTV it is common to find animals, vegetation, vibrations in the camera, rain or wind. Without a reliable video analytics system, these types of
Stimuli can generate endless false positives for security personnel.

At DAVANTIS, we have enhanced our video analytics solutions to improve efficiency and accuracy in security installations utilizing infrared detection cameras. This includes upgrades to our artificial intelligence model in DFUSION, which now delivers better results in perimeter infrared protection.