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has the following features.

Feature 1:	High detection sensitivity  (capable of detecting moving objects that are 4 pixels or larger in size)
	※ High definition images require 9 pixels or more
	Advantages:	a) Even small movements will not be overlooked.
		b) The effective distance of the camera monitoring is increased, making it possible to reduce the number of cameras.
Feature 2:	Fast detection speed (detection speed within 1 second)
	Advantages:	Immediate reporting possible
	Note:	There are exceptions depending on the monitoring conditions.

【 A state with many false alarms before applying filters 】

In this video, you will repeatedly watch videos showing the sensor reacting in green and the normal monitoring status.

Both the characteristics of "high detection sensitivity" and "fast detection speed" have a tendency to produce false alarms, and are generally considered disadvantages, but has a mechanism to eliminate false alarms.

 

Feature 3:	VNR (Video Noise Reduction: a function to eliminate false alarms)
	VNR eliminates false alarms that occur outdoors (due to external light disturbances such as swaying leaves, headlight beams, and light reflected by puddles), providing higher monitoring accuracy.

【 Detection state after applying VNR (filter) and removing false alarms 】

In this video, the swaying of the tree branches in the upper left and the swaying response caused by waves on the water surface are eliminated by the VNR (filter).

 

	VNR is;
		This filtering technology uses image processing technology that has been developed over many years to analyze the characteristics of the wide variety of image changes that can cause alarms from various perspectives and eliminates false alarms as much as possible.

Additionally, as a secondary filter, we offer an optional, even more powerful AI-based false alarm removal function.

 

Feature 4:	Eliminate misinformation using AI (Silhouette Recognition System)
	also offers optional AI functionality to further improve detection accuracy. By having the AI learn the events specific to the angle of view that the VNR could not handle, it provides a more accurate surveillance function. As the VNR acts as a first-order filter and thins out false alarms that occur, it is possible to reduce the system load on AI, thereby providing higher and more stable system performance.

 

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In order to deal with a variety of phenomena that cannot be covered by existing filters, we have developed filters tailored to each environment and expanded the functionality of VNR. In order to continue improving the performance and quality of , we would like to continue expanding the functions of the VNR and image sensor, including customization. Please contact us for more details.