Forum Security Cameras Wi-Fi Cameras Too sensitive during night vision, RLC-210W

This topic contains 3 replies, has 3 voices, and was last updated by  mariahoch1344 7 months, 1 week ago.

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    I have the RLK4-210WB2 kit with an additional RLC-210W IP camera (3 total cameras). NVR and cameras have latest firmware. I have things set up to send me emails with motion detection, my problem is that I get many, many motion alerts during night vision from all cameras. I have reduced sensitivity to ”50″ during night time and ”15″ during the day. I get a few motion alerts during the day, but usually for legitimate reasons such as a bee in front of the camera or true motion detected. However, I get dozens of email alerts each night despite the 50 setting, most of these are for no motion that I can detect in the images or recorded video.

    On ”Advanced Settings” my Anti-Flicker=off, Backlight=Off, 3D-NR=Off, and everything else is Auto.

    Any suggestions?

    • This topic was modified 3 years, 2 months ago by  Flora Luo.


    Hello Doellg,
    Sorry for the trouble caused.
    The working principles of the motion detect and sensitivity is described as below:
    1. level 1: It will trigger motion when there is 0.5% of the video area with motion object.
    2. level 50: It will trigger motion when there is 10% of the video area with motion object.
    During the night, since the background is all black and very quiet, the camera may be easily triggered by mistake, even noise or light changing may trigger MD.
    Except setting the sensitivity to 50, you may give a try to reduce the area that is sensitive to motion, clear the area you do not necessarily need motion detect.



    Thanx for answering! I had the same



    This works the same way as with the banking system. Already eating, there are some algorithms that detect money laundering attempts, but 90 percent of them are false. It's an interesting topic about AI and here you can generate a topic for different types of papers. Therefore, we need another algorithm for filtering errors.

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