Human Detection false positives on the C340
Hi,
My cameras often give me false positives (alarms) with human detection. I have enabled Active Defense - Human Detection, Camera Tempering. In the Human Detection section, I have set a detection area, The sensitivity is set to 50. These are the scenarios under which I get false alarms. These are when I get false Human detection alarms.
- Fibers/Spider web threads flutter in front of the camera in a breeze. This is not a huge spider web...just a single thread. It could also be just a thin twig.
- When a light is switched off and on again
- When a small insect crawls/flies across the lens
- When it is raining and leaves on a tree move
All of the above happen independently and in the night. This is also because I only arm the cameras at night.
Isn't the whole idea of human detection to have something that resembles a human to cause an alarm?
Another question:
Does Intrusion detection with Human classification use the same model/algorithm to identify a human? Is one superior to the other?
To use intrusion detection instead of human detection in the above scenarios, I need to identify a practical intrusion time and percentage. Since these insects are close to the lens they may take up about 20-30% of the frame at a given time. Humans at a distance will also occupy about the same frame percentage. Regardless shouldn't the human form be distinctly different from the above?
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Hi @vin32
Thanks for posting in our business forum.
Do you have other types of detection enabled?
Are you sure every notification/alarm is classified as Human Detection? Maybe they are Motion Detection. Not really from Human Detection?
The Human Detection would detect things with things with at least four limbs and a head.
An object similar to a human with four limbs would be considered a human and it may trigger the detection.
If necessary, please post some pictures of the notifications in your app.
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@Clive_A
My answers inline:
Clive_A wrote
Hi @vin32
Thanks for posting in our business forum.
Do you have other types of detection enabled?
>Human Detection and Camera Camera Tampering only.
Are you sure every notification/alarm is classified as Human Detection? Maybe they are Motion Detection. Not really from Human Detection?
>The notification clearly says Human Detected. I have attached a picture from my app.
The Human Detection would detect things with things with at least four limbs and a head.
An object similar to a human with four limbs would be considered a human and it may trigger the detection.
>tried to attach a video of the event but couldn't. the video has pretty much the same image as above except you will see the string/fiber swaying a little and a tiny insect (almost a spec) flying past. Nothing close to a human.
I have seen this happen with other cameras in the home routinely. It is particularly bad with detection in the rain. I have tried to draw boundaries for detection around trees but that hasn't helped either.
If necessary, please post some pictures of the notifications in your app.
I would also like an answer to my other question (attached below for reference)
>Does Intrusion detection with Human classification use the same model/algorithm to identify a human? Is one superior to the other?
To use intrusion detection instead of human detection in the above scenarios, I need to identify a practical intrusion time and percentage. Since these insects are close to the lens they may take up about 20-30% of the frame at a given time. Humans at a distance will also occupy about the same frame percentage. Regardless shouldn't the human form be distinctly different from the above?
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Hi @vin32
Thanks for posting in our business forum.
vin32 wrote
@Clive_A
My answers inline:Clive_A wrote
Hi @vin32
Thanks for posting in our business forum.
Do you have other types of detection enabled?
>Human Detection and Camera Camera Tampering only.
Are you sure every notification/alarm is classified as Human Detection? Maybe they are Motion Detection. Not really from Human Detection?
>The notification clearly says Human Detected. I have attached a picture from my app.
The Human Detection would detect things with things with at least four limbs and a head.
An object similar to a human with four limbs would be considered a human and it may trigger the detection.
>tried to attach a video of the event but couldn't. the video has pretty much the same image as above except you will see the string/fiber swaying a little and a tiny insect (almost a spec) flying past. Nothing close to a human.
I have seen this happen with other cameras in the home routinely. It is particularly bad with detection in the rain. I have tried to draw boundaries for detection around trees but that hasn't helped either.
If necessary, please post some pictures of the notifications in your app.
I would also like an answer to my other question (attached below for reference)
>Does Intrusion detection with Human classification use the same model/algorithm to identify a human? Is one superior to the other?To use intrusion detection instead of human detection in the above scenarios, I need to identify a practical intrusion time and percentage. Since these insects are close to the lens they may take up about 20-30% of the frame at a given time. Humans at a distance will also occupy about the same frame percentage. Regardless shouldn't the human form be distinctly different from the above?
I need a link to the video. You may upload it to the public video platform.
About the questions, no.
If your model is C340 hardware V2, we may get a beta for you with the optimization of the detection mechanism.
Will send you an email and please reply to the email with the video link.
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Hi @vin32
Thank you so much for taking the time to post the issue on TP-Link community!
To better assist you, I've created a support ticket via your registered email address, and escalated it to our support engineer to look into the issue. The ticket ID is TKID240768356, please check your email box and ensure the support email is well received. Thanks!
Once the issue is addressed or resolved, welcome to update this topic thread with your solution to help others who may encounter the same issue as you did.
Many thanks for your great cooperation and patience!
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