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Today's Topics:
1. Re: Reliable system (prismb...@gmail.com)
----------------------------------------------------------------------
Message: 1
Date: Sun, 13 Sep 2020 13:07:58 -0700
From: prismb...@gmail.com
To: Motion discussion list <motion-user@lists.sourceforge.net>
Subject: Re: [Motion-user] Reliable system
Message-ID:
<CAGd+P+aaGrEUajwbCEhnfboPkXeKMVi=kqp8z16qr3e9hwd...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
For person identification I've been using Deepstack AI running in docker.
Average TAT's have been from 1.5 seconds to 15 seconds depending on what
image I use. I prefer cpu-x3-beta because it does a better job at person
identification but it is slower than the "latest" image. The cpu-x3-beta
image normally takes around 4~6 seconds, but can take longer...
Here is the link to the images:
https://hub.docker.com/r/deepquestai/deepstack/tags
On Sun, Sep 13, 2020 at 12:51 PM Bau Dev <baudev.cont...@gmail.com> wrote:
> Hello to all,
>
> If I allow myself to write here it is to have your ideas and feedback on
> motion. I've been using it for several months now but I can't get the
> desired result.
> I have installed my alarm system (outdoor cameras, indoor cameras, 433Mhz
> infrared detectors, siren, backup power supply, GSM shield and so on).
> I would like to have the most functional system possible. It is not
> conceivable to trigger the siren several times during the night for false
> positives ! But on the other hand, this siren must be triggered
> automatically during an intrusion. I can't keep my phone on all night to
> check what's going on.
>
> Today, in this alarm system I use among others a raspberry pi 3b+ with
> motion (for the 4 outdoor cameras). However I have some false positives
> that I can't avoid: mosquitoes that spend the night very close, water drops
> at night when it rains etc.. At night when it rains I can reach up to 200
> false positives. During the day, between 0 and 2 false positives. With so
> little reliability, I even managed to turn off the outside cameras
> finally...
> Here are the images of some false detections.
>
> [image: photo5915567089844860174.jpg]
> [image: photo5918052003303502838.jpg]
> [image: photo5918052003303502844.jpg]
> [image: photo5829970509054456810.jpg]
> [image: photo5832222308868142323.jpg]
>
> By varying the different parameters I can't get a correct system. I set a
> reasonable threshold (low enough to detect a human movement and high enough
> not to constantly have false positives). But a spider passing in front of
> the camera is finally impossible not to detect with the threshold (even
> with the threshold_maximum) ...
> I also activated the smart filter. It allows to avoid the movements of
> grasses, trees and so on.
> I think it's mandatory to add a human shape detection algorithm, don't
> you?
> If so, do you know any that have a reasonable execution time? Indeed, all
> the ones I tried take more than 30 sec to identify a human on a single
> image! (Obvious given the CPU of a raspberry). And does a USB dungle really
> worth it?
>
> On the other hand, taking a step back, I find that very few home security
> companies offer outdoor cameras. Or they are cameras you have to install
> yourself and therefore the feedback seems disappointing. Maybe that's a
> sign? Maybe we should only consider filming with outdoor cameras in order
> to have different angles in case of indoor intrusions (identified by
> infrared sensors which are more reliable)?
>
> What do you think about this?
> How do you do it?
>
> Thank you in advance for your ideas/feedback.
>
> Baudev
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