@wuench is correct. May be easier to pair with some other sensor. But I capture all detection above xx% as image and use combination TF(Doods) + motion to filter some video recording
Just as surveillance concept I’ve learned that a combination of TF/image detection + motion work well.
Unless 24 hour monitoring biggest challenge:
1 knowing when incident occur without needing to review all video ; like person come to door and look in home but not ring/knock
2 secondary case being when you know incident occur during general time frame and need only find video showing occurance; like Amazon package taken
Motion detect and tensor flow may have false detect but this only issue if you cannot review images recordings for incident due to large qty and no labels or receive some notification
I decide on motioneye for record, review and motion video capture. motion capture is fairly accurate and simple software. It also has API that allow notification and trigger as needed
I use Doods(currently) for TF image capture. I prefer image due to fast review time and TF mostly get good photo showing Face, plate, etc. I drop captured images into motioneye folder and can review there easily.
I trigger html5 notification with image from door camera on detect. Future I plane notify when TF detect Person + Motioneye detect motion from same camera in critical area or some other method that allow me detect incident that normally would be unnoticed (person looking into side window).
My method I capture few TF incorrect detect images but can ignore easily. Also photo is small and storage cheap so best have many then miss the important one. Pairing this with motion trigger or other trigger for video record allows reduce unneeded recording and I can use mask on this trigger to reduce that as well. Doods not have mask option but others may.