That is a misunderstanding. The green tag is ONLY identifying motion (something that changed between 1 frame and another, not what the AI actually detected. The AI is considering each frame individually at the moment and the green tag is meaningless to it.
The green tag is 100% decided by the local Camera processing motion. The AI does not take this into account at all. AI detection is totally separate.
In your case above, The car is the trigger for the video, but more than likely it is another unmoving object being identified as a person. We can reasonably conclude it is not shadows (at least not most of the time) since many videos were not shadow related. My first guess would be one or more of the mail boxes being similar to the shape of a person at a distance. I have seen fire hydrants and house lamps and such be labeled as a person before. Possibly some other weird things like this:
All of which have a similar shape/outline to a human at a distance, or sometimes when there is over-exposure.
Don’t get me wrong. I am very supportive of the AI progressing to resolve that and come to learn the difference.
However, if the AI was actually identifying cars as people, then I would also always have cars identified as people, and I do not, and neither do the majority of people. Cars are rarely identified as people, and thus we can safely believe that it is not the cars themselves that are actually being identified as a person in these cases and that something else in your particular environment is triggering this mis-detection. There are countless potential suspects I found even just from brief inspection of the environment.
There are some things you can do to figure it out though. For example, just for testing sake (you can undo this later), try using a detection zone and blocking out a couple of specific areas that have a vague human-esque shape…anything that could appears to have a head on top of something else, or a head with arms or legs, or sitting showing just a body with a head, round or protruding in some way, whether or not a neck is apparent, even allowing for potential head differences due to hats or whatever. Block out mailboxes, stumps, anything with a roundish top, most of the tree branches, etc. Try lots of different things, maybe all together to start with and then just 1 or a few at a time. THEN see the difference. The AI has recently been updated to to respect most of the detection zones and ignore areas that are blocked out. Thus if you suddenly have fewer person detections when events trigger (from cars), you will know that something (or multiple things) in those blocked out zones are the primary offender giving you false person detections. Maybe try blocking out nearly everything except a piece of the road where it will still see a full size of a car, but not much else, so all your camera sees are the cars (make sure the mailboxes are blocked out, etc), then see that your person notifications decrease drastically because all it ever checks is the cars, and the cars aren’t what it thinks is a person…the AI is still seeing the cars, but it won’t be saying that they are persons. Then you can basically rule out the cars being the main culprit and expand your detection zone until you see you start getting false identifications again. Then you’ll know something in that area is actual culprit and that the cars are just the event trigger.
Having said all that, if you don’t want to go through all that effort, you can just wait. Either the AI will improve organically soon enough as it evolves with enough data, or by the end of the year they said they are going to release new features that will show us exactly what is being identified as what by the AI. Just today Jimmy confirmed that the AI team is working on having AI tagging in the video (just like you thought these events were showing with the Green tag, but were only tagging motion, not what the AI actually identified), AND he said they are ALSO working on having the notifications actually show us a thumbnail of the identified detection instead of showing us the entire frame. So by the end of the year we should be able to accurately see what your false identifications are, but I can nearly guarantee that the majority of them having nothing to do with the cars/vehicles…those are just the motion triggers that initiate the event.
Either way, Wyze is working on a solution to help you better identify what the real issue is.