They said their analytics are able to detect a weapon within 400ms of being seen on camera, at ~40'/12m and ~10PPF.
So foot size gun would be 10x10 pixels and it is much stronger claim in comparison to ZeroEyes ZeroEyes Gun Detection Startup claimed more modest number: "Our current data shows we need roughly 17PPF/55PPM".
They noted their behavior/violence detection is looking for behavior patterns but is not using pose detection, claiming that the GPU resources are significantly higher for pose.
Would be nice to get more info on behaviour patterns analytics. This is very cool by itself ! Being cheaper (resource wise) then pose estimator makes it especially interesting.
Scylla's valuation of $1B in 4-5 years on $100M in revenue is right there in crazy-land with AnyVision's $1B revenue pipe dream by 2022. These ISV companies have grossly overestimated the revenue potential video analytics as an ancillary "feature" of what will become table stakes for the camera companies in 5 years.
as an ancillary "feature" of what will become table stakes for the camera companies in 5 years
I generally agree with this statement. To play devil's advocate, though, look at what is happening in China - analytic focused startups selling large AI systems directly to governments, generating already hundred plus million revenue per year (e.g., Megvii Financials and Growth Examined).
We give for standard assumption that all the start-ups always form with the goal to grow and to capitalize their investments by selling their products/service/competence.. The question is, which is the product? Claims can be a product themselves in a certain sense, don’t they?... I mean I actually see more and more often, more financial speculations than industrial projects... Not necessarily meaning about this case, of course..
And of course, I am writing just driven by envy...🙄😅