In our tests, the DeepinView camera was able to reliably detect people at about ~11 PPF (~160' distance using a ~175' HFoV). Cars were detected at over 3x this distance, ~530', about 3-4 PPF. Those numbers are using a ~60° FOV.
Hikvision USA tech support was not helpful with this model (not blaming them, this is a common pattern we see, they are generally not trained on new / advanced products). Tech support verified what was publicly shown in the US that .81 was the latest.
This time, Hikvision management actually provided tech support. We reached out to European contacts who confirmed that .91 was better. To Hikvision's credit, the USA team gave us a direct link to the .91 firmware so we could test.
Related to that, we have updated firmware for DeepInMind. However, the USA is only selling the 'A' hardware version currently (which is what we bought) while Europe has the 'B' hardware, which is presumably better. We are trying to navigate through this.
P.S. - please Hikvision, don't ship until you have fully optimized firmware. If you still need to improve, that is what beta is for, production customers (at least in the USA) expect production-ready products.
Letting the market test products is common for Chinese manufacturers. In my experience with both dahua and hikvision virtually all first release products have a huge range of bugs and require a a lot of adjustments to the firmware to get them right. Most of the information they use comes from distributors or system integrators who have had the misfortune of buying and installing these types of first release products which really are just a “beta” style product.
The issue with the sheep goes into GDPR territory. Did anyone seek their permission? Has AI been used without the birds, cats or sheeps knowledge? What's been done with the stored data and do any of the targets form part of an ethnic minority group? I'm not convinced IPVM is taking their data protection responsibilities seriously.
Otherwise a very decent report Ethan. I'm curious though - during the two-week test just how much learning took place and did the false positives improve over time - giving the potential for further improvement?
And slightly off-tangent, given Trumps latest sabre-rattling - how do tariffs affect the Intel product element of the camera? Just curious.....
We saw no improvement over time. It’s pretrained, and may improve from firmware version to firmware version, but it did not stop alerting on branches after several days in the same scene or start ignoring dogs after seeing them in the same area. Also there is no way to mark events as valid or false, so it can’t be manually trained.