What I really like about JeVois:
* The computing power of course.
* The visual attention/saliency detection has many other applications, but used in machine vision is way cooler.
* I also have great respect for Prof. Laurent Itti's work. He basically pioneered saliency detection AFAIK and understand.
What I don't like about JeVois:
* The power consumption obviously, the camera is tiny but you need a power bank and a fan to go with it, doesn't sound practical.
* The fact that it's Not opensource, no HW schematics, and using Allwinner chips almost always ends in a sad story.
* Again Allwinner, other than kernel blobs, zero-docs the company is just too aggressive towards opensource/makers (try to contact them they'll literally shoo you away
* As far as I can tell there's No way to interface to the camera, like how do I make it detect something and give me back the results ? Seems you have to install a toolchain, write in C++ and link to OpenCV, cross-compile for ARM, and copy the binary somehow to the camera, yeah no thanks. That's just too much to ask from a developer not to mention users, not to mention beginners who just want to make a robot follow a line or detect a face.
* There's a reason we didn't do an SBC camera, even though I did that for fun years ago (https://hackaday.io/project/4645-openmv-dsp
) there's just (so far) no efficient (cost-wise) way to do an SBC unless you're a really big company with tons of resources. At the current JeVois prices you can't sustain a company, by that I mean don't expect too much work done on the software post-ks if any.
* Finally, JeVois and OpenMV come from a totally different worlds, each has its place I guess but that doesn't mean we won't be doing a higher-end cam with the same level of usability as the current OpenMV we're just getting started