On the contrary, 10 years in, computer vision is still struggling to find any meaningfully large market fits outside of self-driving. There are a few interesting applications, but they have limited impact and a low market cap.
I think most people would disagree with this description.
Surveillance alone seems like a much larger marketcap than self-driving cars. And that’s just one niche out of many; what do you think all those ASICs being put in smartphones are for?
The main issue with surveillance is the same AI vs automation issue.
Once the population is fine with being tracked 24⁄7 and you have the infrastructure for it:
The need to do so diminishes
You can just make it illegal to not carry a wifi-enabled ID (there’s the issue of having someone elses IDs, but so is there the issue of face-covering, and finding incentives to force people into else’scarrying only your own ID is easy)
I hadn’t heard of people widely using automated surveillance. Is that a thing now? I mean, I’d heard about some governments deploying it here and there, but my impression was that it was mostly pretty gimmicky and narrow.
Same with ASICs in smartphones. Sure, it’s a gimmick that might sell more phones, but I don’t see a killer app yet.
To be clear, I totally find it plausible that these will grow into huge things, but “struggling to find any meaningfully large market fits outside of self-driving” sounds like a pretty reasonable description of the current state of things. I think you pay more attention to these developments than I do, though, so please do let me know if I’m wrong.
I think I was wrong in writing this, and I corrected it on my blog.
What I mean to say was closer to “human mimicking CV” (i.e. classification, segmentation, tracking and other images → few numbers/concepts tasks). There’s certainly a case to be made that image-as-input and/or output techniques as a whole have very large potential, even if not actualized
I think most people would disagree with this description.
I’m surprised. Where do you think CV has had high impact/high market cap?
Surveillance alone seems like a much larger marketcap than self-driving cars. And that’s just one niche out of many; what do you think all those ASICs being put in smartphones are for?
The main issue with surveillance is the same AI vs automation issue.
Once the population is fine with being tracked 24⁄7 and you have the infrastructure for it:
The need to do so diminishes
You can just make it illegal to not carry a wifi-enabled ID (there’s the issue of having someone elses IDs, but so is there the issue of face-covering, and finding incentives to force people into else’scarrying only your own ID is easy)
I hadn’t heard of people widely using automated surveillance. Is that a thing now? I mean, I’d heard about some governments deploying it here and there, but my impression was that it was mostly pretty gimmicky and narrow.
Same with ASICs in smartphones. Sure, it’s a gimmick that might sell more phones, but I don’t see a killer app yet.
To be clear, I totally find it plausible that these will grow into huge things, but “struggling to find any meaningfully large market fits outside of self-driving” sounds like a pretty reasonable description of the current state of things. I think you pay more attention to these developments than I do, though, so please do let me know if I’m wrong.
I think I was wrong in writing this, and I corrected it on my blog.
What I mean to say was closer to “human mimicking CV” (i.e. classification, segmentation, tracking and other images → few numbers/concepts tasks). There’s certainly a case to be made that image-as-input and/or output techniques as a whole have very large potential, even if not actualized