| ▲ | bryanrasmussen 6 days ago | |||||||||||||||||||||||||||||||||||||||||||||||||
(using he as gender neutral here) he didn't say he didn't want to have photos on licenses and passports, indeed it seems to me as the support is for standard ids that he would want these things as they are part of the standard id set. He said he was against computer vision identifying people, and gave as a reason that they are a computer vision engineer implying that they know what they are talking about. Although that was only implied without any technical discussion as to why the distrust. Then you say they trust a piece of paper you hand them, which they never claimed to do either, they discussed established processes, which a process may or may not be more involved than being handed a piece of paper, depending on context and security needs. >You can't be serious. I sort of feel you have difficulties with this as well. | ||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | gessha 5 days ago | parent [-] | |||||||||||||||||||||||||||||||||||||||||||||||||
> Although that was only implied without any technical discussion as to why the distrust. Good point. Computer vision systems are very fickle wrt pixel changes and from my experience trying to make them robust to changes in lighting, shadows or adversarial inputs, very hard to deploy in production systems. Essentially, you need tight control over the environment so that you can minimize out of distribution images and even then it’s good to have a supervising human. If you’re interesting in reading more about this, I recommend looking up: domain adaptation, open set recognition, adversarial machine learning. | ||||||||||||||||||||||||||||||||||||||||||||||||||
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