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Who is SharpAI? This post is very much giving off the vibe of being a personal project but judging from their website[0] it's a Chinese company that's behind it
by codethief 6y ago
Who is SharpAI? This post is very much giving off the vibe of being a personal project but judging from their website[0] it's a Chinese company that's behind it.
Besides, the claim on their help center page that
> SharpAI DevKit is the world's first video camera that can run machine learning models and perform inference on devices
is not true at all. There are countless other companies offering similar products. (Which I'm not going to spell out here because I don't think technology as dangerous as surveillance AI deserves advertizing.)
[0] https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fsharpai.github.io%2F https://translate.google.com/translate?hl=en&sl=auto&tl=en&u...
- rexreed 6y agoOf course the OP is shilling SharpAI. Look at all of the OP contributions on HN.
- Fnoord 6y agoNice default credentials. I can recommend Nextcloud app Face Recognition [1] for the purpose of a FOSS face recognition. You can run that on a Raspberry Pi or whatever. You can off-load the face recognition to a different computer, if you desire. [1] https://github.com/matiasdelellis/facerecognition https://github.com/matiasdelellis/facerecognition
- bko 6y agoNot relating to this project, but there's no reason you can't do offline facial recognition. I've blogged about doing offline object detection on raspberry pi and facial recognition is much simpler [0]. I've done it using the face_recognition [1] python package although I never released anything and it works fine. Only catch is you can only process a few frames a second, but unless you're trying to capture faces in fast moving environment, this should be fine. I will note that aws facial recognition is far superior to the python package. If you need accuracy I would suggest an ensemble method where you use an inferior model (python package) to some level of confidence then offload it to the superior model that's off device for the final call and saving down the vectors. [0] https://medium.com/ml-everything/offline-object-detection-and-tracking-on-a-raspberry-pi-fddb3bde130 https://medium.com/ml-everything/offline-object-detection-an... [1] https://github.com/ageitgey/face_recognition https://github.com/ageitgey/face_recognition
- rexreed 6y agoOffline facial recognition is the way Apple does their face ID unlock mechanism. If it required an always on network connection and cloud inference the system would fail miserably.