uwho

Unfortunately, that assumes that "you" have that choice. Individually, I'm sure you can rip out, mutilate, deface, damage or what have you to devices that report fine-grained time-series data. But the moment you go anywhere else, you're being recorded, watched, monitored, measured, and recorded. It's already being done, and it's way past time that we do have that discussion. Because without string and stark dialogue, we'll end up with "We're not doing anything wrong, so why should we care?" kind of responses. Or worse yet, people won't understand what something like accurate TS data from power input can lead to.[0] And as an addition on the above comment, I also wrote a CPU-bound facial recognition app. I wrote it initially for a convention that we have for our hackerspace every year... But it took me a week to do in my spare time, using

Not at all. I already wrote a system that can take new facial inputs, classify you as "new user", and put your data in a database. All you need do is go up to the door. I can easily view the timecode and enter your details (name, phone#, email) at a later date. source: https://github.com/jwcrawley/uWho news article about it: http://hackaday.com/2015/03/04/face-recognition-for-your-nex...

The argument isn't that you use OpenCV: OpenFace also uses OpenCV. However, I think you should target and present your program as being a program that uses face recognition, not as a face recognition program. You are using and not crediting here that your program uses existing, off-the-shelf face recognition functionality already in OpenCV: https://github.com/jwcrawley/uWho/blob/2823479d5abf9f8f2de21...

That's what my github.com/jwcrawley/uWho project does: Facial recognition on an old computer with no GPGPU processing. Now , any of the CVDazzle "exploits" screwing up a LBP cascade on face detection works to subvert my model, as does closing ones eyes. Aside those small details, it was in large a great success for my initial goal. Now, I'm looking at getting it into a client-server architecture, where I can recognize who lives here, and whom comes over regularly. The idea is that I can have an "aware front door" that can ring a doorbell or send a message (with who: text/picture) if we are away. Even crazier is to allow bidirectional voice to us over a VoIP connection. I see its purpose in a part of the home IoT infrastructure that isn't like a "internet toilet" kind of uselessness.

I also built an Open Source (GPL3) facial recognition program as well, called uWho (github.com/jwcrawley/uWho). Mine doesn't need anything like CUDA or OpenCL, and runs on a 6 year old laptop at 1280x720@15fps. I ran it at our free, ticketless convention called Makevention (bloomington, IN). Estimates were that 650-700 people showed up. My tracker counted 669 uniques, which I think is spot on. I also wrote mine for privacy in mind. The database was a KNN on a perceptual hash of the face. The data that was stored was only a hash and could only verify a face: it could not generate the face from the hash. Considering the application (Maker/Hacker con) I wanted to be sure that this was the case. (The data only resided on that machine, and it's wiped now.) I've halted work on the gui version of it. Now I want to make it into a client/server, w

I think you're coming from this already feeling that privacy is very important. The people you're trying to explain it to probably don't really care. With that in mind, here's how I'd see you explain in that way to a lay person who doesn't get why it's important: > I wrote a program called uWho(https://github.com/jwcrawley/uWho) for our hacker You're a hacker? > With a permissive license (OpenCV) attached to a GPL3 (Qt) I have absolutely no idea what you're talking about already. > My version was nice, in that it saved a one-way hash of the person's face. It is a 2 liner to save the full face instead of the nice method I did. If I was following, the only thing so far is that you were taking pictures of people and recognised faces and it was really useful, and you're trying to convince me that we should be worried about others taking pictu

I have a great way to explain Facial Recognition and why it's important.... _________________________________ I wrote a program called uWho(https://github.com/jwcrawley/uWho) for our hacker/maker convention, Makevention. Our goal was to determine how many people showed up to the convention, as it was a free-to-attend with a suggested donation event. With a permissive license (OpenCV) attached to a GPL3 (Qt), I was able to make a real-time face scanner. My version was nice, in that it saved a one-way hash of the person's face. It is a 2 liner to save the full face instead of the nice method I did. I did this using software anyone can get. Now, imagine having this software, with mainframes combined with the ability to trawl through a user's facebook profile... Because a like allows that. And do you have a company's Facebook permission? Now

Ok. So businesses already have cameras. Yeah, privacy, schmiravacy. That horse has done gone left the barn. So, the second problem with cameras/face tracking is cost? I wrote this: https://github.com/jwcrawley/uWho It does what your hardware does, but also does facial recognition. It's still early in the build process, but I'm working on a commercial (non-QT) version of this. But right now, it can accurately count unique people, as well as remember people. So when Jane walks in front of the camera, it remembers that her database number is 1234. Tomorrow, it will also remember that she's 1234. And tracking is all stored in few XML config files for easy calculation.

Yes, and? With OpenCV, I already have face detection, face recognition, eye detection, cascade creation (for detection of any feature I wish), a retinal model in conjunction with retinal scanning via webcam, and other power tools in that bag. And it's all open source. It's easy enough, I made it myself: https://github.com/jwcrawley/uWHo

Precisely. Programming relies heavily on using others' talents and code and abilities. For example, I wouldn't know how to do face recognition quickly. But thanks to OpenCV and QT, I was able to make https://github.com/jwcrawley/uWho I leveraged the code that was written to allow me to go a tiny bit further.