Faceter is CCTV software with machine learning making video surveillance smart. It has real-time human face recognition and tracking, user-friendly console for all your cameras and security events accessible from everywhere: equally convenient on mobile, tablet and in browser.
@ghundermark Thank you for your interest! In theory there is no limitation -- everything depends on hardware capacity. We tested Faceter on stadium and got 500 per sec on 1 NVidia Titan. We are going to run Faceter in decentralized infrastructure (fog computing). We will involve crypro miners into the decentralized computing network. They usually have very good hardware. So we hope to get a lot of computing power with lower cost, compared to cloud.
Used to work in the industry. Casinos, jails, and hospitals would love this; especially casinos. Places like Dubai and Columbia as well. The only issue would be everyone wants onPrem and you’d have to compete with Axis. Is there still no platform for video security that supports 3rd party services as add ons yet like heroku, Salesforce, or Slack?
@kay0stheory You are absolutely right. We have recently finished POC project with one of the biggest casino chain in South Africa. They found Faceter being very useful. They had about 50% accuracy with previous solutions, and got up to 99,7% with us (LFW test result). They have black list of visitors which they have to stop at the entrance. They are not nessesary fraudsters. Sometimes they are just gambling addicted and casino can get high penalty if they accept them.
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How is your face recognition performing? Our Docker deployable Facebox uses some state of the art tech, is more accurate than Google and Microsoft's Faces APIs, and you can train it on specific people with a single photo (we call it one shot teaching). If you're interested, please give Facebox a try! (http://machinebox.io)
@zhansaparov@rrhoover@valereonmobile /haircut is cool, but it will not help in real situation. Hair is moving and opens different parts of face. Algorithm takes several frames from videostream to build individual vector, which will define person. I described this process with some details in the blog here: https://becominghuman.ai/how-fac...
@valereonmobile We are working on algorithms which will recognize person by body proportions and movements. So, Faceter will identify criminal even if the one will use hat or beard, or sunglasses. Next step -- to add voice recognition. Faceter is not only a company which is working on it. This process can't be stopped already. So, let's just use these technologies for own protection. I think it is fair if individuals will have access to this kind of technologies too, not government and big corporations only.
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Pros:innovative
Cons:do not know