Post
Topic
Board Announcements (Altcoins)
Re: [ANN][ICO] FACETER – computer vision surveillance technology
by
Faceter
on 21/01/2018, 22:04:27 UTC
Hello. For sure I'll participate. With a small amount because its the only I can spare. To participate is just a matter of creating a profile and wait for the signal?

At the white paper I've found these:

"At Faceter’s technological core is the absolute respect for privacy, and the utilization of the features of convolutional neural networks to split the tasks reinforces this commitment. As a result, sensitive data is always processed in a completely trusted environment, and all images not subject to recovery are passed to the decentralized network."

"If all cameras connected to Faceter are integrated with police and rescue service databases, information about wanted criminals, missing children or people in trouble can be instantly sent through the system to find their relatives and places of residence. In such emergency cases, the police and special services will also be able to access the system in order to discover the "prints" of people in video archives of Faceter users without compromising confidential information, since the system will only use data for which the camera owner gave their consent."

So it means that If I have a camera at home everyone here is safe in privacy and If I want I can connect to police database and if a known criminal comes by, he will be detected?

Will be possible to detect criminals but does not alert the police?

If I have camera at my business I can add the workers profile but it wont be accessible by anyone else?

If I have a profile at a third party camera and I want to get out of the database, it will be possible?

Regards

Concerning connection to databases - I will specify to answer correctly.
About privacy - yes, that's right. This moment in our project paid a lot of attention - everything is really confidential.
The system will be able to recognize faces and persons. At your enterprise, it can establish different access rights for workers, monitor attendance. We had an interesting experience with a plant in Africa where we implemented a pilot project - we managed to identify replacement workers who simply passed the pass to their relatives so that there would be no absenteeism. With this, productivity and quality of work suffered.

In occasion of unforeseen situations - we want to teach the system to recognize that something unusual is happening - a fight, a crime. We are confident that this will help improve security