The project has an attractive idea, but I do not really understand how the application will protect me? I'll call the police when the application gives me a signal or the application calls the police directly?
Did faceter said anything about home usage or any other thing about security A.I because is didn't see that in WP All I know is that is just a simple CAM with auto detection matching and other algorithms made on the blockchain
Here goes to the platform analyzing the video image and thanks to the huge computing power that can recognize people, objects and existing circumstances, and take independent actions based on algorithms and A.I.
Example use at home: Detection of potential hazards, fire, smoke, burglaries, dangerous people in the area, suspicious cars.
Faceter will also be able to detect voice and he will be able to respond to the cry for help, the sounds of the shot, threats, breaking glass and other sounds.
Additional uses at home (Smart home): Lights up as he recognizes the household member, turns on the heating as the right person sees. It will open the door after recognizing the household members, etc.
Faceter will inform parents that the children have come back from school, see if they have returned alone or with their friends.
It looks like faceter catches the needs of the people in terms of security and the demand of the people. If this all features will be implemented then I am sure this can increase the number of investors to support the project.
It not only catches the need now through faceter we can have a safety and secured surveillance system installed in our home or company and we can have a secured monitoring ground which even help to trace the strangers.
With the good features of this faceter project I am just wondering now even though faceter system can detect and scanned faces how it will trace the identity of that person? Is there any database they can check?
The system obtains a vector of characteristics (digital code) for each person's face using deep convolutional neural networks.
After such vectors are clustered, compared of feature vectors with available databases and their placed in the storage system.
Such digital code cannot be converted to the original format with reference to the owner.
Face features of one person require only 512 Bytes, so to store features of 1M people will be needed only 512 MB.
Faceter are working on two types of data storage for system to fit needs of all customers.
First, storage on secure private Faceter cloud, where each customer shall have all his encrypted data stored for his account with private keys for each account.
Second, data storage on customer side, for users who want to have full control over their database.