Faceter is a video surveillance and security platform based on artificial vision technology and an approach that involves analyzing the chain of events happening in the frame and responding to them. Faceter makes video surveillance systems much more capable by adding face recognition technology. Faceter can build a list of office workers, family members, restaurant patrons; generate a report on who was detected and when in the cameras' scope; find each occurrence of a specific person at a particular location and retrieve specific records from the archive. Faceter can be taught to respond to specific events. For example, the system can send SMS to parents when their child arrives from school, and transmit information to integrated systems via available APIs. It could be a smart house management platform that will send a command to warm up food in the microwave. When integrated with urban services, Faceter can be configured to perform specific actions, such as sending alerts to 911 if there are signs of violence or incipient crime.
STO/ICO Status
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Basics
Platform | Ethereum |
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Type | ERC20 |
Accepting | BTC, LTC, DASH, XRP, ETH, XEM, XMR, BCH |
Circulating Supply | 40,8% |
KYC | N/A |
Restricted Areas | N/A |
Homepage | Website URL |
White Paper | View/Download |
About
Faceter is the first decentralized surveillance system for consumers. Faceter makes video surveillance smart, giving brains to cameras through enhanced face detection, object detection, and real-time video analysis. These features allow cameras to understand the situation and respond to it, offering much better security to all the customers.
Computer vision technology on the blockchain powered by a decentralized network of miners makes the product affordable for all-sized businesses and mass market consumers. The benefit from a mining perspective is that a contribution of miner's resources to Faceter is twice as profitable as the mining of Ether on the same Graphics Processing Units (GPU’s).
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. This amounts up to 80% of the total amount of calculations performed.
Faceter plans to fill this niche by offering a product with broad functionality and an affordable price to mass consumers, such as small businesses and ordinary people.