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 Graphic 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.
The Faceter project was launched in 2014.
Alpha version of Faceter for B2B is released Proof-Of-Concept of Faceter for mass-market (centralized version)
Token SaleBuilding modular architecture and adapting Faceter to fog computing networks to reduce computation costs Developing Android, iOS, Apple TV applications Developing a module for classifying individuals in videos to augment the event-based model with the following features: sex, age, race, emotions New team members: growing IT department Launching beta version of Faceter running on a fog and starting sales in the mass market segment Adding a “user friendly” option: store video archives in decentralized IPFS-based storage providers
Developing integrated solutions in collaboration with hardware vendors Tracking visitors with partially or completely hidden faces. Recognizing body type features: height, weight, build New team members: sales and business development specialists Vehicle detection and recognition in video, including recognition of numbers using cameras with sufficient resolution Partnership agreements with video camera vendors regarding Faceter preinstallation Developing a technology for detecting different events in the cameras’ scope: run, fall, fight, unattended items, hazardous situations (flame, smoke, vibration, non-standard noise etc.) Launching a fully functional decentralized version of Faceter