The Faceter project was launched in 2014.<br />

Alpha version of Faceter for B2B is released<br /> <br /> 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 <br /> <br /> 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 <br /> <br /> New team members: growing IT department<br /> <br /> Launching beta version of Faceter running on a fog and starting sales in the mass market segment<br /> <br /> Adding a “user friendly” option: store video archives in decentralized IPFS-based storage providers

Developing integrated solutions in collaboration with hardware vendors <br /> <br /> Tracking visitors with partially or completely hidden faces. <br /> <br /> Recognizing body type features: height, weight, build New team members: sales and business development specialists<br /> <br /> Vehicle detection and recognition in video, including recognition of numbers using cameras with sufficient resolution <br /> <br /> Partnership agreements with video camera vendors regarding Faceter preinstallation <br /> <br /> 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.) <br /> <br /> Launching a fully functional decentralized version of Faceter