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