Founders pledge for privacy.
Karen K Burns
CEO / Founder
Taavi Tammiste
CTO / Founder
Our story about how and why Fyma will not identify subjects on the camera feed and why Fyma has been built on the principle of respecting personal privacy.
Use Cases
Every camera in the world can be connected to Fyma.
Fyma can be used in many different scenarios and our unique camera self-learning capability means that implementation is easy and quick. Here are some of the use cases we have implemented Fyma in.
Fyma Retail
Heartbeat analytics system
Fyma Retail Heartbeat is designed to create a big picture overview of your retail space. Combine 3rd party data sources like PoS (Point of Sale) data with computer vision based movement trajectories and counting to fully understand what is actually happening. Understand if people are coming from the streets, car parking areas or other places and what they are doing.
Set up?
Automagical
Over a short period of time, our algorithm learns about the behaviorsin the camera feeds autonomously. During that period it recognizes the objects’ activities and starts feeding the data to the customer.