We work on what we know best and bejond
RESEARCH AND EXPERIENCE
We always work to improve.
How we work
Artificial Intelligence applied to image recognition is experiencing a moment of strong development thanks to the evolution of machine and deep network learning algorithms, the dynamics of rigid bodies and mathematical modelling.
Through the acquisition of the image, we collect a lot of information that technology is furthermore able to process and analyze returning simple, clear and immediate results.
We are working beyond the classical approach to indoor localization by radio triangulation (like WiFi, Bluetooth, and so on…).
Indoor localization by CNN (Patent pending)
Our method emulates the human reasoning indoor (humans do not have range sensors but only eyes). It is based on localization by monocular vision, creating a correlation between image flow and observer position/attitude by using CNN.