MiMi starts by learning about its users, their walking speed, habits and frequently visited places.
It also uses a combination of sensors and cameras to collect data points and generate 3D maps for the surrounding environment to enhance performance and reduce computational operations.

It memorizes routes, locations, building's entry doors, inside buildings and other objects of our daily life.

MiMi offers the possibility to share with the community 3D maps of places and defined routes. The user can also discover new places  and register POIs on the World Map and gain loyalty points. Maps could be sold on a marketplace.

MiMi recognizes obstacles (static or moving), avoid them and trace its trajectory in real-time. It drives the user from point A to point B in full autonomy, using embedded navigation systems.

Various classes of objects are detected and classified using Reconnaissance Algorithms such as vehicules, road and pedestrians signs, sidewalks, people, objects, animals, stairs, lifts, metro stations, bus stops and many more...

Intelligent assistance feature can also be triggered on demand to describe surrounding environment and allow users to navigate more safely and securely.

Based on the trip plan and real-time situations, embedded navigation system traces or updates  best route as it integrates with smart city infrastructure through APIs. The user can know when a bus or a metro arrive, get live on=-trip information. Mimi exchanges information about traffic perturbations, public transport, bus stops, metro stations, taxi services etc. to keep the user informed of any changes. 

Users can also connect their canes together and have a walk, just like vehicles platooning. This feature enable blind people to enjoy a walk without having to worry about their security. They will have more time to talk with their friends or simply listening to a song.