ATLAS SYSTEM
What we propose
- Locating patient and staff stations in the hospital through portals equipped with people‑counter systems and BLE*.
- Controlling entries and exits to the building and on each floor.
- Locating assets (e.g. ultrasound scanners, defibrillators) to optimise logistics.
- Preventing patients from falling out of bed in post‑operative situations.
- Enabling reconstruction of the movement history of an asset/person (e.g. analysis of hazardous situations).
The ATLAS project is the ideal solution for preventing and resolving location and control issues in hospital facilities.
How we do it
2 - Through AI
SOFTWARE.
- AI‑based computer vision algorithm.
- System trained through a neural network to recognise specific patterns, even when they are highly heterogeneous.
- Display of potential fall alarms in the user interface.
HARDWARE
- Mini‑computer.
- Video camera
The integration of information from all the aforementioned systems and the automated alert‑management logic enable a remote monitoring server, if required, to display critical data such as the presence of overcrowded areas (to prevent too many people gathering in the same place), building security, access by unauthorised users to restricted zones, and alarms for personal assistance and/or tampering with security devices and assets. The flexibility of the software allows alert rules to be configured through aggregated data analysis.
The system enables the integration of smartphone or tablet apps that, in indoor environments, allow users to navigate interactive maps and be guided along the route to reach the desired room or area. All data collected from multiple platforms regarding people flows and distribution within buildings can be analysed to generate valuable statistics on large numbers, related to events or phenomena under study or of interest to the organisation using them
