An augmented reality solution to facilitate the work of police officers in the field.
About the project
The project is intended for the municipal police. Using augmented reality glasses, the solution allows police officers on patrol to identify a potential suspect in real time thanks to synchronization with a fleet of fixed cameras. The entire system connects to over 10 different data sources.
Industry
Security
Type
Mobile app
Augmented reality
Administrator platform
Zetos servicces
The team designed the entire solution: from the application to the back office, as well as a management dashboard.
The architecture, AI algorithm and technical specifications of the connected glasses were also integrated into the design to optimize the system.
The architecture, AI algorithm and technical specifications of the connected glasses were also integrated into the design to optimize the system.
The technical developments covered various fields: integration of AI, development of an Android and iOS application, development of the back office and development of the monitoring tool for the Operations Center.
We continue to support and maintain this operational system with 3 challenges:
Hardware support.
Maintenance of the connected system.
A call center if needed.
Tech stack
We used a combination of Go, Python, MySQL, and Oracle. All this on a secure public network and with a distributed architecture to maximize service availability.
Cloud
Private cloud
Front End
VUE
Backend
Golang
Python
Database
MySQL
Oracle
No SQL
Queue & performance
Redis
Our favorite features
Act and prevent
With fixed cameras, cities are improving city security. It is a valuable tool for police services. But they cannot act directly - they are “passive” systems - and above all, they cannot communicate data between services.
In this project, we successfully integrated 10 data sources into a powerful AI algorithm. This allows not only to react in real time, but also to prevent problems
In this project, we successfully integrated 10 data sources into a powerful AI algorithm. This allows not only to react in real time, but also to prevent problems
Facilitate field work
Thanks to multiple data sources, agents in the field are alerted only in the event of an identified individual. Facilitating prevention work that had until now been very difficult.
The project in figures
10 data sources
connected.
connected.
10 000 pairs of
glasses connected to the
system.
glasses connected to the
system.
1M of data
capacity in
transactions.
capacity in
transactions.