AN AI-POWERED AUTOMATIC INCIDENT DETECTION SOLUTION FOR TUNNELS
Tunnelwatch is an Automatic Incident Detection (AID) software which uses Deep Learning algorithms to improve the precision of real-time reported information in tunnels.
BETTER PRECISION FOR TUNNEL OPERATORS
A tunnel is a particularly confined and therefore critical environment, always exposed to traffic challenges. Because of their constraints and responsabilities, tunnel operators are always looking for improved efficiency. Yet, the limitations of current AID solutions are glaring: tedious installation, lack of reliability, heavy maintenance, equipment dependence, etc.
Thanks to the latest AI technologies, Tunnelwatch provides a robust real-time incident detection solution for Supervisory Tunnel Center: it improves decision support while facilitating maintenance, for even more safety in tunnels.
WHY TUNNELWATCH?
Precision and reliability
Robust and intelligent detection, for more accurate and reliable data: use of Artificial Intelligence to eliminate false alarms.
Facilitated set-up and maintenance
Adaptive solution, with automated configuration: intelligent mask generation model for automated lane segmentation.
An open and autonomous system
Compatible with most cameras (no specific equipment constraints), making easier system maintainability and evolution.
Shared intelligence
Cross-tunnel learning: pooling of false alarm cases for shared intelligence that benefits all structures.
