A ROAD SAFETY AI,
DEDICATED TO TUNNELS

TunnelWatch is a new generation Automatic Incident Detection software
that uses deep learning to improve decision support and facilitate maintenance.

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DECISION SUPPORT FOR TUNNEL OPERATORS

The solution is for underground and  cut-and-cover tunnels.
It provides robust and  instantaneous detection of incidents, at the service
of supervisory checkpoints. Adaptive and self-learning, the system performance improves continuously and the maintenance is done automatically.

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98%

of performance rate

FIRST GOAL : TOULON TUNNEL

The solution is  being deployed into  the Toulon tunnel,
to take control of the real-time analysis over
a hundred video streams.

3.5 km long, with 2 tubes, this tunnel, connecting the A50 to the A57, is crossed every day by 30,000 vehicles, driving through under Toulon city center.

A DISRUPTING SYSTEM: ANAID BASED ON AI

The solution is built on AI models pre-trained on various underground infrastructures
and several thousand incident sequences.

A SELF-LEARNING SYSTEM

TunnelWatch improves continuously based
on the experience acquired by the algorithms
in the  proper infrastructure as well as in all the other tunnels analyzed by TunnelWatch.

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COLLABORATIVE INTELLIGENCE

Trained by generalized and generalizable data, TunnelWatch is able to address new underground infrastructure while sharing the intelligence capitalized through the analysis of those already covered.

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AUTONOMOUS MAINTENANCE

Thanks to smart masks system, TunnelWatch product make integrators and maintainers work easier -
it can continually self-configure in order to maintain
its performance over time.

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TUNNEL OPERATORS SUPPORT

Designed to specifically meet tunnel supervisors’ needs, TunnelWatch generates highly qualified data
improving decision-making support and user safety.

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WHY IMPLEMENTING TUNNELWATCH ?

Shared intelligence

Algorithms that keep
on learning from different sources

Performance

98% of detection performances
and false alarm filtering

Adaptive maintenance

 Automative self-parameter to maintain
its performance

Easy-to-use

Intuitive interface
and quick to handle

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IA AGAINST FALSE POSITIVE

Using deep learning helps the system to take into account
many parameters for every sequence, in order to improve detection.
The solution improves automatically overtime,
in order to reduce drastically false alarms.

ADAPTATIVE MAINTENANCE

TunnelWatch takes advantage of AI to recognize forms
and areas in tunnels,  used to geolocate incidents and define
regular traffic flow direction.
If a camera moves –vibration, impact or wear- AI updates
automatically these informations.

AN INTUITIVE TOOL, EASY-TO-USE

Built to provide a reliable and understandable information
in every circumstances, and to facilitate set up and maintenance, Tunnelwatch graphical user interface enables a better comfort
for supervisors, and enables saving time
for administrators and integrators.

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