Currently we are working with the water industry to survey their tunnels to prevent
leaks and identify potential structural failures before they happen. Structural
failures such as tunnels or sewers collapsing are obviously costly to deal with.
Leaks alone cost water companies 9.6 billion USD every year. We can help reduce
Current methods, such as using CCTV surveys, don’t work properly in larger
structures, nor do they give accurate measurements that can be compared effectively
Using low-cost sensors, we create accurate (< 5 mm accuracy) 3D maps of underground
structures. The result is higher quality 3D maps, without having to use
expensive, survey-grade LiDAR sensors. Our AI-enabled software is able to
automatically identify defects in structures so that they can be repaired before
expensive leaks or catastrophic damage occurs.
We provide a new LiDAR survey method that is more accurate than
CCTV and cost effective.
ADAS (advanced driver assistance systems) are wholly reliant on sensors. On any
vehicle multiple sensors will need to interact and learn from each other to deliver
the safest and smoothest ride. Existing sensors used in ADAS and autonomous vehicles
are not able to cope well in poor visibility: fog, snow, heavy rain, even with the
most advanced LiDAR, radar and cameras on the market. They also generate vast
amounts of data, 400 GB every hour (from cameras, sonar, GPS, LiDAR) that needs
Our models address these challenges by predicting the environmental variations from
radar, LiDAR and other data. This information is then fed back to the sensors,
enabling them to adapt to the conditions of their surroundings in real-time and see
beyond the fog, rain, or snow.
Our algorithms can compress the data so that it requires less processing, saving:
Power - so the car can drive for longer.
Weight - fewer batteries, processors needed.
Space - more room for passengers and luggage.