We have developed a custom computer vision object identification algorithm. As a demonstration, we trained a neural network to identify cars and lorries on a motorway using R-CNN object detection.

The algorithm identifies number of objects, object type (car / lorry etc.), object colour, object speed and confidence in match. In addition, a report is generated that summarises the information gathered over time.

Cerberus Nuclear has access to necessary computing power for near real-time, high-accuracy identification. The example was produced to demonstrate validity for stopped car identification as well as traffic monitoring.

In addition to this example, computer vision has a number of nuclear applications that we will be looking to build upon in the coming weeks.

If you would like to know more or if you have a specific challenge, which you think computer vision may solve, don’t hesitate to get in touch.


Reference video: Road traffic video for object recognition https://youtu.be/wqctLW0Hb_0