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 a 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 the 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.
The Generator - Point Cloud
For many years companies and networking groups have used this facility for seminars and lectures to facilitate networking, knowledge sharing and collaboration opportunities.
Cerberus Nuclear were delighted to offer our services to Birchwood Park, which then allows them to showcase this valued facility in a unique manner.
The original point cloud consisted of over 100 million points of data created from multiple 3D scans. Our scans produced a high-density point cloud with accuracy of 1mm.
The interactive model shown above has been downscaled to ~2 million points to cater for optimised dynamic viewing.
A big thank you goes to Birchwood Park for allowing us to access The Generator, for more information check out:
