Industrial and urban computer vision
Many organisations have dozens of cameras whose footage is recorded and never watched. Computer vision turns that footage into a number you can decide on — without anyone having to sit through hours of video.
Practical applications
- Quality inspection on the production line: detecting visual defects at consistent speed and standard
- Counting and measurement: vehicle counts, queue lengths, density in public space
- Safety monitoring: detecting entry into restricted areas or missing protective equipment
- Automatic reading of plates, serial numbers and labels in warehouse and logistics processes
How it runs
- 1
Assess on real footage
A sample of your own images is examined to establish whether the problem is solvable with the cameras you already have. If it is not, we say so then.
- 2
Build and train the model
The model is trained on data from that same environment. A model that performs well in a lab but has never seen your lighting and angles does not work in practice.
- 3
Deploy and measure on site
Real accuracy is measured in the operating environment and compared against the current process. Until that comparison exists, any claim of improvement is unsupported.
Frequently asked questions
What does computer vision actually do?
It turns images into numbers. Instead of someone watching hours of video, the system reports how many vehicles passed in a period, how many parts were defective, or how long the queue was.
Do we need new cameras?
Usually not. In most projects the existing cameras are sufficient and what is added is the processing layer. If the angle or image quality is unsuitable, that emerges during the assessment stage.
Are individuals identified?
In the projects we design, no. The output is an aggregate number: counts, queue lengths, defect rates. Identifying individuals is neither necessary nor part of our design.
How accurate is it?
It depends on the application and the image quality, and no figure can be given before seeing real samples. That is why every project starts with an assessment on your own footage, before any commitment.
Where does processing happen?
It can run on the organisation's own servers, with no images leaving the network. For many organisations that is the only acceptable option, and it is designed in from the start.
Further reading
Can your problem be solved from images
A few sample images are enough to say whether this is feasible — and if it is not, no time or budget is spent.