Computer Vision Development
Detect, classify and analyse images and video at scale. Quality control, inspection and detection models, taken from data and labelling through to edge or cloud deployment.
Computer vision that runs on the factory floor
Computer vision turns cameras into a source of decisions: catching defects, counting stock, reading a scene. The hard part is rarely the model, it is the data, the labelling and running reliably in the real world.
We handle the whole pipeline, from data collection and labelling to model training and deployment on edge devices or in the cloud, with monitoring so accuracy holds under real conditions.
- Detection, inspection and quality-control models.
- Data and labelling handled, not assumed.
- Edge or cloud deployment with monitoring.
What we build
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Detection and classification
Object detection, defect classification and counting models trained on your imagery and conditions.
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Data and labelling
Data collection and labelling pipelines, because a vision model is only as good as the data behind it.
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Edge and cloud deployment
Deployment on edge devices or in the cloud, with monitoring so accuracy holds as lighting and inputs vary.
Frequently asked questions
Do we need a huge labelled dataset?
Not always. We assess what you have, use techniques that reduce labelling effort, and are clear about what is achievable before committing.
Can it run on the factory floor?
Yes. We deploy to edge devices where latency or connectivity require it, and to the cloud where central processing makes more sense.
How do you keep it accurate over time?
We monitor performance in production and retrain as conditions such as lighting, cameras or products change.
Turn your cameras into a second pair of eyes
Tell us what you need to see and decide. We will scope a computer vision system from data through to deployment.