See the World. Solve Real Problems.
We build vision systems that check what a camera sees. They catch defects, watch safety on site and count what moves.
Visual Intelligence
Find and name objects, people and scenes in a frame.
High Accuracy
Models tuned on your images, not on a public test set.
Real-Time Performance
Fast enough to keep up with the line at full speed.
Secure & Scalable
Runs on your cloud, or on a small box at the site.
Our Computer Vision Capabilities
Image Classification
Sort images by type at full line speed.
Object Detection & Tracking
Find an object and follow it across frames.
Semantic Segmentation
Mark each pixel, not just a box around it.
Pose Estimation
Track posture, movement and joint points.
OCR & Text Recognition
Read text off labels, packs and paper forms with OCR.
Anomaly Detection
Spot the odd part that a tired eye misses.
Where This Creates Impact
- Improvement in Operational Efficiency
- 30–50%Improvement in Operational Efficiency
- Detection Accuracy
- 90%+Detection Accuracy
- Continuous Monitoring
- 24/7Continuous Monitoring
- Reduction in Manual Inspection
- 60%+Reduction in Manual Inspection
Figures are typical ranges observed across comparable engagements, not guaranteed outcomes.
Popular Use Cases
Defect Detection
Catch faults on the line while the batch still runs.
PPE & Safety Monitoring
Check helmets, boots and guards on site, live.
Shelf & Footfall Analytics
See which shelves empty, and where buyers walk.
Vehicle & Traffic Analysis
Count vehicles, sort them by type and track them.
How This Actually Works
Vision projects succeed or fail on capture conditions. So we start there: light, camera angle, distance and how steady they stay. That work comes before any model is trained. Fixing the light costs far less than correcting for it in software, and it works better.
We then label a fair sample of your images and train on it. We test under your real conditions, not against a public benchmark. The model then runs on a small box at the site. Inference is local, fast and needs no network.
What You Get
- A capture review covering camera placement and light
- A labelled dataset built from your own images
- A trained model tested under your own conditions
- Edge deployment, so inference happens on site
- An alert and review screen for flagged items
When This Is Not the Right Fit
We would rather tell you now than three weeks into a project.
- The defect cannot be seen by a camera — heat, sound and vibration need other sensors
- Capture conditions cannot be controlled at all and change from shot to shot
- You have no examples of the thing you want found, and no way to make any
How We Deliver
- 01
Discover
Understand your business, data, challenges and goals.
- 02
Design
Prioritise use cases and design the solution architecture.
- 03
Build
Develop, train and validate models against real outcomes.
- 04
Deploy
Integrate into your systems with monitoring and governance.
- 05
Optimise
Measure, refine and scale what demonstrably works.
Computer Vision — Common Questions
Less than most people expect. Standard factory cameras, or even good IP cameras, cover most checks. Steady light matters far more than which camera you buy. It is also the cheaper thing to fix.
Yes. The model runs on a small box on the shop floor. It works with no internet, and no video leaves your site.
For defect detection, a few hundred labelled images per defect type gets a first useful model. Defects are rare, which is the whole problem. We fill the gap with augmented and synthetic images.
Often yes, and the pilot is what settles it. We test in your own light, dust and heat. We will not promise a number from a lab bench.
Ready to turn vision into value?
Book a 30–45 minute discovery call. No commitment — just a clear view of what is realistic for your business.
Book a Free Consultation