Computer vision
Computer vision development: AI that sees and understands images.
Clarigo Infotech builds computer vision systems that turn cameras and images into decisions: spotting defects on a production line, reading documents, monitoring safety, counting and tracking objects, and analysing video. We deploy in the cloud or at the edge, close to your cameras, and our Clarigo Factory OS product brings vision inspection to the factory floor.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
What we build with computer vision
Quality and defect inspection
Check parts and products on the line in real time and flag defects before they ship.
OCR and document AI
Read invoices, IDs, forms and labels and turn them into structured data.
Safety monitoring
Detect missing PPE, restricted-zone entry and unsafe conditions, and alert supervisors.
Object detection and counting
Count, classify and track items, vehicles or people in images and video.
Video analytics
Turn camera feeds into events, dashboards and alerts.
Edge deployment
Run models on-site so they keep working offline and images never leave your premises.
How we approach Computer vision
Start with the decision, not the model
We begin by agreeing what the system must decide (pass or fail, which category, how many) and how accurate it needs to be, then collect and label the right images to train and test against.
Data and labelling
Good vision AI depends on representative images: different lighting, angles and edge cases. We set up labelling, augment where needed and keep a held-out test set to measure real accuracy.
Cloud or edge
Some use cases suit cloud processing; production lines and sensitive sites usually need edge devices next to the cameras. We design for the latency, connectivity and privacy your site requires.
People stay in control
Uncertain predictions go to a person to confirm, and every decision is logged with the image behind it, so the system improves over time and can be audited.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
Questions we hear most
What can computer vision do for my business?+
Common uses are inspecting products for defects, reading documents, monitoring safety, counting and tracking objects, and turning video into alerts and dashboards.
How many images do we need?+
It depends on the task. Many projects start with a few hundred to a few thousand labelled images; we help you collect and label them and measure whether accuracy is good enough.
Can it run without the internet?+
Yes. We deploy models on edge devices at your site, so they keep working offline and images stay on your premises.
Does it work with our existing cameras?+
Often, yes. We check resolution, angle and lighting first and recommend changes only where accuracy needs them.
How long does a computer vision project take?+
A focused pilot on one use case typically takes 4 to 8 weeks depending on data collection, then it is rolled out more widely.