AI Development / Computer vision
Computer vision for images, scans and video.
Computer vision development for images, scans and video: systems that read and interpret visual input, with uncertain cases sent to a person for review.
Astra Short on time? Ask about this page in plain words.
Computer vision services. From visual input to structured, usable data.
Use case assessment
Check what visual input you have and what should come out of it.
Image & scan processing
Read scanned documents, drawings and photos.
Object detection
Find and label items in images or video.
Classification
Sort visual input into defined categories.
Quality checks
Spot defects or missing elements automatically.
Confidence & review
Low-confidence results routed to a person.
Integration
Results delivered into your systems.
Monitoring
Accuracy tracked in production.
Retraining
Models updated as new examples arrive.
Related AI work. Delivered engagements in neighbouring areas. None of them is a Computer vision project.
AI document intelligence
Extraction and classification that sends only the exceptions to people.
>80% less manual review AI · ConstructionAI SaaS for fit-out & construction
An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams.
5-stage connected workflow AI · Workflow automationWorkflow automation platform
AI extraction feeding a deterministic rules engine, with consistency checks built in.
~70% faster document prepHave an AI idea you want to test against real data?
From idea to production. Four stages, with a working version reviewed at each one.
-
Discovery
Map the visual workflow, the systems and data involved, and what good looks like.
Discovery notes
- Goals and constraints
- Data available
- How success is measured
-
Scope & architecture
Agree the architecture, success measures and delivery milestones.
Solution design
- Approach and architecture
- Evaluation plan
- Delivery milestones
-
Build
Build against real data, with a working version reviewed at each milestone.
Working build
- Built against real data
- Results measured
- Review at each milestone
-
Ship & support
Roll out to production with monitoring and a defined support window.
Production rollout
- Production rollout
- Monitoring
- Defined support window
Why Avinya for computer vision. Vision systems with a person checking the cases that matter.
Flagged cases go to people
Uncertain or high-stakes results are sent for human review, not acted on automatically.
People stay in control
Approval checkpoints, escalation paths and exception review are designed in from day one.
Traceable by default
Citations, audit trails and logs, so outputs can be verified rather than trusted blindly.
Production, not demos
Built to run against real systems and real data, with monitoring once live.
Full-stack delivery
Data pipelines, models, product and integrations from one team.
AI and Web3 under one team
One studio for AI systems and, where it helps, on-chain infrastructure.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A dedicated team that works as an extension of yours, from first release to scale.
Project-based
A defined scope, milestones and delivery date for a specific product or workflow.
Consulting & advisory
Architecture and readiness advice before you commit to a build.
What our clients say.
“Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.”
“Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.”
Guides on this topic. Plain answers to the questions buyers ask first.
Operational AI Systems: A 2026 Guide for Enterprises
How AI moves from pilots into the daily operations of a business.
Read the guide → GuideEnterprise AI Deployment: Why Projects Stall in Pilot
The eight causes we see most, and a roadmap that gets AI live.
Read the guide → GuideAI Agent Development Cost: What Drives the Price (2026)
What drives the price of an AI agent: scope, complexity, iterations and retainer.
Read the guide →Computer vision FAQs.
What can computer vision be used for?
Reading scans and drawings, detecting objects, classifying images and checking quality, wherever visual input drives a decision.
What happens with uncertain results?
They go to a person for review instead of flowing straight into your systems.
How long does a project take?
It depends on scope and integrations. We agree milestones up front and review a working version at each one.
What affects the cost of computer vision development?
Mainly the amount of labelled images, the accuracy you need and where the model has to run. Computer vision development starts with a test on your own images, and we review risks and failure cases using the NIST AI Risk Management Framework.
Free tool
How ready is your business for AI?
Twenty questions, about four minutes. You get a score across five areas and what to fix first.