Applied AI & Agentic Systems

Computer Vision

Image and video intelligence for detection, classification and OCR, from cloud GPU to the edge.

Projects delivered
80+
Countries served
16
Global offices
4
Founded
2021

The challenge

Where teams get stuck

The problems we're most often brought in to solve.

  1. 01

    Accuracy falls in real conditions

    Detection accuracy drops as soon as lighting or camera angle changes in the operating environment.

  2. 02

    No labelled training data

    Only raw images or footage exist, with no annotated data to train on.

  3. 03

    Edge hardware constraints

    Models that perform on cloud GPUs are too slow or too large for the target camera or device.

Overview

Computer Vision at VulcanTech

Computer vision is the field of AI that interprets images and video to detect, classify and read what they contain. VulcanTech engineers systems for object detection, defect and anomaly detection, OCR and video analytics, deployed in real time or in batch on cloud GPUs or at the edge. Our work includes an AI-enabled smart security camera and an AI disease detection system, both delivered under NDA. Labelling pipelines are included when you start from raw footage.

Key deliverables

  • Model training on your labelled image or video data
  • Real-time inference pipeline on cloud GPU or edge device
  • Labelling pipeline where annotated data does not yet exist
  • Accuracy report on real-world test footage
  • Deployment and retraining guide

What you get

What Computer Vision includes

  • Object and anomaly detection

    Models that locate objects, people, defects or unusual events in images and video.

  • Image classification

    Classification of images into categories, including medical and inspection use cases.

  • OCR and document vision

    Text extraction from documents, labels, number plates and screens.

  • Labelling pipeline

    Annotation tooling, guidelines and quality checks when starting from raw footage.

  • Edge optimisation

    Model compression and conversion to ONNX or TensorRT for cameras and edge devices.

  • Real-time video pipelines

    Streaming inference with alerts and event logging for live camera feeds.

Our process

How we deliver

A delivery process you can see into — from first workshop to production support.

Book a free consultation
  1. 01

    Discovery

    A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.

  2. 02

    Architecture & planning

    We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.

  3. 03

    Iterative delivery

    Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.

  4. 04

    Assurance & hardening

    Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.

  5. 05

    Launch & continuity

    We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.

Engagement models

Work with us the way that suits you

Explore engagement models →
  • Outcome-based delivery

    A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.

    Best for: Well-defined initiatives, MVPs and first releases

  • Dedicated product teams

    A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.

    Best for: Long-term product development and evolving roadmaps

  • Team extension

    Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.

    Best for: Adding specialist capability without growing headcount

Tools & technologies

The stack we build with

  • PyTorch
  • OpenCV
  • YOLO
  • ONNX Runtime
  • NVIDIA TensorRT
  • CVAT
  • Python

Why VulcanTech

A partner, not a vendor

Senior engineering, honest delivery, and work we can name.

  • Senior engineers own delivery

    The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.

  • Engagement models that fit

    Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.

  • A verifiable track record

    Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.

  • 80+ projects in 16 countries

    Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.

Resources

Latest insights

View all insights →

FAQ

Frequently asked questions

Can't find what you need? Ask us in the discovery session.

No. Establishing a labelling pipeline, including the annotation tool and quality-check process, is part of the engagement when you are starting from raw footage or images. We can also apply pretrained models and transfer learning to reduce how much labelled data is needed before a first useful model is ready.

Free discovery session

Start your Computer Vision project

Tell us what you're building. You'll hear back from an engineer, not an inbox.

  1. 1We reply within one business day to set up a 30-minute call.
  2. 2A senior engineer — not a salesperson — walks through your problem.
  3. 3You get a scoped proposal with timeline and cost. No obligation.

New projects & sales

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Existing clients & support

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Tell us about your project

Takes about 2 minutes
What do you need help with?
Estimated budget
When do you want to start?

We reply within one business day.