Computer Vision Solutions
Build detection, classification, and image-to-image pipelines for real use. Optimize inference for speed, accuracy, and cost on GPU/CUDA.
- Proof of concept
- 3 to 5 weeks
- Production rollout
- 8 to 14 weeks
- Runs on
- Cloud or edge devices
Cameras that see, count and flag what matters.
We build computer vision systems that turn images and video into decisions: detecting defects on a production line, counting stock or people, reading documents and labels, monitoring safety and recognising products.
Each system is trained and tested on your own footage, because real lighting, angles and conditions are what decide whether a model works. We handle data collection and labelling, model training, and deployment to the cloud or to edge devices that run next to the camera.
Results flow into the tools your team already uses, with images attached to every detection so people can verify and correct, and the model keeps improving from those corrections.
- Manufacturers automating visual quality inspection
- Retail and warehouses counting stock, shelves or footfall
- Operations teams monitoring safety and compliance
- Businesses extracting data from photos, IDs and documents
Everything it takes, in one engagement.
Every part of computer vision solutions handled by one senior team, so nothing falls between suppliers and you always know who owns the result.
Feasibility and data review
We assess your cameras, footage and goals to confirm what accuracy is achievable before you commit to a full build.
Data collection and labelling
Capture plans and labelled datasets built from your real conditions, with quality checks on every label.
Detection and classification models
Custom models for detecting objects, defects and events, trained and benchmarked on your data.
Document and text recognition
OCR and layout understanding that pulls structured data from photos, forms, labels and IDs.
Edge and cloud deployment
Optimised models running on GPUs, edge devices or in the cloud, chosen for latency, cost and privacy.
Dashboards and alerts
Live views, alerts and reports with image evidence for every detection, feeding your existing systems.
- Feasibility report with accuracy benchmarks
- Labelled dataset from your environment
- Trained and evaluated vision model
- Deployment to edge or cloud
- Review dashboard with image evidence
- Retraining process for continuous improvement
Tools we trust in production.
Proven, well-supported technology chosen for your product, not for our habits. Everything here is something we run in production.
Python
OpenCV
PyTorch
TensorFlow- Ultralytics
- ONNX
- NVIDIA
FastAPI
Docker
Raspberry Pi- AWS
What this does for your business.
Consistent inspection
Every item, frame or document is checked the same way, every time, without fatigue.
Problems caught earlier
Real-time detection flags issues while they can still be fixed cheaply, not after they reach a customer.
Evidence for every decision
Each detection comes with an image, so teams can verify results and spot patterns over time.
From first call to shipped.
A planned, transparent arc with something you can see every week, so you always know exactly where the work stands.
Feasibility
Weeks 1 to 2A site or footage review and a quick baseline model tell us what accuracy is realistic.
Data and labelling
Weeks 2 to 4We collect representative images and label them carefully, including the rare cases that matter most.
Train and evaluate
Weeks 4 to 7Models are trained and tested against agreed accuracy targets on footage they have never seen.
Deploy and integrate
Weeks 7 to 10The model runs on site or in the cloud, connected to alerts, dashboards and your systems.
Improve in production
OngoingCorrections from your team feed back into training so accuracy keeps improving.
AI & DataA manufacturer adds camera-based inspection to its packaging line, flagging defects in real time, diverting faulty items automatically and logging every reject with an image for the quality team to review.
Talk to us about a project like thisQuestions we hear a lot.
Something else on your mind? Ask Luma in the corner, or reach the team directly.
Ask a questionOften, yes. We review resolution, angle and lighting during feasibility and recommend changes only where they meaningfully improve accuracy.
Explore related services.
Need computer vision solutions done right?
Tell us about your project, we'll come back with a concrete plan and timeline.