Service

Computer Vision Development
for Industry, Logistics & Documents

Brillnex Systems builds custom computer vision systems that run in real conditions. Industrial inspection, Arabic and English OCR, safety monitoring, and logistics tracking, designed around the cameras and networks you already have.

We start with a proof of value on your own images so you see real accuracy numbers before committing to a full build. Where operational data cannot leave your network, we deploy self-hosted models on premise. Offshore rates, 40 to 60% below US, UK and Gulf agency pricing.

TL;DR

Computer vision development means training a model to read what your cameras already see: defects, documents, vehicles, people, stock. Brillnex scopes a proof of value on your images first, then builds and deploys the production system on premise or in cloud. Typical cost $15,000 to $60,000 per use case, 8 to 16 weeks to production.

What Computer Vision Development Includes

Every environment is different. These are the deliverables that recur across our computer vision engagements:

  • Industrial inspection and defect detection on production lines
  • OCR and document capture in Arabic and English, including scanned and annotated pages
  • PPE detection, restricted-zone monitoring and safety compliance analytics
  • Vehicle, container and asset identification for logistics and yard management
  • Retail shelf analytics, stock detection and anonymous footfall measurement
  • Custom model training on your own labelled images, plus the labelling pipeline
  • Integration with existing ERP, MES, asset management and operations platforms
  • On-premise, edge and in-region cloud deployment for restricted data
  • Accuracy monitoring, drift detection and retraining after handover

Why Choose Brillnex as Your Computer Vision Developers

Scoped against your hardware

We assess your cameras, lighting and network before quoting a model. If the existing setup will not reach the accuracy you need, you hear it during scoping rather than after the build.

Proof of value first

Before a full build you get a working model trained on a sample of your own images, with measured accuracy on your own conditions. You decide whether to continue on evidence rather than a pitch.

Deploys where policy requires

Industrial and energy clients frequently cannot send image data to a third-party API. We deploy self-hosted models on premise, at the edge, or in an in-region cloud.

Frequently Asked Questions

Can you run computer vision on the cameras we already have?

Usually yes. Most of the vision projects we scope run on cameras that are already installed. We assess resolution, frame rate, lighting and placement first, and we will tell you before the build starts if existing hardware cannot carry the accuracy you need. Discovering that after the build is the expensive version.

How accurate will the system be?

That depends on the use case and the data. We scope a proof of value first, trained on a sample of your own images, so you see real accuracy numbers on your own conditions before committing to the full build. Anyone quoting an accuracy figure before seeing your data is guessing.

What does a computer vision project cost?

A single well-defined detection or inspection use case typically runs $15,000 to $60,000. The range depends on accuracy requirements, how much labelled data already exists, and whether deployment is on premise. A proof of value on your own images costs less and comes first. That is 40 to 60% below US, UK or Gulf agency pricing for the same scope.

Do you handle Arabic OCR and document capture?

Yes. We build document pipelines that read Arabic and English, including scanned documents, mixed-language forms, and pages with handwritten annotations. Common cases across the Gulf are permits, customs and shipping paperwork, inspection reports, contracts and maintenance logs.

Can the system run without sending images outside our network?

Yes. For clients with data residency or operational security requirements, we deploy self-hosted models on premise or in an in-region cloud, with no image data leaving your environment. This is standard for industrial and energy sector work in the Eastern Province of Saudi Arabia.

How long does a computer vision build take?

A proof of value on your own data takes 2 to 4 weeks. A production system typically takes 8 to 16 weeks from there, depending on deployment environment, integration with your existing operations software, and how much edge-case handling the conditions demand.

Have a computer vision use case?

Book a free scoping call. Bring the use case and a few sample images, and we will tell you honestly whether computer vision is the right tool for it and what accuracy is realistic.

Book a Free Call