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Computer vision inspection and safety

Consistent inspection, accurate counts and safety alerts from the cameras you already have.

For operations, quality and safety leaders in manufacturing, logistics and retail.

Our computer vision inspection uses machine learning models trained on your own images to detect defects, count items and flag safety issues. Every alert goes to a person, who makes the final call.

eORB Solutions Inc builds computer vision inspection for operations, quality and safety leaders in manufacturing, logistics and retail. Machine learning models trained on your own images detect defects, count items and flag safety issues, using your existing cameras where possible. Every alert goes to a person, and accuracy is measured before you decide.

Why do inspection results vary from shift to shift?

The same part can pass on one shift and fail on the next. Counts are done twice and still disagree. Safety rules hang on the wall, but no one can watch every zone at every moment.

What does computer vision inspection include?

  • Defects found consistently

    Models trained on your own examples of good and faulty work.

  • Counts as items pass

    Items, vehicles, people or pallets, counted with a record you can audit.

  • Safety issues flagged live

    Restricted zones, protective gear and unsafe behavior, with alerts to a person.

  • Your existing cameras

    Existing cameras wherever possible, and new ones only where they are needed.

Your first two weeks

By the end of week two you have one camera running one task on your real images, with the accuracy measured and reported. You see that number before you decide on anything further.

What comes after

More cameras and tasks

Added in order of their value to quality or safety.

Connected to your line and records

Results flowing into your production, quality and safety systems.

Edge devices for speed

Processing on-site where decisions must be immediate.

Regular retraining

Models retrained every month on new images, so accuracy holds as products and conditions change.

Built for our clients and running today.

Most of our work since 2007 is under NDA. These three we can show.

Flagship delivery · Client under NDA

From impossible to possible: a story rebuilt as a platform people return to.

A subscription platform with an AI guide, a members' community and regional pricing, designed, engineered and launched by eORB.

KwikL · B2B software · United States

KwikL: a sales platform that finds ready buyers.

It reads a company's website, finds the businesses most likely to buy and helps the team reach them. Strategy, brand, product design and engineering by eORB.

Nth Origin · Media technology

Nth Origin: a film studio in the browser.

One place to take a film from first idea to final cut: script, storyboards, takes and master. Identity, product design and platform architecture by eORB.

See all work

Insights.

One business question a day from our team, plus longer notes on selling, brand and the systems behind them.

Latest article

WebGPU or WebGL: what we ship in 2026 and why

WebGPU is in every major browser, WebGL still reaches everyone. How eORB decides per project, with a fallback so no visitor sees a blank box.

Read the articleLatest comparison

Browser 3D vs Unreal Engine vs video for a product launch

Reach, quality, cost and what the customer can do with it. When a configurator in a tab beats a film, when Unreal is worth it, and when video is still right.

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Questions buyers ask

How accurate is computer vision inspection?
We measure it on your own images and give you the number before you decide. In the first two weeks one camera runs one task on real footage, and we report how often it is right and wrong. You then choose whether that accuracy is good enough to continue.
Do we need new cameras?
Often not. We start with the cameras you already have and test whether their position, resolution and lighting support the task. We recommend new cameras only where image quality requires it, and we explain why in writing before anything is bought.
What happens to our footage?
It stays in systems you own, under your policies. Footage is used only to train and run your models, and you own the images, the models and the code from the first week. Access, retention and storage location are agreed in writing first.
What does it save?
The savings are agreed and measured with you rather than promised in advance. The usual aims are fewer defects reaching customers, counts that match and incidents caught early. We agree the measure in writing first and report against it every month.
What does it cost?
It depends on scope. The main factors are the number of cameras, the number of tasks and the systems the results connect to, such as your quality or safety records. Share your website and we'll come back with a clear plan and a written estimate.

Related

AI assistants and machine learningThe Build service behind this page.Custom machine learning model developmentWhen the task needs a model built from your own data.Manufacturing and engineeringHow we work with production and quality teams.Logistics and supply chainHow we work with warehouses, yards and fleets.

Measure it on your own images first