---
title: "Computer Vision Development Services | Inspection, OCR, Detection | Agility"
url: https://agilitytech.ai/computer-vision-development
description: "Computer vision development for real cameras and real documents: defect inspection, OCR, object detection and counting, on cloud or edge devices."
publisher: Agility (agilitytech.ai)
---

Service · Computer vision

# Computer vision development

Most computer vision demos work on clean sample images. The hard part is your lighting, your camera angles and your messy scans.

- Senior engineers on every project
- Evaluation before launch, not after
- You own the code and the models

48-hour turnaround · free · no obligation

### Talk to us about Computer vision

Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.

In short

## The quick answer

We build inspection, OCR and detection systems around the images you actually have, and run them in the cloud or on devices next to the line.

What we build

## What we build with Computer vision

### Visual inspection

Spotting defects, missing parts or wrong labels on a production line, flagging items for a person to check rather than silently rejecting them.

### OCR and document reading

Reading invoices, forms, labels and handwritten fields, combined with validation rules so mistakes are caught.

### Detection and counting

Counting stock, vehicles or people in a zone, and tracking movement across frames.

### Edge deployment

Models optimised to run on local hardware when the network is unreliable or images cannot leave the site.

Fit

## Is Computer vision the right choice?

### When it is a good fit

- People are visually checking things that follow clear rules.
- You process large volumes of scanned documents.
- You already have cameras and want more out of them.

### When we would suggest something else

- The decision needs context a camera cannot see.
- You cannot collect sample images from the real environment.

Process

## How a project usually runs

- 01 ### Collect real images Samples from your actual cameras or scanners, including the bad ones.
- 02 ### Label what matters A labelling plan focused on the hard cases, not thousands of easy ones.
- 03 ### Train and test on site conditions Testing under your lighting and angles before anyone promises an accuracy figure.
- 04 ### Deploy with a human check Low-confidence results go to a person, and their corrections feed the next training round.

Pitfalls

## What usually goes wrong

We have seen these enough times to plan around them from the start.

- Lab accuracy that does not survive real lighting.
- Too few examples of the rare defect you actually care about.
- No feedback loop, so the model never improves after launch.

Next step

Want to see similar work? Browse our [case studies](https://agilitytech.ai/case-studies) or [tell us what you are working on](https://agilitytech.ai/contact).

FAQ

## Computer vision: common questions

[Ask us something else](https://agilitytech.ai/contact)

**How many images do we need?+**

It depends on the task. Pretrained and vision-language models mean you often need far fewer than people expect, but you do need examples of the hard and rare cases.

**Can it run without internet?+**

Yes. We optimise models to run on edge devices or local servers.

**Can it read handwriting?+**

Often, yes, especially for structured fields. We test on your real documents before committing to an accuracy target.

**What happens when the model is unsure?+**

It routes the item to a person. Those decisions are logged and used to improve the model.

Keep reading

## Related pricing and decision guides

[Hire computer vision engineers](https://agilitytech.ai/hire-computer-vision-engineers)[Manufacturing AI case study](https://agilitytech.ai/case-studies/manufacturing-ai)[Hire AI developers](https://agilitytech.ai/hire-ai-developers)[AI agent development](https://agilitytech.ai/ai-agent-development)[LLM development services](https://agilitytech.ai/llm-development-services)

## Get your exact number with a free 48-hour audit

Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.

Get my fixed estimate