Computer vision systems that see what your team needs checked
Rinaztec builds computer vision and AI image recognition systems for businesses worldwide. A camera or photo upload feeds a model that recognises products, defects, damage, people or text, and the result triggers an action: a quality alert, a stock update, a safety warning or a claim note. We start by testing on your own images in your own lighting, because that is where off-the-shelf vision tools tend to fail.
- PRICING
- Fixed quote
- TIMELINE
- 6-10 weeks
What is computer vision?
Computer vision is the field of AI that lets software understand images and video. It covers image classification (what is this?), object detection (where are the items, and how many?), segmentation (which pixels belong to what) and text reading. Modern vision models can be adapted to a new task with a few hundred labelled examples rather than millions.
Vision systems we build
Quality and defect inspection
Spot scratches, missing parts or wrong labels on a production line or at goods-in, and flag the item before it ships.
Stock and shelf counting
Count items on shelves, pallets or in a yard from photos or fixed cameras, and update your stock system.
Damage assessment from photos
Customers or field staff upload photos, and the system describes the damage and its likely severity for a claim or repair quote.
Safety and site monitoring
Detect missing protective equipment, people in restricted zones or blocked exits, and alert a supervisor.
Photo checks in your app
Verify that an uploaded photo shows the right product, document or completed job before it is accepted.
What's included
- Image audit and labelling plan
- Model trained and tested on your own images
- Accuracy report by class and condition
- Edge or cloud deployment to suit your cameras and network
- Alerts and integration with your existing systems
- Review tool for low-confidence results
- Full source code and model files
How Computer Vision Development projects run
- 01
Feasibility (weeks 1-2)
We test current vision models on a sample of your images to see what works before you commit to the full build.
- 02
Data and labelling (weeks 2-4)
We collect and label the images needed, covering your real lighting, angles and edge cases.
- 03
Train and test (weeks 4-8)
We train the model, measure accuracy on images it has never seen and fix the weak spots.
- 04
Deploy and monitor
We deploy on the cameras, devices or app where it runs, and watch accuracy as conditions change.
How much does a computer vision system cost?
Cost depends on how many things the model must recognise, how much labelled data exists, the accuracy you need and where it runs, whether on a camera at the edge, a phone or in the cloud. The feasibility step is small and tells you early whether the full project is worth it. You get a fixed quote after a free call and a look at sample images.
Why businesses choose Rinaztec
In-house engineers
The people on your call are the people writing your code. No outsourcing, no hand-offs.
Preview in week one
A working preview link early and weekly demos, so you always see real progress.
Fixed, honest quotes
You approve the plan and budget before we write code. No surprise invoices.
You own everything
Full source code, accounts in your name, no lock-in and no licence fees to us.
Computer Vision Development questions, answered
How many images do I need to train a model?
Often a few hundred labelled images per class is enough to start, thanks to pre-trained models. Harder tasks with subtle defects need more. The feasibility test tells you how many before you spend on labelling.
Can it run without an internet connection?
Yes. Models can run on edge devices next to the cameras, which also keeps video on site.
Can we use our existing cameras?
Usually yes, if the resolution, angle and lighting show what needs detecting. We check this in the feasibility step.
How accurate is AI image recognition?
It depends on the task and conditions. We report accuracy on your own unseen images by class, and set a confidence threshold below which a person reviews the result.
What about privacy when cameras see people?
We design for the privacy law where the cameras are, blur or avoid storing faces where possible, and keep footage on your systems.
Who owns the model?
You do: the code, trained model files and labelled data.
Tell us what you want to build
A free 30-minute call with an engineer. We'll tell you what it takes, what it costs, and whether we're the right fit, even if we're not.