Computer vision for checks that a person currently does by eye
We build systems that read or check images, video, and scanned documents. That can mean counting items, spotting defects, reading labels and forms, or flagging frames for a person to review.
Every model is tested on samples from your own cameras or scans, and its accuracy is reported before it goes into use.
Based in Lahore, we work with businesses across Pakistan and internationally.
Test on your images before promising anything
Vision models perform differently on every camera, lighting condition, and document format. So we start with samples: a few hundred images or pages from your own setup, labeled with your team, and a first model tested on them. That test decides whether the project is worth continuing and what accuracy to expect.
In use, the system handles the clear cases and sends the uncertain ones to a person. The threshold between the two is set with you and adjusted from the review queue.
Quick answers
What can it check?
Counts, visible defects, labels and text, document fields, and events in video. We confirm what your images support after testing samples.
How accurate is it?
It depends on the images and the task. We test on your samples and report the accuracy before use, and uncertain cases go to a person.
Does it need special cameras?
Often not. Existing cameras or scanners are tested first, and we say if the image quality is the limiting factor.
What a computer vision project can include
Sample review
Collect and label samples from your cameras or scans with your team.
Model testing
Train or configure a model and report its accuracy on held-out samples.
Integration
Connect the model to the camera feed, scanner, or document store, and to the system that records results.
Review queue
Route uncertain cases to a person, with the image and the model's reading shown.
Monitoring
Track accuracy in use and retrain when conditions change.
Models chosen for the task and tested on your images
Vision work ranges from off-the-shelf document readers to models trained on your own labeled samples. We recommend the approach after the first test, and the model can run in the cloud or on a device on site.
- Document reading: Optical character recognition and form field extraction
- Image and video: Detection, counting, and classification models trained on your samples
- Deployment: Cloud, on-premises, or on-device where the network or privacy requires it
- Review: A queue for uncertain cases, with the reading shown
Vision models
Reading and OCR
Deploy and safety
Compare two scenarios for time spent on visual checks
Enter your own figures to compare the hours your team spends on visual checks now with a second scenario you choose. This shows the arithmetic difference between the two; it does not forecast what a vision model will achieve.
These figures compare only the assumptions you enter. They do not include the cost of the build, and they do not predict time savings.
Define the check
Agree what is being counted, read, or spotted, and what happens with the result.
Collect samples
Gather and label images or pages from your own setup.
Test a first model
Train or configure a model and report its accuracy on held-out samples.
Integrate and review
Connect to the feed and the recording system, and set up the review queue.
Deploy and monitor
Go live, track accuracy, and retrain when conditions change.
Where visual checks take the most time
Manufacturing and packing
Count items and flag visible defects on a line or at dispatch.
Logistics
Read labels and documents at receiving and dispatch.
Back offices
Extract fields from scanned forms, invoices, and identity documents.
Facilities and retail
Flag events in video for a person to review, such as an empty shelf or a blocked exit.
Let the system handle the clear cases
Most visual checks are repetitive, and the person doing them is needed for the unusual ones. A model that handles the clear cases and sends the rest to a review queue keeps the judgment with people and takes the repetition away. Accuracy is reported so the team knows what the model can be trusted with.
- Tested on your own samples first
- Accuracy reported before use
- Uncertain cases reviewed by a person
- Runs in the cloud or on site
Computer vision pricing
Our pricing page does not list a separate starting price for computer vision. Projects are quoted after the sample test, which sets the scope, the model approach, and the integration required. Hosting and device costs are separate.
Computer Vision: your questions
Do we need to collect training data?
How accurate will it be?
Can it run without an internet connection?
Can it read handwriting?
How much does computer vision cost?
Do you work with businesses outside Lahore?
Tell us about the check
Describe what a person currently checks by eye and how many items or pages a day. We will tell you whether a vision model is a practical fit and what a first test would involve.