Computer vision development services for video and images
Our computer vision development services turn camera feeds, match footage and product photos into counts, alerts and records your team can act on. We build systems that detect, track and count people, vehicles, products or defects, test them on your own footage against measures agreed in advance, and connect the results to the software you already use.
What computer vision development services include
Computer vision is software that reads images and video the way a trained person would, frame after frame, without getting tired. A model finds the things you care about, such as a player, a pallet, a parked car or a scratch on a part, marks where they are and follows them as they move. The output is data rather than footage: counts, positions, times and flagged images that someone can check in seconds.
We start from the decision the system should support, not from the model. Some jobs need a proven open model set up carefully; others need a model trained on your own labeled images. If a barcode scanner, a door sensor or a simple form would do the job more reliably, we tell you before you spend money on cameras or training.
Signs computer vision fits
- Someone watches footage or photos to count or check things
- You record video that nobody has time to review
- Visual checks vary from person to person
- You need counts, times or positions from your camera footage
- Problems are spotted too late to fix cheaply
What’s included in our computer vision development services
From the first labeled image to a model running on your cameras, plus the checks that keep it accurate.
Use case and data review
We study your footage or images, the decision they should support and how accuracy will be judged, then recommend an approach in writing.
Data labeling
Images and video frames labeled to a written guide, with a share checked twice so the training data stays consistent.
Model training
Detection, tracking, counting or classification models trained on your data, starting from proven open models where they fit.
Accuracy testing
Results measured on footage the model never trained on, broken down by camera, lighting and the cases that matter most.
Cloud or on-site deployment
Runs in the cloud, on a server at your site or on a small device beside the camera, chosen for speed, cost and privacy.
Dashboards and alerts
Counts, events and flagged images sent to a dashboard, your existing software or a message to the right person.
Computer vision development in depth
Three things decide whether a vision system can be trusted with real decisions.
How accuracy is measured and agreed
Accuracy is never one number. A model can find almost everything and still raise too many false alarms, or raise few alarms and miss the cases that matter. Before training starts, we agree with you which mistakes cost more, set aside a test set of your own images that the model never learns from, and write down the measures it must reach for each camera and condition: how many real items it finds, how many of its alerts are right and how close its counts come to a manual count. You see the results on that test set before launch and again on live footage during the pilot, so the bar is set in advance.
Tested in real conditions
Models that look good on clean images often struggle with glare, night footage, rain, motion blur or crowded scenes. We collect examples from each camera and time of day, label the hard cases on purpose and test against them. Where image quality is the real problem, we may recommend moving a camera, adding light or raising the resolution before more training.
Privacy built in
Video often shows people who never asked to be measured. We design each system to keep only what the job needs: counts and positions instead of faces, blurred or cropped images, short retention and access limited to named staff. Processing can run on your own hardware so footage never leaves the site, and we follow the data protection approach your legal adviser confirms.
How our computer vision development works
A proof of concept on your own footage first, then a pilot, with a progress update every week and a monthly report.
- Step 01
Discovery
The decision, the cameras, the data you have and the accuracy measures agreed, with a scope and a price.
- Step 02
Proof of concept
A first model tested on a slice of your footage, so you see what is realistic before a larger build.
- Step 03
Build and pilot
Training on more labeled data, then a pilot on live cameras checked against the agreed measures.
- Step 04
Launch and monitor
Rollout to every camera, accuracy checked over time and the model retrained when conditions change.
Why Griffon for computer vision development
One team plans the system, labels the data, trains the model, builds the dashboard and connects it to your website, apps or CRM. We judge the work by the measures agreed on your own footage, and we say early if cameras are not the right fix.
Once the work is paid in full, the code, the trained model and the accounts it runs in are yours. You can keep the system running with us, take it in-house or hand it to another team.
Part of our AI development ↗2 hours
our usual reply to a new inquiry, one business day at most
Weekly
progress updates, plus a monthly report with the data and the work done
One team
strategy, design, development and marketing under one roof
You own it
the design, code and accounts are yours once the work is paid in full
Questions about computer vision development, answered
What do computer vision development services cover?
Planning, data labeling, model training, testing and deployment of software that finds, tracks or counts things in images and video, plus the dashboard or alerts that put the results in front of your team.
How accurate will the system be?
It depends on your footage and the task, so we do not quote a figure before seeing your data. We agree the measures and targets with you, test on footage the model has never seen and share the results before launch.
Can it use the cameras we already have?
Often, yes. We review footage from each camera first. If the angle, lighting or resolution is too poor for the task, we say so and suggest the smallest change that fixes it.
Does our footage have to leave the site?
No. Models can run on a server or small device at your site and send only counts or events. Cloud processing is an option when it is simpler and your policies allow it.
Who owns the model and the data?
You do. Your images and video stay yours, and the code, trained model and accounts are yours once the work is paid in full.
Get a free AI consultation
A 30-minute call. No deck, no pressure. Bring the site, the numbers and the goal, and leave with a plan and a price.