Computer vision that turns cameras into answers
We build vision systems that detect, count, inspect and track in real time, on site or in the cloud, and feed every result straight into your operations.
Overview
Most businesses already have the cameras. What they lack is a way to turn hours of footage into decisions: an empty shelf, a worker without a helmet, a scratch on a part before it ships.
Quibo builds computer vision end to end. We collect and label the right data, train and tune models for your lighting, angles and products, deploy them on edge devices or in the cloud, and connect every detection to the alerts, dashboards and systems your team already uses.
We start with one well-defined question, prove accuracy on your own footage, and only then scale across sites. No black boxes: you see exactly how well the system performs before you commit further.
What we offer
- 01
Object detection and counting
Find, classify and count products, vehicles, people or parts in images and live video.
- 02
Visual quality inspection
Spot defects, misalignments and missing components on production lines, with the same standard on every shift.
- 03
Safety and compliance monitoring
Detect missing PPE, restricted-zone entry and unsafe behaviour, with alerts in seconds.
- 04
Document and label vision
Read invoices, forms, labels, number plates and IDs with OCR tuned to your formats.
- 05
Retail and shelf analytics
Measure on-shelf availability, planogram compliance and footfall from store cameras.
- 06
Edge deployment
Run models on site, on compact GPU devices, for low latency and footage that never leaves the building.
- 07
Data labelling and model training
Build labelled datasets, train custom models and report accuracy honestly, with precision and recall on your data.
- 08
Monitoring and retraining
Track performance in production and retrain as products, lighting or layouts change.
How we work
- 01
Frame
We define the question, the cameras and what a correct answer looks like.
- 02
Prove
We label a sample of your footage and prove accuracy before you invest further.
- 03
Deploy
We run models on edge or cloud and connect results to alerts, dashboards and systems.
- 04
Improve
We monitor drift, review misses and retrain so accuracy holds as conditions change.
Related work
All case studiesShelf Intelligence
Store cameras that spot empty shelves and planogram gaps, and tell staff exactly what to restock.
Read case studySiteSafe Vision
PPE and danger-zone monitoring that alerts supervisors within seconds and builds an auditable safety record.
Read case studyInspect AI
Line-side cameras that inspect every part, flag defects in real time and show where quality is slipping.
Read case studyFrequently asked questions
Do we need new cameras?
Often not. Many projects run on existing CCTV or IP cameras. We check resolution, angle and lighting first and recommend changes only where accuracy depends on them.
How accurate will it be?
We measure precision and recall on your own footage during the proof stage, agree a target with you, and only scale once the system meets it.
What about privacy?
We design for privacy from the start: processing on site where possible, blurring faces when identity is not needed, and keeping only the events you need.
Edge or cloud?
Edge suits low latency, limited bandwidth and sensitive footage. Cloud suits heavier models and central analysis. Many systems use both.
Great products start with a single conversation.
Tell us what you are building and we will tell you honestly how we would approach it. No pitch deck needed, and no obligation.
Start a conversation