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Computer Vision Solutions
Automated visual inspection, counting and recognition — running on your camera feeds, at the speed of the line.
- Video processing
- Real-timeVideo processing
- Or cloud deploy
- EdgeOr cloud deploy
- Accuracy per class
- MeasuredAccuracy per class
What's covered
- Object Detection
- Image Recognition
- Quality Inspection
- Video Analytics
Talk to a specialist
Tell us what you are trying to move and we will send back a scoped plan — no pitch deck, no obligation.
Replies within one business day
Overview
What Computer Vision Solutions means here
Anywhere a person currently looks at something and makes a judgement — is this part defective, how many boxes are on that pallet, is anyone in the restricted zone — computer vision can usually do it faster, continuously, and without fatigue.
We build these systems against your actual footage, not a public dataset. That means collecting and labelling images from your environment, with your lighting, your camera angles and your edge cases, then training and validating on a held-out set so the reported accuracy means something.
Deployment fits the constraint: on-device at the edge where latency or connectivity matters, in the cloud where it does not. Either way you get per-class accuracy figures, a review path for uncertain detections, and integration with the systems that need to act on the result.
What you get
Everything included
The full scope of a standard engagement. Anything outside it is quoted before we start, never after.
- Use-case definition and feasibility assessment on your footage
- Image collection and labelling from your environment
- Model training tuned to your conditions and edge cases
- Validation with per-class accuracy reporting
- Real-time inference pipeline for image or video
- Edge or cloud deployment to suit the constraint
- Alerting and integration with your existing systems
- Monitoring, retraining and drift detection
Why it works
Built around the outcome
Inspection without fatigue
Defect detection at line speed, at hour eight of a shift as reliably as hour one.
Counting and tracking
Inventory, footfall and object counting from existing camera feeds.
Safety monitoring
PPE compliance and restricted-zone alerts raised the moment they occur.
Runs at the edge
On-device inference where latency, bandwidth or connectivity rules out the cloud.
Validated honestly
Per-class accuracy on a held-out set, with uncertain detections routed for review.
How we deliver
From brief to results
The stages every computer vision solutions engagement moves through, and what happens in each.
- 01
Assess
Test feasibility on your real footage before anyone commits to a build.
- 02
Collect
Gather and label images covering normal cases and the awkward ones.
- 03
Train
Train and validate on a held-out set, reporting accuracy per class.
- 04
Deploy
Ship to edge or cloud, integrate alerts, and monitor for drift over time.
Good fit
Good fit
Who this is for
- Manufacturers inspecting products by eye
- Warehouses counting stock manually
- Retailers wanting footfall and shelf analytics
- Sites that need automated safety and compliance monitoring
Tools we work with
We build on established platforms rather than anything proprietary, so you keep full ownership and can take the work elsewhere at any time.
PyTorchYOLOOpenCVAWS RekognitionNVIDIA JetsonPythonPyTorchYOLOOpenCVAWS RekognitionNVIDIA JetsonPython
PythonNVIDIA JetsonAWS RekognitionOpenCVYOLOPyTorchPythonNVIDIA JetsonAWS RekognitionOpenCVYOLOPyTorch
Loved by clients
Loved by clients
Don't just take our word for it
Real results, in the words of the founders and teams we've partnered with.
“Kashavi rebuilt our funnel and doubled qualified pipeline in a quarter.”
Ava Thompson
VP Marketing · Northwind
“The most data-driven agency we have worked with — no fluff, just results.”
Daniel Cruz
Founder · Lumen Labs
“Kashavi rebuilt our funnel and doubled qualified pipeline in a quarter.”
Ava Thompson
VP Marketing · Northwind
“The most data-driven agency we have worked with — no fluff, just results.”
Daniel Cruz
Founder · Lumen Labs
FAQ
FAQ
Computer Vision Solutions questions
The things prospective clients ask us most often about this service.
It varies with the task. Simple detection with distinct classes can work from a few hundred labelled examples; subtle defect detection may need several thousand. We assess on your footage before quoting.
Related
Often paired with this
These work well alongside it — and cost less to run together than to bolt on later.
Free strategy call
Ready to start with Computer Vision Solutions?
Tell us where you are today and what you need computer vision solutions to achieve. We will come back with a scope, a timeline and a price — usually within one business day.
Replies within one business day · No commitment