Computer Vision & Industrial AI

Hand counting, inspection and auditing over to the camera — the output is live data written into your ERP, not a report.

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12
Ready use cases: Faz 0
Feasibility before investment: ERP
Results written into your system

Does this sound familiar?

Counting takes days and the warehouse stops during it.

System stock does not match shelf stock and nobody knows where the gap comes from.

Quality control is sample-based and defects surface at the customer.

Cameras exist but are only used to review footage after the fact.

Field inspections are on paper and the data cannot be analysed.

What we do

Automated stock counting

Product recognition and counting from shelf or pallet images, written straight into the ERP.

Quality control

Detection of scratches, deformation, missing parts and colour deviation, with alerts or line stop.

Shelf and planogram audit

Planogram compliance, empty shelves and price tag errors.

Plate and vehicle recognition

Gate logging, weighbridge and dispatch matching, automatic barrier.

Safety monitoring

Helmet and vest usage, restricted-zone entry, fall detection with instant alerts.

Document and label reading

Reading waybills, invoices and labels, creating records automatically.

Modules and phases

Discovery and feasibility	Accuracy test on sample images, environment and camera analysis	Faz 0
Data collection and labelling	Building a training set from your own products	MVP
Model training and validation	Measured against an accuracy target and acceptance criteria	MVP
Mobile / camera app	Field usage, offline mode, result confirmation	MVP
ERP integration	Turning counts into stock movements	Faz 2
Monitoring and improvement	Accuracy tracking and feeding failures back into the model	Faz 3

Frequently asked questions

Are our existing cameras enough?+

In most scenarios yes. We test with sample images during discovery and recommend repositioning or extra hardware only if needed.

What accuracy can we expect?+

It depends on product variety, lighting and angle. That is why we run a paid feasibility first, measure real accuracy and put the acceptance criterion in the contract.

Does our data leave the premises?+

Not necessarily. The model can run on your own servers so images never leave the site.

How long until it is live?+

Feasibility takes 2–3 weeks; a single-scenario pilot is usually live in 8–12 weeks.

Book a Meeting

Pick a time that suits you. In a 30-minute first call we listen to your needs and discuss how to move forward.