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Product Studio · Computer Vision

AI that sees
what your team checks.

Auragenic Solutions builds computer vision systems that detect, recognise and inspect: face recognition attendance, vehicle and structural damage detection, shelf compliance, OCR and sports analytics. Trained on real-world data and fast enough for live camera feeds.

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Use cases

Where it pays off.

  • 01Face recognition attendance from CCTV
  • 02Vehicle damage detection for insurance claims
  • 03Crack and structural damage inspection
  • 04Retail shelf and planogram compliance
  • 05Business card and document OCR
  • 06Sports and movement analysis from video
How we build it

From idea to production.

01

Collect & label

Real images from your environment, annotated and augmented.

02

Train

Deep learning models with transfer learning for accuracy on your data.

03

Optimise

Fast inference for cloud, mobile or edge devices.

04

Integrate

APIs, dashboards and alerts into your existing workflow.

PythonPyTorch / TensorFlowYOLO & CNNsOpenCVEdge deployment
FAQ

Questions we get a lot.

Can it use our existing cameras?

Usually yes. Our attendance system, for example, runs on existing CCTV feeds.

How accurate is it?

It depends on the task and data. Our vehicle damage model reached up to 92% detection accuracy.

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Got an idea?
Let's build it.

Tell us what you're trying to launch or grow. We'll reply within one working day with a clear plan and a price.