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shaperk

Industrial Computer Vision

Factory floors and field sites are not benchmark datasets. We build vision systems that cope with glare, dust, vibration, occlusion and changing product mixes, and we keep them accurate after deployment.

Engineer working at a laptop beside an automation test rig with sensors and wiring

Capabilities

S-03.1

Object detection

Detection models tuned for small, fast-moving or densely packed objects, with calibration for metric measurement where needed.

S-03.2

Instance segmentation

Pixel-accurate masks for measurement, pick-point selection, area estimation and precise defect localisation.

S-03.3

Multi-camera tracking

Calibrated multi-view systems that track parts, people or vehicles across zones with consistent identities.

S-03.4

Scene understanding

Zone monitoring, state recognition and event detection that convert pixels into operational signals.

What you can expect

Engineering commitments

  • Models validated on your real operating conditions
  • Data and retraining workflow handed over, not locked in
  • Measurable accuracy targets agreed before build

Typical deliverables

  1. 01Data collection & labelling plan
  2. 02Model development & validation
  3. 03Multi-camera calibration
  4. 04Vision application & APIs
  5. 05Monitoring & retraining workflow

Engineering consultation

Have a process that needs to see, decide and act?

Tell us about the parts, signals or images you work with. An engineer, not a salesperson, will reply with an initial assessment of feasibility and next steps.