Systems · Inspection & guidance
Machine vision
Vision systems that check every part, measure what matters and tell a robot where to pick, chosen and tuned for your parts, your lighting and your line speed.
Discuss a project
Day one
The questions we ask before we draw anything
If you can answer these, we can usually tell you within a week whether it is worth automating, and roughly what it takes.
- 01What exactly makes a part a reject? Can we have good and bad samples?
- 02How fast is the line, and how far apart are the parts?
- 03What is the light like where the camera will sit?
- 04What should happen to a reject, and who needs to know?
- 05Do you need every result logged for traceability?
Where it fits
What it does on your line
Defect inspection
Scratches, missing features and wrong parts caught at line speed.
Measurement
Dimensions and positions checked against tolerance on every part.
Robot guidance
Parts located on a conveyor or in a bin so the robot picks them first time.
Code reading
Barcodes and data-matrix codes read for traceability.
Our scope
Everything from first study to handover
- Feasibility tests on your sample parts
- Camera, lens and lighting selection
- Inspection and guidance programs
- Reject handling
- Integration with the PLC and robot
- Commissioning and tuning
Automotive
Engine test benches
Renault, Nissan, Tata Motors, Ashok Leyland, Daimler, Honda, Indian Railways
Automotive
BS4 to BS6 special-purpose machines and robotic material handling
Ford, Tata Motors, Renault, Nissan, Bosch
Electronics
Assembly automation for phones and televisions
Samsung, Oppo, Foxconn, Schneider Electric, Intel, TCS, HCL
Pharma and diagnostics
Automation for COVID test-kit and vaccine production
Bigtec, Molbio, Schott Kaisha
Platforms
Let’s build it.
A line to automate, a machine to control, a robot to build. Tell us what you are running.
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