Complex devices are the slowest and least consistent to grade by hand. In one customer deployment, fifteen operators inspected headphones one at a time under a light, searching for micro scratches, dust, and small marks. Results varied from operator to operator, and inspection became the bottleneck for the entire repair flow. OptiZ automated the inspection, increasing throughput and delivering consistent quality on every device.
OptiZ: Robotic inspection and 3D defect mapping for complex devices
OptiZ grades headphones and other complex devices with a robot that moves the cameras through the same path for every unit, under a controlled light dome. Each defect is marked on a 3D model, so operators go straight to the fix.
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3D
Defect mapping
Every area needing attention, marked on a model
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3
Sites
Deployed after a successful trial
Each surface of a complex device presents its own inspection challenge. Curved lenses, internal and external cameras, seams, and coatings can conceal defects that go unnoticed until the device reaches the next customer, and two inspectors can look at the same lens and disagree. Manual inspection of complex devices realistically delivers:
- Large operator teams just to keep inspection moving
- High variation from operator to operator
- Throughput that limits the rest of the repair flow
- Disputes between grading and rework over what actually needs fixing
With OptiZ, every device follows the same robot path under the same light, and each defect is pinned to a 3D model before anyone picks up a tool.
- Robotic camera paths The robot moves the cameras through a defined sequence and repeats the exact path for every device, reaching angles operators can’t see.
- Precision lighting A controlled light dome lights each surface in a precise pattern, so defects hidden by lenses and coatings show up consistently.
- A 3D defect map OptiZ builds a 3D model of every device and marks each area that needs attention. Operators rotate it on a touch display and go straight to the fix, with fewer disputes between grading and rework.
- One platform for new device families The robot path adjusts to new shapes, grading logic updates per commodity, and adaptive grippers handle devices warped from use. The grading model is trained across headphones, laptops, glasses, and consumer devices, so new programs ramp faster.
- A clean cabinet Positive air pressure keeps dust out, so every mark the cameras find is a real defect.
- Data for parts planning Grading data shows which parts wear out most often, improving forecasts and reducing last-minute procurement.
OptiZ video
How OptiZ works
Load
The operator places the device into a fixture on a slide-out tray and slides it into the cabinet, positioned precisely for inspection.
Scan
The robot runs high-resolution cameras through a fixed sequence under a controlled light dome, capturing every surface.
Map
OptiZ builds a 3D model of the device and marks every area that needs attention.
Act
AI grades against your exact specification. The operator reviews the defect map, completes the cosmetic work, and sends the device forward.
The Optiline family
Every Optiline machine runs on the same grading platform, with AI trained on real returns and synthetic defects from NVIDIA Omniverse, grading logic you configure to your own standard, and a record of every decision. Each machine is built for one kind of device.
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Ready to automate your most complex inspections?