Object Tracking and Edge Case Detection

Object Tracking and Edge Case DetectionAbstract background shapes

4x

assembly line efficiency

Decrease

in overall project costs

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GOAL

A major German OEM wanted to improve their quality inspection process on the assembly line by implementing cameras, instead of humans, to detect issues before the vehicles left the factory.

WORKFLOWS

Sama teams annotated each object of interest (e.g. logo placement, screw placement, series numbers) with bounding boxes and polygons to track objects between frames.

They then evaluated outputs to ensure irrelevant elements were successfully masked and key parts of each vehicle were accurately segmented.

RESULTS

Sama achieved a 99% acceptance rate and helped the OEM:

  • Increase assembly line efficiency by 4x
  • Decrease rework and errors on vehicle orders
  • Reduce total cost of ownership by eliminating project delays and revisions

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