Electronics

2D random picking of telecom lenses

Handling small glass lenses for optical fibers has traditionally relied on manual labor due to the extreme precision required. However, automation has been made possible with Pytagoras, Eureka Robotics’ ultra-high-precision random bin picking technology.

Process

Plano-convex glass lenses, less than 0.8 mm thick, are placed randomly in a basket with varying orientations.

Using Eureka’s 2D image recognition technology, a robot identifies and picks up each lens individually, then inserts it into a cleaning jig with a clearance precision of 0.2 mm.

After cleaning, the lenses are automatically placed into shipping boxes with a positional accuracy of 0.5 mm, ready for shipment.

Challenge

  • Extreme precision requirements: Lenses are extremely small and thin, making handling difficult for both humans and conventional automation.
  • Random orientations: Lenses are scattered in various positions, complicating reliable recognition and picking.
  • Risk of damage: Improper handling could scratch or break delicate optical components.
  • High throughput demands: 5G infrastructure requires handling at a scale not feasible with manual labor alone.
  • Solution

  • Ultra-high-precision random bin picking: Eureka’s Pytagoras technology enabled accurate recognition and handling of randomly placed tiny lenses.
  • Advanced 2D image recognition: Allowed consistent identification of small plano-convex shapes under varied orientations.
  • Sub-millimeter accuracy: Achieved 0.2 mm precision for insertion and 0.5 mm placement accuracy for packaging.
  • High-speed automation: Reduced cycle time to just 4 seconds per lens, enabling continuous and reliable throughput.
  • Outcomes

  • Automation of previously manual processes, reducing reliance on skilled labor.
  • Throughput of 900 lenses per hour, supporting mass production requirements for 5G optical components.
  • Consistent quality and reliability, with precise handling reducing risk of defects.
  • Scalability for future growth, making the solution suitable for high-volume manufacturing in telecommunications.
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