• Industry > Electronics
  • Application > Inspection
  • Sector > Manufacturing

Project Overview

This solution utilizes the Pickit 3D Vision for bin picking and robot guidance. Without 3D vision, approximately 10% of parts fall over or shift during internal transport, making it impossible for the robot to pick them from their original positions. The Pickit 3D vision system enables the robot to detect, extract, and place parts even when they are oriented in specific directions.

Project Background & Objectives

  • Automated Picking: Enabling the robot to pick items without manual re-alignment by humans.

  • Consistent Dispensing: Maintaining uniform application tasks even if the position of heavy workpieces shifts.

  • Defect Minimization: Minimizing the defect rate through precise positioning.

Components

Robot

3D Vision Performance

Pickit L

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 300ms

  • Resolution (pixels): 640x480

  • Precision (mm): 1.0 - 3.0mm

  • Accuracy (%): 1.2%

  • Accuracy (mm): 4 - 18mm

  • Estimated Picking Accuracy: 1.5 - 2 x 3D Camera Accuracy

  • Weight: 1030g

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Pickit M-HD

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 200-1000ms

  • Resolution (pixels): 1920x1200

  • Precision (mm): 0.15 - 0.8mm

  • Accuracy (%): 0.75%

  • Accuracy (mm): 2 - 4mm

  • Estimated Picking Accuracy: 1.5 x 3D Camera Accuracy

  • Weight: 2kg

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Pickit L-HD

  • 3D Measurement Method: Infrared Structured Light

  • 3D Image Acquisition Time: 200-1000ms

  • Resolution (pixels): 1920x1200

  • Precision (mm): 0.3 - 1.6mm

  • Accuracy (%): 0.75%

  • Accuracy (mm): 3 - 7mm

  • Estimated Picking Accuracy: 1.5 x 3D Camera Accuracy

  • Weight: 2kg

  • Connection (Camera to PC): M12–8 (USB) – USB3

  • Connection (PC to Robot): TCP/IP via Ethernet

Workflow

STEP 1.
Workpiece Recognition: Detect the workpiece using the camera.
STEP 2.
Robot Picking: The robot picks up the object.
STEP 3.
Transfer: Move the object to the target location.
STEP 4.
Re-recognition: Re-detect the workpiece using the camera if necessary.

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