#BinPicking#3DVision#2DInspection#GearToothInspection#RobotSorting#ManufacturingAutomation

Process Overview

This solution is an automated sorting system that combines QRS 2D/3D vision inspection with a DENSO VS robot to pick randomly placed gears, inspect gear tooth geometry, and separate OK parts from NG parts.

With QRS’s in-house vision technology, the system can be tuned and customized to match specific site conditions, enabling precise inspection across various gear shapes and models.

This project was implemented to automate the inspection process after bin picking.

Components

Robot
  • DENSO VS-060

  • 6-axis articulated robot

  • Payload: 4 kg

  • Max reach: 605 mm

  • Weight: 28 kg

  • Repeatability: ±0.02 mm

  • Standard cycle time: 0.35 sec

  • Max tool speed: 9,390 mm/s

  • Dustproof/clean option available

Peripherals
  • Tool: Electric gripper

  • Vision system: QRS Q3D-IS (near-field type)

  • Gear position recognition: 3.2MP, 2048 × 1536 pixels

  • Sensing method: Structured light

  • Scanning range: 176 × 132 to 706 × 529 mm (area)

  • Measurement distance: 300 / 600 / 1200 mm

  • Supports color / shape / edge recognition and image correction

  • QRS Q2D: 2D inspection (deep learning algorithm included)

  • Alignment: Sorting and inspection based on product geometry

  • Measurement: Shape, length, weld bead thickness, and other dimensional measurement available

  • Inspection: Shape, defects, missing parts, color, sequence inspection available

  • Compatible robot brands: HYUNDAI, NACHI, EPSON, DENSO, YASKAWA, STAUBLI, FANUC, KUKA, UR, etc.

  • Work cell, robot base

  • Inspection result display monitor (QRS)

  • Sorting rack

Workflow

STEP 1.Detect the target gear in a randomly stacked bin using 3D vision
STEP 2. pick the detected gear and perform OK/NG inspection using 2D vision
STEP 3. unload and sort to designated locations based on the inspection result

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Gear Tooth Profile Inspection Using DENSO + QRS Vision

Implementing Company
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Estimated Project Duration
0week
Robot Model
-

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