VOLUMETRIC INSPECTOR

TEST IT FOR FREE

This solution analyses up to 120 parts per minute and helps to detect 95% of scrap from defective parts and is able to classify parts by model and reject unknown parts.

Project: ZDZW

Publisher: FRAUNHOFER, UPV, ITI

Technology: AI tools, 3D Camera

Industry: Multi-sector_transforming industries_ie automotive

INTRODUCTION

The Volumetric Inspector Solution uses various quality techniques to analyze and compare products with expected 3D shapes, detecting deviations and defects that may affect final product quality. AI tools help learn the expected shape and geometric tolerance measurements.
The solution analyzes and validates dimensions, while detecting geometrical defects like tears and dents. This in-line camera-based inspection helps prevent defective pieces from integrating into the final product, reducing waste and energy consumption.

FEATURES/BENEFITS

  • Features:
    • Inline inspection 
    • Captured object alignment 
    • Shape comparison 
    • Deviation evaluation

 

  • Benefits
    • Possible to measure and detect trends error before they appear 
    • Cost reduction: No down-time (just loading calibration line) and no maintenance.
    • The inspection system is NOT subject to human error.
    • Part classification, avoiding product specific solutions (part positioning and fixture exchange)

TECHNICAL INFORMATION

This solution has been developed to work in the production line, which allows the instant capture of the image of the object (in real time) and does not require reconfiguration when changing the part to be inspected

RESOURCES

  • SUCCESS STORIES
    • Automotive sector manufacturer with the next problems: 
      • The standard process was sampling 20% of the production 
      • They use manual process to check complex measures, so it is hard to ensure precision or accuracy
      • They have measure deviation problems due to the manufacturing machines misscalibration.  
    • With the Volumetric Inspection Solution we solve the previous problem achieving these objectives: 
      • Whole production was inspected using inline process 
      • Measure deviation problems can be predicted using trending KPIs 

USE CASE

SERVICES LINKED

PUBLISHERS