System and Method for Quality Inspection in the Manufacture of Individual Parts

Publication: DE102018214307A1
Published: 2020-02-27
Family Size: 1
Granted: No

Simple SummaryContent extracted from patent full text and abstract with AI.

This patent describes a system for quality control during the manufacturing of individual parts. It features a computing unit that creates images of the manufactured parts and a neural network that classifies the parts as either fault-free or defective based on these images.

Use CasesContent extracted from patent full text and abstract with AI.

  • Automated quality inspection in component and part manufacturing plants
  • Integration into assembly lines for real-time defect detection
  • Use in industries such as automotive, aerospace, and electronics manufacturing to ensure product quality
  • Retrofitting existing production systems to reduce manual inspection workloads
  • Sorting out defective components before packaging or delivery

BenefitsContent extracted from patent full text and abstract with AI.

  • Increases accuracy and consistency in defect detection compared to manual inspection
  • Speeds up the quality control process, enhancing production efficiency
  • Reduces human error and operational costs associated with manual inspections
  • Enables real-time quality feedback, allowing for quicker adjustments to production processes
  • Improves overall product quality and customer satisfaction

Technical Classifications (CPCs)

Main Classifications

Physics & Measurement

Sub Classifications

Checking-Devices

Computing & Calculating

CPC Codes

G06F30/23G06N3/04G06N3/08G07C3/12

Inventors & Applicants

Applicants

Univ Friedrich Alexander Er

Patent Abstract

Ein System zur Qualitätsprüfung bei der Herstellung von Einzelteilen umfasst eine Berechnungs-Einheit (2) zum Erstellen von Abbildungen (8) der herzustellenden Einzelteile und ein neuronales Netzwerk (3) zur Klassifizierung in fehlerfreie und fehlerhafte Einzelteile auf Basis der Abbildungen (8).

Key Information

Publication No.

DE102018214307A1

Family ID

69412779

Publication Date

2020-02-27

Application No.

DE102018214307A

Application Date

2018-08-23

Priority Date

2018-08-23

Granted

No

Possible Cooperation

For further information please contact the transfer office.