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