Centralized Visual Inspection Analytics Across Production Lines

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Solution Overview

Problem

Current visual inspection solutions for production lines are highly customized, expensive, time-consuming to set up, and require expert maintenance, limiting their deployment and preventing comprehensive data analysis across multiple systems.

Innovation Solution

The deployment of simplified visual inspection systems with multiple automated visual inspection appliances (VIA) connected to a centralized data collection and analytics server (DCAS), which gathers and analyzes data to determine production trends, improve quality, and enhance productivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If highly customized visual inspection solutions are deployed for production lines, then inspection quality and precision are improved, but system complexity, cost, and setup time increase significantly

Engineering Contradiction:
Improveinspection qualityVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the inspection functionality into standardized modular appliances, each capable of independent operation but easily integratable with others. This allows high inspection quality through specialized modules while reducing overall system complexity through standardization interfaces and protocols.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates universal inspection appliances that can perform multiple inspection functions across different production lines and product types. These standardized appliances with common communication protocols eliminate the need for highly customized solutions, reducing complexity while maintaining inspection precision through configurable parameters.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If highly customized visual inspection solutions are deployed, then inspection precision is improved, but deployment cost and setup time increase

Engineering Contradiction:
Improveinspection precisionVSAvoidsetup time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The inspection appliances are pre-configured with standardized hardware and software architectures, communication protocols, and inspection algorithms during manufacturing. This preliminary preparation eliminates time-consuming on-site customization and integration work, allowing rapid deployment while maintaining inspection precision through pre-validated configurations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses standardized, off-the-shelf camera modules, lighting components, and processing units that can be quickly deployed and replaced. These standardized components reduce setup time and cost compared to custom-built inspection systems, while maintaining sufficient inspection precision for most applications.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

3Adaptability or versatility

If multiple disparate inspection systems are used across a plant, then inspection coverage is improved, but data integration and centralized analysis become difficult

Engineering Contradiction:
Improveinspection coverageVSAvoidintegration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

All inspection appliances use standardized communication protocols and data formats, enabling seamless integration across multiple systems. This universality allows the plant to deploy numerous inspection appliances for comprehensive coverage while maintaining simple centralized data collection and analysis through uniform interfaces.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces a standardized data interface and communication protocol layer that acts as an intermediary between diverse inspection appliances and the central analysis system. This intermediary layer translates various inspection data formats into a unified structure, enabling comprehensive inspection coverage across multiple systems without integration complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Measurement precision

If highly customized inspection solutions are deployed, then inspection accuracy is improved, but ease of operation and maintenance decrease

Engineering Contradiction:
Improveinspection accuracyVSAvoidease of maintenance
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The inspection system is divided into independent, standardized modular appliances that can be operated and maintained separately. Each module maintains inspection accuracy through standardized calibration procedures, while the modular architecture simplifies operation and maintenance by isolating faults to specific units without affecting the entire system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system maintains inspection accuracy through standardized parameter configurations and calibration procedures that can be easily adjusted through software interfaces. This approach allows operators to modify inspection parameters without physical reconfiguration, improving ease of operation and maintenance while preserving inspection accuracy.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12340493B2Centralized analytics of multiple visual inspection appliances
Publication Date: 2025.06.24 SIEMENS AG
  • US12340493B2 patent drawing
  • US12340493B2 patent drawing
  • US12340493B2 patent drawing

AI summary

A visual inspection data collection and analysis system comprising: a plurality of visual inspection appliances (VTA) configured to inspect and acquire visual inspection data relating to inspected items; and a data collection and analytics server (DCAS) configured to receive information comprising the visual inspection data from the multiple VIAs and to analyze the received information to form a big data analysis. The VIAs are adapted for detecting defects or gating or counting the inspected items without the involvement of the DCAS.