Remote Machine-Vision Inspection With Centralized Quality Metrics
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Solution Overview
Problem
Traditional machine-vision systems operate as autonomous cells, limiting data sharing and remote access, requiring local operators for software updates, and lacking comprehensive quality inspection capabilities due to communication and storage constraints.
Innovation Solution
A machine-vision system that integrates a controller, vision server, and remote terminal over data networks to collect, analyze, and store image data, enabling remote monitoring and control of multiple inspection stations with expandable storage and dynamic analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional autonomous-cell machine-vision systems are used, then each inspection station can operate independently with simple local processing, but data sharing between stations is limited and remote access is not supported
Solution Approach 1:
The patent merges multiple autonomous inspection stations into a unified networked system where controllers communicate with a central vision server. This allows data from multiple stations to be aggregated and shared while maintaining the reliability of individual inspection operations. The vision server consolidates measurement data from multiple controllers, enabling comprehensive quality analysis across the production line.
Solution Approach 2:
The vision server provides universal access to inspection data through multiple interfaces and protocols. It can receive data from different types of controllers and inspection stations, process various image formats, and provide remote access through web browsers or dedicated terminals. This multi-functionality enables the system to serve multiple purposes: local control, data archiving, remote monitoring, and cross-station analysis.
2Measurement precision
If high-resolution digital cameras are used to acquire product images, then measurement precision is improved, but the amount of image data increases making communication and storage difficult
Solution Approach 1:
The system extracts only the essential measurement data from the full image data for transmission and storage. The controller performs initial image processing and extraction of key measurement parameters (dimensions, positions, defects) before sending this condensed data to the vision server. This reduces the data volume significantly while preserving the measurement precision needed for quality inspection.
Solution Approach 2:
The patent transforms the data representation from two-dimensional image data to one-dimensional measurement parameters. Instead of transmitting and storing complete high-resolution images, the system converts image information into quantitative measurements (lengths, areas, positions) that occupy less storage space while maintaining the analytical value for quality assessment.
3Reliability
If multiple inspection stations are distributed throughout production lines, then comprehensive quality monitoring is achieved, but the complexity of monitoring and aggregating data from multiple systems increases
Solution Approach 1:
The vision server acts as an intermediary between multiple inspection station controllers and the user interface. It receives data from various controllers through standardized protocols, performs centralized processing and aggregation, and provides unified access to remote terminals. This mediator role simplifies the overall system architecture by eliminating the need for complex peer-to-peer communication between controllers.
Solution Approach 2:
The system standardizes data parameters across multiple inspection stations by implementing common communication protocols and data formats. The vision server normalizes measurements from different stations into a unified parameter structure, enabling easy aggregation and comparison. This parameter standardization reduces the complexity of integrating data from heterogeneous inspection systems.
4Ease of operation
If local operators are required for software updates and maintenance, then system control is simplified, but the ability to remotely update and control inspection stations is lost
Solution Approach 1:
The vision server provides self-service capabilities for system maintenance and updates. Remote terminals can initiate software updates, configuration changes, and diagnostics without requiring physical access to inspection stations. The system automatically manages update deployment across multiple controllers, reducing the need for operator travel and manual intervention while maintaining operational simplicity.
Data Source
AI summary
A machine-vision system for monitoring a quality metric for a product. The system includes a controller configured to receive a digital image from an image acquisition device. The controller is also configured to analyze the digital image using a first machine-vision algorithm to compute a measurement of the product. The system also includes a vision server connected to the controller, and configured to compute a quality metric and store the digital image and the measurement in a database storage. The system also includes a remote terminal connected to the vision server, and configured to display the digital image and the quality metric on the remote terminal.