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Advances in Machine Vision Systems
Frost & Sullivan, July 2005
Machine Vision Systems Witness Increase in Uptake
Machine vision systems are emerging as a superior alternative to human labor in process and quality control and are extremely sought after to create lean and flexible manufacturing systems. With its ability to deliver high accuracy while ensuring throughput on the production line, vision systems also serve as efficient quality control tools. The need to enhance automation standards is making these systems a necessity for inspection and grading of products, electronic documentation, robotic guidance, autonomous guidance, and scientific imaging. Emerging trends in field of sensors, embedded systems, illumination methods, and camera and laser technology are expected to contribute immensely to the future growth of machine vision systems.
This Technical Insights study focuses on technological advancements, trends, market drivers and industry challenges affecting the machine vision systems. The areas of technology that have been discussed are as follows: architectures by which vision systems are built, machine vision cameras, advanced imaging and image processing techniques, infrared imaging, robotics, artificial intelligence and vision. The study also profiles key developments that are believed to have a phenomenal impact on future advances and enables companies to align their positioning strategies to benefit from the changing technologies.
Upgradeability Necessary to Increase Acceptance of Machine Vision Systems
Easy installation operation and maintenance are crucial and operator training is gaining importance to boost adoption rates of machine vision systems across a broad spectrum of industries. Installation and commissioning of machine vision systems usually result in significant costs and therefore, greater flexibility for future upgrades becomes vital to ensure better return on investment for the end user.
End users are also attempting to make a futuristic investment in vision systems, choosing judiciously from a range of products, which differ in cost and functionality. A healthy marketing system that focuses on the versatility of the vision system and its ability to accommodate advanced functionality is a necessity in many cases, says the analyst of this research service.
Machine Vision System’s Architectures Need to Offer Cost Optimization and High Performance Capabilities
The trends in machine vision system’s architectures are toward faster and compact systems that strike the right balance between cost and capabilities. Current machine vision architecture is moving away from PC-based systems to smart cameras and intelligent cameras that come with a built in image sensors and processors. While PC-based machine vision systems consist of multiple discrete components and are more difficult to install, smart cameras are more user friendly. Although each architecture offers certain advantages over the other, the choice of the manufacturer would depend upon the application the vision system is catering to, explains the analyst.
The future challenge for developers of machine vision systems is in meeting the requirement for high flexibility in terms of materials, processes and pattern designs. In addition, they need to offer economical set-up and commissioning times while ensuring reliable operation and low false reject rates. In specific segments these vision systems are also expected to allow a high level of customization.
1. Executive Summary
- 1. Scope and Methodology
- - 1. Scope
- - 2. Methodology
- 2. Overview & Key Findings
- - 1. Overview
- - 2. Key Findings
2. Technology and Applications Viewpoint
- 1. Technical Primer
- - 1. Machine Vision Components & Architectures
- - 2. Major Machine Vision Applications
- 2. Assessment of Technology and Application Trends
- - 1. Trends in Machine Vision Architectures
- - 2. Trends in Machine Vision Applications
3. Technology Adoption Factor Analysis
- 1. Analysis of Technology Drivers
- - 1. Enhancements Necessitated by Electronics & Semiconductors
- - 2. Advancing Automation Standards & Vision System Capabilities
- - 3. Regulatory & Environmental Factors
- 2. Analysis of Technology Challenges
- - 1. Technology Implementation Challenges
- - 2. Product Development Challenges
4. Innovative Developments in Machine Vision Systems
- 1. Semiconductor & Electronics Inspection
- - 1. High-Performance 3D Vision Solution for Flip Chip Substrate Inspection
- - 2. New Automated Optical Imaging Series for Bare PCB Production
- - 3. Brightfield Inspection System for Next Generation Defect Resolution
- - 4. Machine Vision Solutions for Inspection of Blue Ray Optical Media Format
- - 5. Flat Screen Glass Inspection Driven by Innovative Technology
- 2. Robotic Guidance & Industrial Vision Systems
- - 1. Robotic Guidance for Flexible Precision Assembly and Material Handling
- - 2. Underwater Guidance Based on Vision for Environmental Monitoring
- - 3. Vision-Based Flame Monitoring Technology for Boilers
- - 4. Tool Wear Measuring Technique Using Vision System
- - 5. State-of-the-Art Cameras Driving Machine Vision Systems
- - 6. Far-Infrared Radiation Deflectometry for Inspection of Nonspecular Surfaces
- - 7. Thermal Vision Cameras for Process Automation and Maintenance
- - 8. Near IR and Shortwave IR Imaging with InGaAs Sensor Cameras
- - 9. Fuzzy Logic and Neural Networks in Machine Vision
- 3. 3D Machine Vision Systems
- - 1. Solvision Adding a New Dimension to Vision Solutions for Microelectronics Inspection
- - 2. Canesta Offers Electronic Perception Technology
- - 3. Industrial 3D Vision Smart Camera for Factory Automation
- - 4. Imaging and Ranging for Automotive Applications Meet 3D Vision
- - 5. Vision Chip To Simulate Retinal Characteristics
- 4. Research in Food Inspection & Packaging
- - 1. IBM’s Intelligent Scale 'Veggie Vision' Makes Entry
- - 2. Popcorn Screening Using Machine Vision and Neural Networks
- - 3. Chick Sex Separation by Wing Image Processing Using Machine Vision
- - 4. Multispectral Imaging for Grading & Sorting Fruit
5. Database of Key Industry Participants and Selected Patents
- 1. Database of Key Industry Participants
- - 1. Corporate
- - 2. Academic & Research Organizations
- 2. Selected Patents
- - 1. United States Patents
- - 2. Patents from Rest of the World
6. Frost & Sullivan 2005 Science & Technology Awards
- 1. Technology Innovation
- - 1. Award Description
- - 2. Award Recipient
- 2. Product Innovation
- - 1. Award Description
- - 2. Award Recipient
- 3. Excellence in Technology
- - 1. Award Description
- - 2. Award Recipient
7. Critical Reference Tables
- 1. Decision Support Database
- - 1. Number of Manufacturing Establishments--North America (1999-2009)
- - 2. World Semiconductor & Semiconductor Equipment Market (1999-2006)
- - 3. World Machine Tool Production (1999-2006)
- - 4. World Car Production (1999-2006)
- - 5. World Heavy Truck Production (1996-2006)
- - 6. World Bus Production (1999-2006)
- - 7. World Heavy Commercial Vehicle Production (1999-2006)
- - 8. World Production of Processed Foods (1999-2006)
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