Industrial Machine Vision Cameras

Industrial Machine Vision Cameras Market Outlook

The global market for Industrial Machine Vision Cameras is valued at approximately USD 2.5 billion in 2023 and is projected to reach USD 4.5 billion by 2035, growing at a compound annual growth rate (CAGR) of 7.0%. This growth is primarily driven by the increasing demand for automation in manufacturing processes, coupled with the need for quality assurance and process control in various industries. The rising trend of Industry 4.0 and the integration of artificial intelligence (AI) and machine learning (ML) technologies further enhance the capabilities of machine vision systems, enabling them to perform complex tasks efficiently. Moreover, as manufacturers seek to reduce operational costs and improve product quality, the adoption of machine vision cameras is expected to surge across different sectors, including automotive, electronics, food and beverage, and pharmaceuticals. The growing emphasis on precision and accuracy in production processes serves as an additional catalyst for the market's expansion.

Growth Factor of the Market

One of the primary growth factors for the Industrial Machine Vision Cameras market is the rapid advancement in imaging technologies, which has significantly improved the performance and capabilities of these systems. Enhanced resolution, speed, and sensitivity of cameras allow for more accurate inspections and measurements, which are critical in industries where quality is imperative. Additionally, the increasing adoption of automation in manufacturing processes has created a demand for machine vision systems that can operate seamlessly alongside robotic systems. The growth of e-commerce and the associated need for efficient supply chain management have further propelled the requirement for reliable inspection and tracking systems. Furthermore, technological innovations such as 3D imaging and the integration of artificial intelligence capabilities into machine vision cameras are expected to open new avenues for application across various sectors. The increasing investments in research and development by key players also contribute to the market's growth, fostering innovation and enhancing product offerings.

Key Highlights of the Market

• The Industrial Machine Vision Cameras market is projected to reach USD 4.5 billion by 2035.
• Growth driven by automation and quality assurance needs across diverse industries.
• Technological advancements in imaging technologies boost camera performance.
• Increasing integration of AI and ML in machine vision systems offers enhanced capabilities.
• Strong investments in R&D by major players foster innovation in product offerings.

By Product Type

Smart Cameras:

Smart cameras are a vital segment within the Industrial Machine Vision Cameras market, characterized by their compact design which integrates processing capabilities. These cameras come equipped with built-in algorithms that enable them to perform image processing tasks internally, thus reducing the need for external processing units. Smart cameras are particularly advantageous in applications requiring real-time analysis, such as defect detection and quality control. Their flexibility and ease of installation make them suitable for various environments, ranging from production lines to complex manufacturing setups. The growing demand for automation and streamlined processes in industries is driving the adoption of smart cameras, making them a key component of modern inspection systems. As industries continue to seek ways to improve operational efficiency and reduce downtime, the role of smart cameras is expected to expand significantly.

PC-Based Cameras:

PC-Based Cameras represent another crucial segment in the Industrial Machine Vision Cameras market, offering higher processing power and flexibility compared to their smart counterparts. These cameras are typically used in applications that require high-speed image capture and more complex processing tasks. By connecting to a computer or workstation, PC-Based Cameras can leverage the processing capabilities of advanced software to perform intricate tasks such as 3D imaging and high-resolution inspections. Industries that necessitate high precision, such as automotive and electronics manufacturing, heavily rely on PC-Based Cameras for their ability to handle large data volumes and perform detailed analyses. The ongoing advancements in hardware and software technology continue to enhance the capabilities of PC-Based Cameras, making them essential in sectors demanding high-quality imaging and processing capabilities.

Standalone Cameras:

Standalone Cameras in the Industrial Machine Vision Cameras market offer a traditional approach to machine vision, operating independently without the need for a computer or additional hardware. These cameras are easy to install and use, making them an attractive option for small to medium-sized enterprises that may not require complex imaging systems. Standalone cameras are typically used in simpler applications such as basic inspection, measurement, and identification tasks. They provide a cost-effective solution for businesses seeking to implement machine vision technology without substantial investment in advanced systems. As manufacturing processes evolve, the demand for standalone cameras is expected to grow, particularly in sectors where quick deployment and ease of use are paramount.

Vision Sensors:

Vision Sensors play a significant role in the Industrial Machine Vision Cameras market by combining the functionality of a camera with intelligent processing capabilities. These devices are designed to perform specific tasks, such as presence detection, measurement, and quality control, with relative ease. Vision sensors are particularly effective in high-speed production environments where rapid decision-making is essential. Their compact design allows for easy integration into existing systems, and their ability to provide immediate feedback enhances production efficiency. As industries increasingly focus on optimizing their operations and minimizing errors, the adoption of vision sensors is poised to rise, driven by their capability to deliver reliable results in real-time.

3D Cameras:

3D Cameras represent a growing segment in the Industrial Machine Vision Cameras market, offering advanced imaging capabilities that provide depth information in addition to standard 2D images. These cameras use various technologies, such as laser scanning and stereo vision, to create detailed 3D models of objects, enabling applications in complex inspection and dimensional analysis. Industries such as automotive, aerospace, and manufacturing are increasingly adopting 3D cameras for their ability to enhance precision in inspections and measurements. The ability to detect surface defects and measure geometrical characteristics with high accuracy makes 3D cameras invaluable in quality control processes. As the technology continues to advance, the market for 3D cameras is expected to expand further, unlocking new opportunities for applications in manufacturing and logistics.

By Application

Quality Control:

Quality Control is one of the most critical applications for Industrial Machine Vision Cameras, serving as a fundamental aspect of manufacturing processes across various industries. Machine vision systems are employed to ensure that products meet specific standards and specifications before they reach the market. Cameras dedicated to quality control can perform tasks such as defect detection, dimensional verification, and surface inspection to identify any inconsistencies or irregularities in production. With the growing emphasis on quality and safety in manufacturing, the demand for machine vision systems capable of delivering accurate and reliable quality assessments is increasing. This trend is further supported by regulatory requirements in industries such as pharmaceuticals and food production, where quality assurance is paramount.

Measurement:

The measurement application of Industrial Machine Vision Cameras focuses on providing precise dimensional and geometric analysis of objects during the manufacturing process. By employing high-resolution imaging and advanced processing algorithms, these systems can measure dimensions, angles, and surface characteristics with a high degree of accuracy. This capability is vital in industries such as automotive manufacturing, where precise measurements are essential for component fitting and assembly. Moreover, the integration of machine vision systems into automated measurement processes reduces the potential for human error, leading to improved overall quality and efficiency. As industries continue to adopt automation and pursue higher standards of accuracy, the measurement application of machine vision cameras is expected to grow significantly.

Identification:

Identification applications of Industrial Machine Vision Cameras involve recognizing and verifying products or components as they move through various stages of production. This capability is essential for tracking items in complex manufacturing and supply chain environments, ensuring that each product is correctly labeled and accounted for. Machine vision systems equipped with Optical Character Recognition (OCR) and barcode reading capabilities enable manufacturers to automate identification processes, leading to increased efficiency and reduced human intervention. The rising complexity of inventory management and the need for traceability in production processes have fueled the demand for identification solutions utilizing machine vision technology. As businesses seek to optimize operations and enhance accuracy in tracking, the identification application of industrial cameras will continue to gain traction.

Guidance:

Machine vision cameras are increasingly used for guidance applications in automated production lines, providing real-time feedback to robotic systems for precise manipulation and assembly tasks. In environments where robots work alongside human operators, guidance systems ensure that components are positioned correctly, minimizing errors and enhancing overall productivity. With advanced vision algorithms, these cameras can detect the orientation and position of objects, allowing them to direct robotic movements accordingly. The growing adoption of collaborative robots (co-bots) in manufacturing is expected to drive the demand for guidance applications, as companies seek to improve automation while maintaining safety standards. As technology continues to evolve, the role of machine vision in guidance applications is likely to expand, enabling more sophisticated automation solutions.

Predictive Maintenance:

Predictive Maintenance is an emerging application area for Industrial Machine Vision Cameras, where imaging technology is utilized to monitor equipment health and detect potential failures before they occur. By analyzing visual data and identifying anomalies in machinery, companies can implement maintenance strategies that reduce downtime and prevent costly breakdowns. Machine vision systems equipped with thermal imaging can monitor equipment temperatures, while high-resolution cameras can inspect physical components for wear and tear. The growing emphasis on operational efficiency and sustainability in manufacturing is driving the adoption of predictive maintenance solutions, as businesses aim to optimize their maintenance schedules and reduce unnecessary costs. As industries increasingly leverage data-driven approaches to maintenance, the role of machine vision in predictive maintenance will continue to expand.

By Distribution Channel

Direct Sales:

Direct Sales is a significant distribution channel for Industrial Machine Vision Cameras, allowing manufacturers to engage directly with their customers. This approach not only provides customers with a comprehensive understanding of the products being offered but also facilitates personalized service and support. By eliminating intermediaries, direct sales enable manufacturers to maintain control over pricing and branding while fostering strong customer relationships. This channel is particularly advantageous for companies with specialized products that require tailored solutions for specific applications. As the industrial landscape evolves and companies seek unique machine vision solutions, direct sales channels are expected to play a crucial role in the market's growth.

Distributors:

Distributors serve as a vital link between manufacturers of Industrial Machine Vision Cameras and end-users, providing a broad reach and access to diverse markets. By collaborating with various manufacturers, distributors can offer a wide range of products, catering to different customer needs and preferences. This channel is particularly beneficial for smaller manufacturers who may not have the resources to establish a robust sales network. Distributors also provide valuable insights into market trends and customer demands, enabling manufacturers to align their offerings with industry needs. As the demand for machine vision technology continues to expand, the role of distributors in facilitating access to these products is expected to remain significant.

Online Retailers:

Online Retailers have emerged as an essential distribution channel for Industrial Machine Vision Cameras, providing convenience and accessibility to customers seeking machine vision solutions. The growth of e-commerce has transformed the buying process, allowing businesses to compare different products and prices easily. Online platforms offer a wealth of information, including product specifications, reviews, and customer feedback, empowering buyers to make informed decisions. Additionally, the ability to place orders 24/7 and have products delivered directly to their location enhances the customer experience. As more companies embrace digital purchasing methods, the popularity of online retailers in the machine vision market is expected to rise, facilitating further adoption of these technologies across various industries.

By Technology

CMOS:

Complementary Metal-Oxide-Semiconductor (CMOS) technology has gained significant traction in the Industrial Machine Vision Cameras market due to its cost-effectiveness and low power consumption. CMOS sensors enable high-speed image capture while maintaining excellent image quality, making them well-suited for dynamic applications where speed is crucial. Additionally, the integration of advanced features within CMOS sensors, such as enhanced noise reduction and improved sensitivity, has further propelled their adoption in various industries. The ongoing development of CMOS technology continues to drive innovation in the machine vision sector, as manufacturers look for ways to improve performance and reduce costs. With the increasing demand for compact and efficient imaging solutions, CMOS technology is expected to play a central role in the evolution of industrial machine vision systems.

CCD:

Charge-Coupled Device (CCD) technology has long been a staple in the Industrial Machine Vision Cameras market, known for its superior image quality and sensitivity in low-light conditions. CCD sensors excel in applications that require high-resolution imaging and precision, making them particularly popular in fields such as medical imaging, scientific research, and security. Despite being more expensive than CMOS sensors, CCD technology continues to be favored in applications where image quality is paramount. As industries evolve and the demand for high-fidelity imaging solutions increases, CCD technology remains a crucial component of machine vision systems, catering to specific applications where performance is of utmost importance.

By Region

North America is one of the leading regions in the Industrial Machine Vision Cameras market, accounting for approximately 35% of the global market share in 2023. The region's growth can be attributed to the presence of major manufacturers and a strong emphasis on automation and advanced manufacturing techniques across various industries, including automotive, pharmaceuticals, and electronics. The adoption of Industry 4.0 principles has further accelerated the integration of machine vision systems into production processes, enhancing operational efficiency and quality control. With a CAGR of around 6.5% anticipated for the region over the next ten years, North America remains a pivotal player in driving innovation and growth within the machine vision sector.

Europe follows closely behind, representing about 30% of the global Industrial Machine Vision Cameras market. The region benefits from a well-established manufacturing base and a strong focus on research and development, fostering innovation in machine vision technologies. Countries such as Germany and the United Kingdom are at the forefront of adopting advanced manufacturing practices, where machine vision systems play a critical role in ensuring quality and efficiency. The increasing investment in automation and smart manufacturing solutions is expected to propel the market's growth, with a projected CAGR of 6.8% in Europe over the coming decade. As industries in the region continue to prioritize quality and precision, the demand for industrial machine vision cameras is likely to rise significantly.

Opportunities

The Industrial Machine Vision Cameras market is poised to witness significant growth opportunities, primarily driven by the ongoing trend of digital transformation in manufacturing processes. As businesses increasingly adopt Industry 4.0 and smart factory concepts, the integration of machine vision systems in automated production lines is becoming more prevalent. This shift creates opportunities for manufacturers of machine vision cameras to innovate and develop advanced solutions that cater to the evolving needs of industries. Furthermore, the demand for customized solutions tailored to specific applications presents avenues for growth. Companies that can provide specialized imaging systems with enhanced capabilities will likely capture a larger share of the market. The rise of Internet of Things (IoT) technologies also opens up possibilities for machine vision cameras to connect and communicate with other devices, providing real-time insights and analytics that can optimize production processes.

Additionally, as industries continue to focus on sustainability and energy efficiency, there is an opportunity for machine vision camera manufacturers to develop solutions that promote eco-friendly practices. By creating systems that minimize waste and reduce energy consumption, companies can address growing concerns related to environmental impact while simultaneously enhancing operational efficiency. The healthcare sector, particularly, represents a burgeoning opportunity for machine vision cameras, as the demand for precise imaging in medical applications continues to increase. With advancements in imaging technology, machine vision cameras can be integrated into various medical devices, enabling higher accuracy in diagnostics and treatment. Overall, the Industrial Machine Vision Cameras market is set to experience substantial growth as it aligns with the changing dynamics of various industries.

Threats

Despite the promising growth trajectory of the Industrial Machine Vision Cameras market, several threats could pose challenges to its expansion. One of the primary concerns is the rapidly evolving technological landscape, which necessitates continuous innovation from manufacturers. Companies that fail to keep pace with the latest advancements in imaging technology risk falling behind in a highly competitive environment. Additionally, the market faces challenges related to cybersecurity, as the integration of machine vision systems into connected networks increases the potential for cyber threats. Ensuring the security and integrity of data collected by machine vision cameras is crucial for maintaining customer trust and safeguarding sensitive information. Furthermore, economic factors, such as fluctuations in raw material prices and trade tariffs, could adversely impact production costs and profitability for manufacturers, leading to uncertainty in the market.

Another significant threat in the Industrial Machine Vision Cameras market is the potential for market saturation, particularly as more players enter the field with similar product offerings. Increased competition may lead to price wars, reducing profit margins and hindering innovation. Companies need to differentiate their products and emphasize value-added features to maintain market relevance. Additionally, the skill gap in the workforce poses a challenge, as many businesses may struggle to find qualified personnel capable of operating and maintaining complex machine vision systems. Addressing this challenge will require investment in training and development programs to equip employees with the necessary skills. Overall, while the market presents significant opportunities, it must navigate these threats to achieve sustained growth and success.

Competitor Outlook

• Basler AG
• Cognex Corporation
• Teledyne Technologies Incorporated
• Omron Corporation
• National Instruments Corporation
• Keyence Corporation
• FLIR Systems, Inc.
• Sony Corporation
• JAI A/S
• Micro-Epsilon
• Vision Components GmbH
• ISRA Vision AG
• Matrox Imaging
• ABB Ltd.
• Scancon A/S

The competitive landscape of the Industrial Machine Vision Cameras market is characterized by a mix of established players and emerging startups, each striving to innovate and capture market share. Major companies such as Cognex Corporation and Basler AG dominate the market due to their extensive product portfolios and strong brand recognition. These companies invest heavily in research and development to introduce cutting-edge technologies and enhance their existing offerings. Furthermore, partnerships and collaborations between manufacturers and technology providers are becoming increasingly common, as they seek to leverage each other's strengths and deliver comprehensive solutions to end-users. The competition is further intensified by the ongoing demand for customized solutions, prompting companies to adopt agile approaches to meet specific customer requirements.

Keyence Corporation stands out in the market for its commitment to integrating advanced technology into its machine vision systems. By focusing on innovation and product differentiation, Keyence has established itself as a leader in the field, offering a range of solutions that cater to various industrial applications. Teledyne Technologies Incorporated is another significant player in the market, known for its high-quality imaging products and strong emphasis on customer service. The company's diverse offerings and commitment to quality have earned it a loyal customer base across different sectors. Similarly, FLIR Systems, Inc. has carved a niche for itself in the market by providing thermal imaging solutions, expanding the capabilities of machine vision technology beyond traditional applications.

Emerging companies are also making their mark in the Industrial Machine Vision Cameras market by introducing innovative solutions that leverage the latest advancements in imaging technology. Startups focused on artificial intelligence and machine learning applications are gaining traction, as their solutions can enhance the capabilities of traditional machine vision systems. By offering tailored solutions that address specific industry challenges, these startups are attracting attention and investment. As the market continues to evolve, it is expected that the competitive landscape will undergo significant changes, with companies adapting to new trends and customer demands to maintain their positions. Overall, the Industrial Machine Vision Cameras market remains dynamic, with a wide array of players contributing to its growth and innovation.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 JAI A/S
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 ABB Ltd.
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Basler AG
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Scancon A/S
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Micro-Epsilon
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 ISRA Vision AG
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Matrox Imaging
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Sony Corporation
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Omron Corporation
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Cognex Corporation
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 FLIR Systems, Inc.
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Keyence Corporation
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Vision Components GmbH
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 National Instruments Corporation
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Teledyne Technologies Incorporated
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Industrial Machine Vision Cameras Market, By Application
    • 6.1.1 Quality Control
    • 6.1.2 Measurement
    • 6.1.3 Identification
    • 6.1.4 Guidance
    • 6.1.5 Predictive Maintenance
  • 6.2 Industrial Machine Vision Cameras Market, By Product Type
    • 6.2.1 Smart Cameras
    • 6.2.2 PC-Based Cameras
    • 6.2.3 Standalone Cameras
    • 6.2.4 Vision Sensors
    • 6.2.5 3D Cameras
  • 6.3 Industrial Machine Vision Cameras Market, By Distribution Channel
    • 6.3.1 Direct Sales
    • 6.3.2 Distributors
    • 6.3.3 Online Retailers

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Industrial Machine Vision Cameras Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Industrial Machine Vision Cameras market is categorized based on

By Product Type

• Smart Cameras
• PC-Based Cameras
• Standalone Cameras
• Vision Sensors
• 3D Cameras

By Application

• Quality Control
• Measurement
• Identification
• Guidance
• Predictive Maintenance

By Distribution Channel

• Direct Sales
• Distributors
• Online Retailers

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Basler AG
• Cognex Corporation
• Teledyne Technologies Incorporated
• Omron Corporation
• National Instruments Corporation
• Keyence Corporation
• FLIR Systems, Inc.
• Sony Corporation
• JAI A/S
• Micro-Epsilon
• Vision Components GmbH
• ISRA Vision AG
• Matrox Imaging
• ABB Ltd.
• Scancon A/S