Pune, India -- (SBWire) -- 01/31/2018 --Machine Vision Global Market- Overview
Machines are everywhere and the rising adoption of automation is letting the companies to adopt the latest trends in machine vision technology for smart cities, security solutions and people management. Machine vision is an image based recognition technology providing the inspection and analysis in various applications across different industrial verticals. This technology provides a computer system with an ability to see, identify and analyse like humans. The machine vision technology market captures various end users and various different vendors contributing to the formation of a machine vision enabled systems. A major trend that tend to drive the market growth is miniaturization of manufacturing equipment, optical products, electronic devices and products. The machine vision uses cameras for visual inspection and judgement capabilities. However, there are certain factors that tend to slow down the growth of Machine Vision Market. These cameras can be tricked or fooled easily in order to get a illegal access to other property. Apple's Face ID locking and unlocking system is one of the application of machine vision, but a numerous attempts had been made to trick the system and it was successful. While the technology is in the beta stage, it will soon have a high level of advancement because of the abilities of machine to converse with each other.
Key Players
The prominent players in the market of Machine Vision Market are – Cognex Corporation (U.S.), Vitronic GmbH (Germany), Perceptron, Inc. (U.S.), Microscan Systems (U.S.), Basler AG (Germany.), National Instruments (U.S.), Optotune AG (Switzerland), USS Vision (U.S.), ViDi Systems SA (Switzerland), Keyence (Japan), Omron Corporation (Japan) among others.
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Industry News
December, 2017, Google AutoML claims Machine Vision Advance. Google is taking many steps in adoption and enablement of machines to build their own AI models. Google's AutoML initiative is part of a push for automated machine learning that allows data scientists to use AI tools to accelerate the process of developing and refining machine learning models. "These tools automatically sort through a huge range of alternatives relevant to some machine learning task". Google claims that the image features identified could be reused in other computer vision applications. Hence, it has released the architecture to the open source community for inference training on image classification and object detections using Tensor Flow repositories aimed at neural network applications. While Google develops the new machine learning technology, many countries and enterprises across the world are in a race to adopt the machine vision technology, especially in Japan and United States.
December, 2017, Samsung and ABB contributed $20 Million in A Chinese machine vision firm, Vion technology. Vion Technology provides artificial intelligence products and solutions to sectors such as smart cities and business intelligence. The company's products include a smart camera used to capture images of traffic violations, an intelligent video analysis terminal capable of face and age recognition for monitoring and counting people, and what it claims is the world's smallest smart people counting camera. Technological giant like Samsung and ABB are intended to take advantage of the Vion's machine vision solutions and its smart city systems, which are being used in cities and residencies across the China. This collaboration is about to increase the growth of the market of smart cities along with machine vision technology.
November, 2017, Bit Flow Identifies Five Machine Vision Trends for 2018. BitFlow is a manufacturer of frame grabbers for machine vision cameras. The company provided major trends in the machine vision market. These include, cross industry collaboration. The diverse use of machine vision is thriving different industries to collaborate with each other adopting the technology. Another trend that follows in the technology is rise in smart city adoption for security and people count. The other trends following the machine vision technology include, Vision-guided retail, and hyper spectral adoption. All of these trends are tend to drive the growth of the market for machine vision.
Machine Vision Global Market- Segmentation
Global Machine Vision market is expected to show rapid growth in the coming years especially from the automotive industry. On the basis of Type, the global market has been segmented on the basis of 1D, 2D and 3D machine vision. Growing industrialization and high investment on the quality and inspection of in the industry is leading to high demand for the machine vision systems. On the basis of Type, 2D Machine vision is dominating the market and holds the largest market share. growing industries such as Automotive, Healthcare and Automotive are the major driver for the growth of 2D machine vision systems whereas advancement and automation in the manufacturing is pushing the market of 3D machine vision.
Regional Analysis:
Machine Vision Market is growing with the positive growth in all the regions. Increasing application areas year on year and advancement in technology and integration is driving the market on global scale. On the basis of region, the market has been segmented into North America, Europe, Asia-Pacific and Rest of the World. Asia Pacific is dominating the global market with more than 30% of market share followed by Europe which stands as second biggest market due to the heavy demand from automotive and healthcare industry. North America stands as third biggest market.
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Intended Audience
- Data Centers
- Manufacturing Companies
- Software Developers
- Energy Generation Companies
- Technology Providers
- Distributors
- Research firms
- Consultancy firms
- Semiconductor Manufacturers
- Stakeholders
- End-user sectors
- Technology Investors
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