{"id":7106,"date":"2019-04-05T11:23:06","date_gmt":"2019-04-05T11:23:06","guid":{"rendered":"https:\/\/www.openbusinesscouncil.org\/?p=7106"},"modified":"2021-02-01T12:58:09","modified_gmt":"2021-02-01T12:58:09","slug":"digital-transformation-iot-and-ai-will-leverage-opportunities-for-machine-vision-technology","status":"publish","type":"post","link":"https:\/\/www.footballthink.com\/digital-transformation-iot-and-ai-will-leverage-opportunities-for-machine-vision-technology\/","title":{"rendered":"Digital Transformation: IoT And AI Will Leverage Opportunities For Machine Vision Technology"},"content":{"rendered":"
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Digital Transformation: IoT And AI Will Leverage Opportunities for Machine Vision Technology<\/figcaption><\/figure>\n

Machine vision technology has been in the market for years. However, in advancements in technology and with the evolution of smart factory, the past decade has seen a drastic revolution in machine vision equipment. The $7.45 billion global machine vision equipment<\/strong> market is expected to almost double by 2022 to touch $13.62 billion, as industries intensify their demand for quality inspection.<\/p>\n

Machine vision is commonly defined by basically the ability of a computer to see. To do so, it employs one or more video cameras, analog-to-digital conversion (ADC<\/a>) and digital signal processing (DSP<\/a>). The resulting data then goes to a computer or robot controller. Machine vision is similar in complexity to\u00a0voice recognition<\/a>.<\/p>\n

Artificial Intelligence<\/strong> (AI<\/strong>)-<\/a> and Internet of Things<\/strong> (IoT<\/strong>)-integrated machine vision systems that expedite automation will especially gain traction in this environment. Vendors are focusing on providing advanced solutions that can reduce human involvement and enhance the systems’ safety benefits, which will, in turn, prevent part damage and eliminate the maintenance costs associated with mechanical components.<\/p>\n

“Despite the evolution of the smart camera system<\/strong>, PC-based machine vision solutions<\/strong> are expected to dominate the market due to their greater power and speed,\u201d<\/em> said Prem Shanmugam, Senior Consultant<\/strong> for Measurement & Instrumentation at Frost & Sullivan.<\/strong> “Embedded vision systems<\/strong> as well are finding application in futuristic end-use cases like self-driving cars<\/strong> and hence, companies are looking for partnership opportunities with embedded system designers.”<\/em><\/p>\n

“Asia-Pacific<\/strong> will continue to be the largest market globally, generating 38.4 percent of the revenues by 2022. Companies such as Cognex Corporation<\/strong>, Basler AG<\/strong>, and Keyence Corporation<\/strong> will dominate the market with their diverse product portfolios, robust distribution network, and wide application coverage,”<\/em> noted Shanmugam. “Machine vision vendors that demonstrate high innovation in terms of technology, flexibility, efficiency, and accuracy will be the most successful in the constantly evolving market.”<\/em><\/p>\n

Vendors will find additional revenue opportunities in:<\/p>\n