{"id":131080,"date":"2025-06-03T16:21:50","date_gmt":"2025-06-03T21:21:50","guid":{"rendered":"https:\/\/www.controleng.com\/?p=131080"},"modified":"2025-06-03T19:58:14","modified_gmt":"2025-06-04T00:58:14","slug":"how-ai-powered-video-analytics-may-unify-computer-vision-systems-2","status":"publish","type":"post","link":"https:\/\/www.controleng.com\/how-ai-powered-video-analytics-may-unify-computer-vision-systems-2\/","title":{"rendered":"How AI-powered video analytics may unify computer vision systems"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Machine vision and AI insights<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Learn how&nbsp;artificial intelligence&nbsp;(AI)-powered video analytics has potential for unifying disparate video analytics, computer vision and machine vision systems. An April 2025&nbsp;ARC&nbsp;Strategies report AI Powered Video Analytics: The Path to&nbsp;a&nbsp;Unified Solution, from&nbsp;ARC&nbsp;Advisory&nbsp;Group&nbsp;explains more.<\/li>\n\n\n\n<li>Understand how use of AI for computer vision and machine vision&nbsp;benefit&nbsp;from&nbsp;generative AI, multi-modal&nbsp;foundation&nbsp;models.<\/li>\n\n\n\n<li>Explore other topics&nbsp;in&nbsp;AI Powered Video Analytics: The Path to&nbsp;a&nbsp;Unified Solution from&nbsp;ARC Advisory&nbsp;Group.<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\">\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<\/div>\n<\/div>\n\n\n\n<p>Will&nbsp;artificial intelligence&nbsp;(AI)-powered video analytics create&nbsp;<a><u>a<\/u><\/a>&nbsp;unified approach to disparate video analytics, computer vision and machine vision systems? An April 2025&nbsp;ARC&nbsp;Strategies report, <a href=\"https:\/\/www.arcweb.com\/industry-best-practices\/ai-powered-video-analytics-path-unified-solution\"> AI-Powered Video Analytics: The Path to&nbsp;a&nbsp;Unified Solution<\/a> from&nbsp;ARC&nbsp;Advisory&nbsp;Group,&nbsp;explains more: \u201cAI is changing the world of video analytics and computer vision. Everyone from machine vision suppliers to&nbsp;platform&nbsp;independent software providers are&nbsp;offering&nbsp;new solutions for&nbsp;a&nbsp;wide range of applications, but can we ever&nbsp;expect&nbsp;a&nbsp;unified approach to AI-powered video analytics that can address all computer vision systems?\u201d<\/p>\n\n\n\n<p>The 20-page report explains that computer vision heavily relies on&nbsp;<a href=\"https:\/\/www.controleng.com\/machine-learning-framework-speeds-predictions-for-material-thermal-properties\/\">machine learning&nbsp;(ML)<\/a> techniques to analyze visual&nbsp;data, recognize objects, track movements and more. Industrial AI \u2013 the term coined by&nbsp;ARC&nbsp;in&nbsp;2023 to encompass the full range of AI\/ML techniques needed to address diverse and demanding use cases for AI &#8211; provides&nbsp;a&nbsp;new&nbsp;foundation&nbsp;for things like image recognition and pattern recognition&nbsp;in&nbsp;industrial applications. It\u2019s being deployed&nbsp;in&nbsp;a&nbsp;wide range of applications for computer vision, from CCTV surveillance to&nbsp;employee&nbsp;safety, condition monitoring&nbsp;and&nbsp;environmental monitoring applications. Computer-vision functions, however, remains largely&nbsp;in&nbsp;silos. The markets for machine vision, CCTV and video surveillance, access&nbsp;control&nbsp;and&nbsp;robotic inspection systems, for example, remain largely compartmentalized. A more unified approach to computer vision can greatly enhance plant safety and reliability, decrease operating costs and automate additional functions.&nbsp;<\/p>\n\n\n\n<p>\u201cAI-enabled computer vision can also substantially increase equipment reliability and availability by improving&nbsp;data-gathering capabilities with advanced sensors and technologies to help gather&nbsp;a&nbsp;wide range of&nbsp;data, uncover information not visible to the eye&nbsp;and&nbsp;flag potential issues that&nbsp;a&nbsp;human&nbsp;may miss. This report looks at the current&nbsp;environment&nbsp;for computer vision applications,&nbsp;addresses&nbsp;the impact of AI and analytics and looks at the potential value and use cases for&nbsp;a&nbsp;unified approach to AI-enabled computer vision across applications and the intersection of&nbsp;<a href=\"https:\/\/www.controleng.com\/to-drive-improved-digital-transformation-dont-forget-about-the-process\/\">technology&nbsp;digital transformation<\/a>, and sustainable practices,\u201d according to the executive report.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"399\" src=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/06\/CTL2506_MAG2_F4_MachineVision-ARC-AI-and-Computer-Vision-Strategies.jpg\" alt=\"Many providers from a wide range of markets are expanding int AI-driven video analytics applications, according to the April 2025 ARC Strategies report \u201cAI Powered Video Analytics: The Path to a Unified Solution.\u201d Courtesy: ARC Advisory Group\" class=\"wp-image-131084\" srcset=\"https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/06\/CTL2506_MAG2_F4_MachineVision-ARC-AI-and-Computer-Vision-Strategies.jpg 640w, https:\/\/www.controleng.com\/wp-content\/uploads\/2025\/06\/CTL2506_MAG2_F4_MachineVision-ARC-AI-and-Computer-Vision-Strategies-300x187.jpg 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><figcaption class=\"wp-element-caption\">Many providers from a wide range of markets are expanding int AI-driven video analytics applications, according to the April 2025 ARC Strategies report \u201cAI Powered Video Analytics: The Path to a Unified Solution.\u201d Courtesy: ARC Advisory Group<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Use of AI for computer vision, machine vision<\/h2>\n\n\n\n<p>Computer vision techniques have long been part of the AI landscape. It\u2019s one of the tools&nbsp;<a>in<\/a>&nbsp;the Industrial AI toolbox&nbsp;benefiting&nbsp;from the massive injection&nbsp;in&nbsp;AI funding triggered initially be the breakthroughs&nbsp;in&nbsp;Gen AI (ChatGPT&nbsp;3.5 Nov&nbsp;2022), especially as investments expand beyond&nbsp;large language models&nbsp;(LLMs)&nbsp;into&nbsp;multi-modal&nbsp;foundation&nbsp;models.<\/p>\n\n\n\n<p>Computer vision is experiencing significant advancements thanks to investments&nbsp;in&nbsp;generative AI (gen AI) and the expansion&nbsp;into&nbsp;multi-modal&nbsp;foundation&nbsp;models.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Generative AI&nbsp;in&nbsp;computer vision<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.controleng.com\/how-to-integrate-generative-ai-into-industrial-networking\/\">Generative AI, particularly techniques like generative adversarial networks (GANs)<\/a> and variational autoencoders (VAEs), is revolutionizing computer vision by enabling the creation of new, realistic&nbsp;data. This is especially useful for&nbsp;data&nbsp;augmentation, which helps improve the quality and diversity of training datasets.&nbsp;<\/p>\n\n\n\n<p>Some key gen AI benefits for machine and computer&nbsp;include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Image-to-image translation:<\/strong> GANs can translate images from one domain to&nbsp;another, such as converting black-and-white&nbsp;images to color or transforming photos&nbsp;into&nbsp;artistic styles.<\/li>\n\n\n\n<li><strong>Super-resolution:<\/strong> Enhancing the resolution of images without losing detail, which is valuable for medical imaging, satellite imagery&nbsp;and&nbsp;security footage.<\/li>\n\n\n\n<li><strong>Style&nbsp;transfer: <\/strong>Applying the style of one image to&nbsp;another, useful for artistic expression and marketing.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Multi-modal&nbsp;foundation&nbsp;models integrate vision and language<\/h2>\n\n\n\n<p>Multi-modal&nbsp;foundation&nbsp;models, like Magma&nbsp;in&nbsp;February&nbsp;2025 from Microsoft Research, are designed to&nbsp;handle&nbsp;multiple types of&nbsp;data&nbsp;inputs, such as&nbsp;text, images&nbsp;and&nbsp;videos, simultaneously. These models integrate vision and language understanding, enabling more comprehensive and context-aware analysis. Some benefits of multi-modal&nbsp;foundation&nbsp;models&nbsp;include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Enhanced contextual understanding: <\/strong>By combining visual and textual&nbsp;data, these models can provide more accurate and nuanced interpretations of visual information.<\/li>\n\n\n\n<li><strong>Improved interaction: <\/strong>Multi-modal models can generate more intuitive and interactive user interfaces, transforming how we interact with software and devices.<\/li>\n\n\n\n<li><strong>Advanced applications: <\/strong>These models are capable of performing complex tasks such as&nbsp;UI navigation, robotic manipulation&nbsp;and&nbsp;real-time decision-making&nbsp;in&nbsp;dynamic environments.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Impacts of AI and machine vision, five segments<\/h2>\n\n\n\n<p>The integration of gen AI and multi-modal\u00a0foundation\u00a0models\u00a0in\u00a0computer vision is leading to more robust, accurate and versatile solutions. These advancements are enhancing existing applications and opening new possibilities\u00a0in\u00a0fields like\u00a0healthcare, security, entertainment and industrial automation.<\/p>\n\n\n\n<p>Today, the market for computer vision and associated analytics capabilities can be split&nbsp;into&nbsp;five major segments: machine vision systems, hyperscalers, CCTV and video surveillance, robotics and drone inspection systems and&nbsp;platform&nbsp;independent software providers that are not tied to any type of computer-vision&nbsp;technology.&nbsp;In&nbsp;addition to these markets, there is&nbsp;<a><u>a<\/u><\/a>&nbsp;wide range of open foundations and consortia dedicated machine vision and AI, with many open-source&nbsp;toolsets available.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">More about \u201cAI Powered Video Analytics: The Path to&nbsp;<a>a<\/a>&nbsp;Unified Solution\u201d<\/h2>\n\n\n\n<p>The&nbsp;April&nbsp;2025&nbsp;ARC&nbsp;Strategies report \u201cAI Powered Video Analytics: The Path to&nbsp;a&nbsp;Unified Solution,\u201d from&nbsp;ARC&nbsp;Advisory&nbsp;Group,&nbsp;includes&nbsp;more on the market for AI-enabled computer vision and video analytics, machine vision providers, video analytics, CCTV and video surveillance, robotics and drone inspection providers, independent&nbsp;platform&nbsp;providers and open foundations along with recommendations for moving&nbsp;toward&nbsp;unified AI-powered video analytics.&nbsp;<\/p>\n\n\n\n<p><strong>Larry O\u2019Brien<\/strong>&nbsp;is&nbsp;vice<a><u> <\/u><\/a>president&nbsp;of research,&nbsp;<a href=\"https:\/\/www.arcweb.com\/\"><u>ARC<\/u>&nbsp;<u>Advisory<\/u>&nbsp;<u>Group<\/u><\/a>. Edited by Mark T. Hoske,&nbsp;editor-in-chief,&nbsp;<em>Control&nbsp;Engineering,&nbsp;<\/em>WTWH Media<em>,<\/em>&nbsp;mhoske@wtwhmedia.com.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>CONSIDER THIS<\/p>\n\n\n\n<p>Will&nbsp;AI tools help unify disparate computer-vision systems and safety and efficiency?<\/p>\n\n\n\n<p>ONLINE<\/p>\n\n\n\n<p><em>Control&nbsp;Engineering<\/em>&nbsp;provides more on:<\/p>\n\n\n\n<p><a href=\"https:\/\/www.controleng.com\/ai-and-machine-learning\/\"><strong>AI\/ML<\/strong><\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.controleng.com\/vision-and-discrete-sensors\/\"><strong>Vision and discrete sensors<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is changing video analytics computer vision and machine vision systems, but will it unify disparate and incompatible systems?<\/p>\n","protected":false},"author":846,"featured_media":131086,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pgc_sgb_lightbox_settings":"","footnotes":""},"categories":[104044,104040],"tags":[110167,109828,110166,109837,109340,109757],"tracking-metrics":[],"display-location":[109353],"class_list":{"2":"type-post"},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - 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