{"id":34571,"date":"2021-02-22T11:40:13","date_gmt":"2021-02-22T06:10:13","guid":{"rendered":"https:\/\/www.the-next-tech.com\/?p=34571"},"modified":"2024-04-01T16:41:54","modified_gmt":"2024-04-01T11:11:54","slug":"the-future-of-artificial-intelligence-in-manufacturing","status":"publish","type":"post","link":"https:\/\/www.the-next-tech.com\/artificial-intelligence\/the-future-of-artificial-intelligence-in-manufacturing\/","title":{"rendered":"The Future of Artificial Intelligence in Manufacturing"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Industrial Internet of Things (IIoT) systems and applications are improving at a rapid pace. <\/span><span style=\"font-weight: 400;\">According to Business Insider Intelligence, the IoT market is expected to grow to over $2.4 trillion annually by 2027, with more than 41 billion IoT devices projected. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Providers are working to meet the growing needs of companies and consumers. New technologies, such as Artificial Intelligence (AI), and machine learning make it possible to realize massive gains in process efficiency.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With the growing use of AI and its <\/span><a href=\"https:\/\/mobidev.biz\/services\/iot-development\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">integration into IoT solutions<\/span><\/a><span style=\"font-weight: 400;\">, business owners are getting the tools to improve and enhance their manufacturing. The AI systems are being used to:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Detect defects<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Predict failures<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimize processes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Make devices smarter<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Using the correct data, companies will become more creative with their solutions. This sets them apart from the competition and improves their work processes.<\/span><\/p>\n<h3>Detect Defects<\/h3>\n<p><span style=\"font-weight: 400;\">AI integration into manufacturing improves the quality of the products, reducing the probability of errors and defects.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Defect detection factors into the improvement of overall product quality. For instance, the<\/span> <span style=\"font-weight: 400;\">BMW group<\/span><span style=\"font-weight: 400;\"> is employing AI to inspect part images in their production lines, which enables them to detect deviations from the standard in real time. This massively improves their production quality.<\/span><\/p>\n<p><a href=\"https:\/\/www.nokia.com\/about-us\/news\/releases\/2018\/04\/12\/nokia-and-telia-conduct-industry-40-trial-in-finland-leveraging-low-latency-and-high-bandwidth-of-5g-technology\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Nokia<\/span><\/a><span style=\"font-weight: 400;\"> started using an AI-driven video application to inform the operator at the assembly plant about inconsistencies in the production process. This means issues can be corrected in real time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A <\/span><a href=\"https:\/\/www.thomasnet.com\/insights\/considering-ai-for-visual-inspections-here-s-how-to-develop-the-right-deep-learning-model-for-your-operation\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">deep learning-based<\/span><\/a><span style=\"font-weight: 400;\"> defect detection system has a better perception than traditional machine vision. Using object detection and image classification algorithms applied to <\/span><a href=\"https:\/\/mobidev.biz\/blog\/ai-computer-vision-real-time-video-processing\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">real-time video stream processing<\/span><\/a><span style=\"font-weight: 400;\">, AI engineers build systems which are capable of recognizing surface defects on the products such as cracks, leaks, and scratches.\u00a0\u00a0<\/span><br \/>\n<span class=\"seethis_lik\"><span>Also read:<\/span> <a href=\"https:\/\/www.the-next-tech.com\/top-10\/ai-gpu-for-productivity\/\">Top 10 AI GPUs That Can Increase Work Productivity By 30% (With Example)<\/a><\/span>\n<h3>Predict Failures<\/h3>\n<p><span style=\"font-weight: 400;\">Predicting when a production line will need maintenance is also simple with machine learning. This is useful in the sense that, instead of fixing failures when they happen, you get to predict them before they occur. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Using time-series data, machine learning models enhance the maintenance prediction system to analyze patterns likely to cause failure. Predictive maintenance is accurate using regression, classification, and anomaly detection models. It <\/span><a href=\"https:\/\/customers.microsoft.com\/en-us\/story\/schneider-electric-power-utilities-azure\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">optimizes performance<\/span><\/a><span style=\"font-weight: 400;\"> before failure can happen in manufacturing systems.<\/span><\/p>\n<p><a href=\"https:\/\/www.fanucamerica.com\/news-resources\/fanuc-america-press-releases\/2018\/03\/22\/fanuc-america-s-robot-linki-zero-down-time-(zdt)-available-on-all-fanuc-robots\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">General Motors<\/span><\/a><span style=\"font-weight: 400;\"> uses AI predictive maintenance systems across its production sites globally. Analyzing images from cameras mounted on assembly robots, these systems are identifying the problems before they can result in unplanned outages.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">High speed rail lines by <\/span><a href=\"https:\/\/www.thalesgroup.com\/en\/worldwide\/transport\/magazine\/how-predict-and-prevent-equipment-failure-now-keeping-trains-track\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Thales<\/span><\/a><span style=\"font-weight: 400;\"> are being maintained by machine learning that predicts when the rail system needs maintenance checks.<\/span><\/p>\n<h3>Optimize Processes<\/h3>\n<p><span style=\"font-weight: 400;\">The growth of IIoT allows for automation of most production processes by optimizing energy consumption and predictions for the production line. The <a href=\"https:\/\/www.the-next-tech.com\/supply-chain-management\/top-supply-chain-and-logistics-technology-trends\/\">supply chain<\/a> is also improving with deep learning models, ensuring that companies can deal with greater volumes of data. It makes the supply chain management system cognitive, and helps in defining optimal solutions.\u00a0<\/span><\/p>\n<h3>Make Devices Smarter<\/h3>\n<p><span style=\"font-weight: 400;\">By employing machine learning algorithms to process the data generated by hardware devices at the local level, there is no longer a need to connect to the internet to process data or make real-time decisions. <\/span><a href=\"https:\/\/www.embedded.com\/ai-at-the-edge-what-to-look-for-in-2021\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Edge AI<\/span><\/a><span style=\"font-weight: 400;\"> does away with the limitation of networks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"> The information doesn&#8217;t have to be uploaded to the cloud for the machine learning models to work on it. Instead, the data is processed locally and used within the system. It also works for the improvement of the algorithms and systems used to process information.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These systems can use machine learning while still offline, which reduces reliance on the internet. This enables the systems to be more efficient in their operations, and the company can improve its production over time. Edge AI also makes production more accurate.\u00a0<\/span><br \/>\n<span class=\"seethis_lik\"><span>Also read:<\/span> <a href=\"https:\/\/www.the-next-tech.com\/top-10\/web-hosting-companies\/\">Top 10 Web Hosting Companies in 2021 | Detailed Review<\/a><\/span>\n<h2>What\u2019s Next?<\/h2>\n<p><span style=\"font-weight: 400;\">The manufacturing market is seeing a huge boost thanks to the IIoT and AI progress. Machine learning models are being used to optimize work processes.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The quality of products is getting improved by reducing the number of defects that are likely to occur. This is expected to improve over time, and it also will heavily improve the production process to reduce errors and defects in products.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There is still a huge potential of AI that has yet to be utilized. Generative Adversarial Networks (GAN) can be <\/span><span style=\"font-weight: 400;\">used for product design<\/span><span style=\"font-weight: 400;\">, choosing the best combination of parameters for a future product and putting it into production.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The workflow becomes cheaper and more manageable. Companies realize this benefit in the form of a faster time to market. New product cycles also ensure that the company stays relevant in terms of production.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Networks are set to upgrade to 5G, which will witness greater capacities and provide an avenue for artificial intelligence to utilize this resource better. It will also be a connection for the industrial internet of things and see a boost in production processes. Connected self-aware systems will also be useful for the manufacturing systems of the future.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI is going to <\/span><a href=\"https:\/\/hackernoon.com\/five-successful-ai-and-ml-use-cases-in-manufacturing-ac3a30ol\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">make inroads<\/span><\/a><span style=\"font-weight: 400;\"> into the world of manufacturing. The processes will get better, faster, and more accurate. AI algorithms will improve and optimize the performance and accuracy of the machine learning models. This makes the AI more accurate and better at working with massive datasets to improve the manufacturing process.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Industrial Internet of Things (IIoT) systems and applications are improving at a rapid pace. According to Business Insider Intelligence, the<\/p>\n","protected":false},"author":146,"featured_media":34573,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[36],"tags":[137,164,3511,272,3265],"_links":{"self":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/34571"}],"collection":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/users\/146"}],"replies":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/comments?post=34571"}],"version-history":[{"count":4,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/34571\/revisions"}],"predecessor-version":[{"id":78364,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/34571\/revisions\/78364"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/media\/34573"}],"wp:attachment":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/media?parent=34571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/categories?post=34571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/tags?post=34571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}