{"id":5507,"date":"2019-07-25T17:07:55","date_gmt":"2019-07-25T11:37:55","guid":{"rendered":"https:\/\/www.fusioninformatics.com\/blog\/?p=5507"},"modified":"2022-09-16T11:17:44","modified_gmt":"2022-09-16T05:47:44","slug":"recycling-through-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.fusioninformatics.com\/blog\/recycling-through-artificial-intelligence\/","title":{"rendered":"Recycling through Artificial Intelligence"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-5508 aligncenter\" src=\"https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence.png\" alt=\"recycling-through-artificial-intelligence\" width=\"1000\" height=\"300\" srcset=\"https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence.png 1000w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-300x90.png 300w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-768x230.png 768w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-550x165.png 550w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-520x156.png 520w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-625x188.png 625w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-15x5.png 15w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-380x114.png 380w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-800x240.png 800w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-80x24.png 80w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-30x9.png 30w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-760x228.png 760w, https:\/\/www.fusioninformatics.com\/blog\/wp-content\/uploads\/2019\/07\/recycling-through-artificial-intelligence-600x180.png 600w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><a href=\"https:\/\/www.techtarget.com\/whatis\/definition\/smart-robot\" target=\"_blank\" rel=\"noopener\"><strong>Smart robots<\/strong><\/a>, sensors, and vision systems with the power of <strong><a href=\"https:\/\/www.fusioninformatics.com\/artificial-intelligence.html\">artificial intelligence<\/a> <\/strong>are making their way into every industry across the globe. In many ways, they are transforming we deal with our surroundings and handle our responsibilities going forward.<\/p>\n<p>One of the biggest responsibilities that humans have towards the planet in this present day is to optimize every recycling process and help live an environmentally sustainable life.<\/p>\n<p><a href=\"https:\/\/www.fusioninformatics.com\/blog\/ai-robotics-in-healthcare-taking-healthcare-solutions-to-next-dimension\/\" target=\"_blank\" rel=\"noopener\"><strong>Technology<\/strong><\/a> would now act as the required impetus that humans need to save the environment in the best possible ways. Artificial intelligence is slowly transforming the way we recycle waste.<\/p>\n<p>The advantage of employing artificial intelligence in recycling efforts is double-layered in most scenarios \u2014 firstly, they would quicken the process of sorting the waste coming into the recycling facility; and secondly, they can also help in analyzing the sorted waste and help in identifying specific types of waste, such as different grades of plastic.<\/p>\n<p>The artificial intelligence systems can also be programmed to identify the incoming waste for potential pathogens from contaminated food products. The core tools of the artificial intelligence enabled recycling facility would be deep learning, and <strong><a href=\"https:\/\/www.fusioninformatics.com\/deep-learning.html\">visual recognition<\/a>.<\/strong><\/p>\n<p>Another approach would be employing robots or artificial intelligence trucks to collect the waste. This would allow sorting earlier in the process and speed up the entire recycling process. Further, vending machines can be engineered to enable to reverse their role.<\/p>\n<p>Adding to their role of dispensing products, they can begin to accept waste cans, plastic bags, or bottles \u2014 sorting them appropriately for further processing. This would make it easier for the general populace to contribute and participate in the process; thus making the community an integral part of <a href=\"https:\/\/study.com\/learn\/lesson\/environmental-sustainability-examples.html\" target=\"_blank\" rel=\"noopener\"><strong>environmentally sustainable living practices.<\/strong><\/a><\/p>\n<p>There are a few organizations across the world that are working towards integrating artificial intelligence with the recycling process. Despite successes, the road ahead remains replete with multiple opportunities yet to be perfected.<\/p>\n<p>The principal concerns can be discussed in the following sections.<\/p>\n<h3>Revolutionizing Sorting<\/h3>\n<p>Not all types of waste can be, should be, or are treated in a similar way. Every form of waste \u2014 even based on their specific grades in sub-groups \u2014 requires to be treated in a specific manner to ensure that they are recycled properly and do not end up harming planet earth in some other way.<\/p>\n<p>Therefore, one of the core challenges of a <a href=\"https:\/\/www.fusioninformatics.com\/blog\/recycling-through-artificial-intelligence\/\" target=\"_blank\" rel=\"noopener\"><strong>recycling<\/strong><\/a> facility is to sort the incoming waste. Artificial intelligence can be used to increase the speed of the sorting process while ensuring that the possibility of human errors is reduced considerably.<\/p>\n<p><a href=\"https:\/\/www.fusioninformatics.com\/blog\/what-is-machine-learning-and-importance\/\" target=\"_blank\" rel=\"noopener\"><strong>Machine learning<\/strong><\/a> and artificial intelligence can be used to sort the incoming waste into broader classifications such as plastic, wood, and glass. Then, for the second level of sorting, the machine can sort the plastic based on its grade, wood based on the pieces\u2019 composition, and glass based on its mark.<\/p>\n<p>This would help to ensure that the waste reaches the appropriate recycling facility and successfully makes its way back into use, rather than filling up a landfill.<\/p>\n<p>For recycling facilities that cater to a specific <a href=\"https:\/\/www.fusioninformatics.com\/blog\/impact-of-big-data-on-retail-2022\/\" target=\"_blank\" rel=\"noopener\"><strong>retail organization<\/strong><\/a>, the sorting mechanism can be designed to meet their specific needs. For instance, a recycling facility caters to the recycling needs of an ice-cream parlour, a smoothie bar.<\/p>\n<p>The ice-cream parlour serves in two types of containers \u2014 paper cups for single or double serves, and plastic tubs for serves that are bigger than two scoops. The smoothie bar uses glass bottles of two different sizes \u2014 300 mL and 800 mL \u2014 to serve its customers.<\/p>\n<p>Thus, at the recycling facility the primary sorting can be directed at differentiating plastic from paper and those glasses. The glass bottles can then be subjected to a secondary sorting process, sorted according to their size.<\/p>\n<p>A major advantage of such a layered sorting process is the fact that the concerned organizations \u2014 the ice-cream parlor and smoothie bar, in this case \u2014 can keep track of the amount of waste they have been able to recycle. This would help organizations to design environmental policies that address loopholes they identify during the recycling process.<\/p>\n<h3>Also Read :<\/h3>\n<blockquote>\n<h2 class=\"entry-title\" style=\"text-align: center;\"><a href=\"https:\/\/www.fusioninformatics.com\/blog\/top-benefits-of-artificial-intelligence-in-retail\/\" rel=\"bookmark\">Top Benefits of Artificial Intelligence in Retail<\/a><\/h2>\n<pre>Retail in particular is one of the industries where the successful&nbsp;<a href=\"https:\/\/www.fusioninformatics.com\/blog\/recent-innovations-in-retail-industry\/\">implementations of AI<\/a> are constantly rising. Look at H &amp; M\u2019s assortment planning using AI.<\/pre>\n<\/blockquote>\n<h3>The Future with Artificial Intelligence<\/h3>\n<p>The present phase of <a href=\"https:\/\/www.fusioninformatics.com\/\">developing artificial intelligence<\/a> for the benefit of recycling facilities is focused on aspects of <a href=\"https:\/\/www.fusioninformatics.com\/services\/ai-development\/deep-learning-applications.html\" target=\"_blank\" rel=\"noopener\"><strong>deep learning<\/strong><\/a>. One of the principal goals of introducing deep learning aspects of artificial intelligence in the <a href=\"https:\/\/www.isri.org\/stop-metals-theft\/recycling-industry\" target=\"_blank\" rel=\"noopener\"><strong>recycling industry<\/strong><\/a> is to address and resolve the challenges that these facilities suffer as of now.<\/p>\n<p>Improving efficiency of a recycling facility is one of biggest objectives of any organisation at this given time. Deep learning aspects would help immensely in that capacity.<\/p>\n<p>Introducing deep learning aspects would eliminate the handpicking station, and make the entire process that much smoother. The <a href=\"https:\/\/www.fusioninformatics.com\/blog\/what-is-business-process-automation\/\" target=\"_blank\" rel=\"noopener\"><strong>automation<\/strong><\/a> of sorting will also help in ensuring that recycling processes do not breakdown due to foreign materials in the line.<\/p>\n<p>It is essential to understand that the speed of production of waste and the capacity to recycle them is not currently balanced. In an ideal situation, the waste produced would be proportional to those recycled, and speed is the only factor that can help balance the scale.<\/p>\n<p>Therefore, the prime focus of integrating artificial intelligence would be to help accelerate the process of recycling. Major support is also likely from the aspects of <a href=\"https:\/\/www.fusioninformatics.com\/blog\/impact-of-big-data-on-retail-2022\/\" target=\"_blank\" rel=\"noopener\"><strong>Big Data<\/strong><\/a>. Big Data refers to the plethora of information that has been collected and can be put to use with the help of various forms of machine learning already in place across the entire world.<\/p>\n<h4>Conclusion<\/h4>\n<p>Artificial intelligence is being deployed to a multitude of industries; and is gaining momentum that holds the capability of changing how we react, operate, and comprehend regular activities.<\/p>\n<p>The possibilities of artificial intelligence, machine learning, and Big Data are immense. Therefore, their application to any industry will kick-start a revolutionising effect.<\/p>\n<p>Furthermore, living sustainably is of utmost importance in the present world \u2014 thus, it is rightfully expected that artificial intelligence will be introduced into recycling facilities in full swing within the next few years.<\/p>\n<h4>About Fusion Informatics<\/h4>\n<p>Technology and sustainable living, for a long time, were believed to be mutually exclusive. Technology is often seen as the villain because of how it brought humans away from nature during the past two centuries.<\/p>\n<p>Technology has come full circle and now remains the most powerful defence against the deteriorating state of Mother Nature. We, at Fusion Informatics, understand the responsibility of technology in building a new world that promises a more sustainable style of living.<\/p>\n<p>We are determined to help our clients find ways in which they can give back to Mother Nature through sustainable technology.<\/p>\n","protected":false},"excerpt":{"rendered":"Smart robots, sensors, and vision systems with the power of artificial intelligence are making their way into every&hellip;\n","protected":false},"author":1,"featured_media":5509,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[811],"tags":[810,1480,12],"class_list":{"0":"post-5507","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-artificial-intelligence","9":"tag-development-of-artificial-intelligence","10":"tag-technology"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Recycling through AI | Fusion Informatics Pvt Ltd.<\/title>\n<meta name=\"description\" content=\"Artificial intelligence is recycling waste! So for better understanding how they&#039;re processing things and making their way into every industry. Read this.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fusioninformatics.com\/blog\/recycling-through-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Recycling through AI | Fusion Informatics Pvt Ltd.\" \/>\n<meta property=\"og:description\" content=\"Artificial intelligence is recycling waste! So for better understanding how they&#039;re processing things and making their way into every industry. 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