{"id":1567,"date":"2022-10-03T03:31:03","date_gmt":"2022-10-03T07:31:03","guid":{"rendered":"https:\/\/mriomega.com\/?p=1567"},"modified":"2025-09-05T01:40:51","modified_gmt":"2025-09-05T05:40:51","slug":"how-ai-is-enhancing-the-workplace-safety-and-closing-blind-spots","status":"publish","type":"post","link":"https:\/\/mriomega.com\/index.php\/blog\/how-ai-is-enhancing-the-workplace-safety-and-closing-blind-spots\/","title":{"rendered":"How AI Is Enhancing the Workplace Safety and Closing Blind Spots"},"content":{"rendered":"
\"AI<\/figure>\n\n\n

<\/p>\n\n\n\n

Continuous monitoring systems that operate 24\/7 can detect & alert workers to potential dangers before they happen, saving manufacturers much money.<\/em><\/p>\n\n\n\n

Almost\nevery profession saw a significant decrease in fatal accidents and major\ninjuries during the 20th century. According to the Economic History Association\n(EHA), a portion of it can be attributed to fewer dangerous jobs and\ntechnological advancements that made employees’ daily tasks less risky.<\/p>\n\n\n\n

Before\nthe 20th century, industrial accidents were much more common yet relatively\ninexpensive for employers because it was harder for an injured employee to\nclaim a company for damages. For example, the EHA reported in 1900 that around\nhalf of all severely injured employees received compensation averaging only\nabout half of their annual wage.<\/p>\n\n\n\n

According\nto The National Safety Council, in 2020, the average workplace-related injury\ncompensation was roughly $44,000<\/strong>, while fatal injuries\ncost over $1.3 billion<\/strong>. The entire cost of work injuries\nthat year was $163.9 billion<\/strong>. This figure included lost\nearnings, production, hospital bills, administrative fees, recovery period, and\nfirm property damage costs.<\/p>\n\n\n\n

Evolution in the priorities<\/strong><\/h2>\n\n\n\n

Increasing\nemployee safety has become a deep concern in the workplace and, as a result, a\nsignificant economic incentive for employers, potentially saving them thousands\nof dollars every time an incident occurs due to the rapid increase in cost. As\na result, investing in safer equipment had become a key concern for businesses\nover a half-century ago and remains so today.<\/p>\n\n\n\n

Nearly\nevery profession has adopted this principle of promoting safety, particularly\nin industries with higher employee dangers, such as manufacturing and\nconstruction. As a result, workplace accidents have decreased significantly. In\n1928, about 20,000<\/strong> workplace accidents were reported\nacross the country. Even though the country’s population had tripled by 2020,\nworkplace deaths were 4,113, including 340 in industry.<\/p>\n\n\n\n

Reactive to Proactive<\/strong><\/h2>\n\n\n\n

Manufacturing\nincludes physical labor & repetitive activity, making it easier for\ncompanies to identify potential safety risks for their employees. With the\nadvancement of information about workplace dangers and best – practices in\nmanufacturing, businesses have been able to design programs and instruments to\nreduce the number of work-related injuries. Most of these programs are reactive\nand designed to provide safety in risky situations. However, to avoid these\nunpleasant events in the first place, a proactive approach is necessary.<\/p>\n\n\n\n

However,\ninnovations in industrial technology have enabled artificial intelligence to\nclosely monitor work activities to detect potential disasters before they\noccur. AI can now analyze videos captured by cameras placed throughout the\nfactory floor to see possible employee safety violations & alert workers to\nthe hazard. Assume the camera detects an employee who is not wearing the proper\nsafety equipment or is too close to a dangerous vehicle. In that situation, it\nwill contextualize the data and notify the company of the safety hazard.<\/p>\n\n\n\n

Moving Forward<\/strong><\/h2>\n\n\n\n

Although\nimplementing AI monitoring systems seems to be a simple solution that can\nsignificantly decrease workplace safety risks, a company action plan is\nrequired before implementing these technologies. Manufacturing managers must\nensure that they select a system integrator aligned with their company’s goals\n& understand how to integrate it throughout the company to provide necessary\ndata effectively.<\/p>\n\n\n\n

Although\nmanufacturing floor procedures share many similarities, each operation will\nhave its own set of flaws to address. According to McKinsey, around 75% of\nsupply chain managers underestimate both time and expense of integrating these\ntechnologies. Successful floor managers should avoid finding blind spots and\ndevise a solution to enhance worker productivity and safety.<\/p>\n\n\n\n

Organizations\nmust carefully pick and constantly upgrade their AI system integrator if AI is\nimplemented. Employees must be well-trained in new operational processes and\nbest practices to manage the AI transition. According to the report, this is\nthe most critical barrier to company adoption.<\/p>\n\n\n\n

Over\nthe past century, evolving the knowledge of best practices in the manufacturing\nsector and technological advances such as AI have proven to be viable answers\nfor increasing workplace safety and will continue for many years.<\/p>\n","protected":false},"excerpt":{"rendered":"

Continuous monitoring systems that operate 24\/7 can detect & alert workers to potential dangers before they happen, saving manufacturers much money. Almost every profession saw a significant decrease in fatal accidents and major injuries during the 20th century. According to the Economic History Association (EHA), a portion of it can be attributed to fewer dangerous…<\/p>\n","protected":false},"author":1,"featured_media":2446,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[589],"tags":[],"class_list":["post-1567","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/comments?post=1567"}],"version-history":[{"count":5,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1567\/revisions"}],"predecessor-version":[{"id":2326,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/posts\/1567\/revisions\/2326"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/media\/2446"}],"wp:attachment":[{"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/media?parent=1567"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/categories?post=1567"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mriomega.com\/index.php\/wp-json\/wp\/v2\/tags?post=1567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}