{"id":61229,"date":"2022-03-03T22:57:01","date_gmt":"2022-03-03T14:57:01","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=61229"},"modified":"2022-03-04T12:50:31","modified_gmt":"2022-03-04T04:50:31","slug":"deploy-hard-hat-detection-for-enforcing-workplace-safety","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/","title":{"rendered":"Deploy hard hat detection for enforcing workplace safety"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-1030x573.png\" alt=\"\" class=\"wp-image-61250\" width=\"773\" height=\"430\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-1030x573.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-300x167.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-768x427.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-1536x855.png 1536w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-2048x1140.png 2048w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/Screen-Shot-2022-03-03-at-10.53.14-PM-1024x570.png 1024w\" sizes=\"(max-width: 773px) 100vw, 773px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Prioritize workplace safety<\/h2>\n\n\n\n<p>Safety, always the central concern to the industrial environment, can be enhanced by edge AI.  The <a href=\"https:\/\/www.osha.gov\/\">Occupational Safety and Health Administration (OSHA)<\/a> requires businesses to provide personal protective equipment (PPE) to protect employees from hazards that could cause injury, where OSHA Regulation 1910.135 states that employers should ensure that each affected employee wears a protective hard hat while working in areas where there is a risk of head injury from falling objects.  According to <meta charset=\"utf-8\"><a href=\"https:\/\/www.mckinsey.com\/industries\/advanced-electronics\/our-insights\/navigating-opportunity-in-the-us-personal-protective-equipment-market\">Mckinsey<\/a>, the U.S PPE market is expected to grow 12.5 percent a year through 2024.  It is good to see employees\u2019 health and safety is being prioritized. <meta charset=\"utf-8\">Enterprises are also seeking ways to build an intelligent system in an easier and integrated way to reduce accidental risk. <\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" width=\"1030\" height=\"487\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-1030x487.png\" alt=\"\" class=\"wp-image-61246\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-1030x487.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-300x142.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-768x363.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-1536x726.png 1536w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-2048x968.png 2048w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-11-1024x484.png 1024w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><figcaption>?Deioitte: <a href=\"https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/ru\/Documents\/finance\/health_safety_construction_industry_eng.pdf\">Heath and Safety in the Construction<\/a><\/figcaption><\/figure><\/div>\n\n\n\n<p>Edge devices embedded with AI are capable of monitoring PPE including hard hats compliance in the work environment in real-time and signaling any PPE violations to safety and maintenance. Computer vision combined with machine learning can automate the process of monitoring PPE compliance. Integrating with  CCTV systems, building a pipeline autonomously identify employees who are not using or inappropriately using PPE is easier by seamless integration and flexible development. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Automated real-time <meta charset=\"utf-8\">hardhat-wearing detection<\/h2>\n\n\n\n<p><meta charset=\"utf-8\">In today&#8217;s article, we will share with you how to deploy an automated real-time detection for hardhat-wearing compliance, along with the alert at the workspace, right on the<a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/\"> NVIDIA AI embedded system. <\/a><\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-1030x744.png\" alt=\"\" class=\"wp-image-61245\" width=\"515\" height=\"372\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-1030x744.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-300x217.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-768x555.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-1536x1110.png 1536w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10-1024x740.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-10.png 1708w\" sizes=\"(max-width: 515px) 100vw, 515px\" \/><figcaption>?Wikipedia: <a href=\"https:\/\/en.wikipedia.org\/wiki\/File:Cologne_Germany_Industrial-work-with-Personal-Protective-Equipment-04.jpg\">Industrial inspector wearing a thermoplastic hard hat in Cologne, Germany<\/a><\/figcaption><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Key Tools<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/studio.edgeimpulse.com\/login\">Edge Impulse Studio<\/a>\u00a0to upload dataset, <strong>acquire custom data<\/strong>, visualize the data, train the machine learning model and validate the inference results.<\/li><li>Part of the\u00a0<a href=\"https:\/\/github.com\/NVlabs\/ffhq-dataset\">Flickr-Faces-HQ (FFHQ)<\/a>\u00a0(under Creative Commons BY 2.0 license) to rebalance the classes in our dataset.<\/li><li><a href=\"https:\/\/docs.edgeimpulse.com\/docs\/edge-impulse-for-linux\">Edge Impulse Linux SDK<\/a> and\u00a0<a href=\"https:\/\/docs.edgeimpulse.com\/docs\/cli-overview\">Edge Impulse command line interface (CLI)<\/a>\u00a0.<\/li><li>NVIDIA Jetson platform for model deployment. We use Jetson Nano Module attached on A203 carrier board, but following list will also support:<ul><li><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\">NVIDIA\u00ae Jetson Nano\u2122 Developer Kit<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Developer-Kit-p-4573.html\">NVIDIA\u00ae Jetson Xavier\u2122 NX Developer Kit<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-AGX-Xavier-Development-Kit-p-4418.html\">NVIDIA Jetson AGX Xavier Developer Kit<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/Jetson-SUB-Mini-PC-Blue-p-5212.html\">Jetson SUB Mini PC<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/A203-Carrier-Board-for-Jetson-Nano-Xavier-NX-V2-p-5214.html\">A203 (Version 2) Carrier Board<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/A205-Carrier-Board-for-Jetson-Nano-Xavier-NX-p-5133.html\">A205 Carrier Board<\/a><\/li><li><a href=\"https:\/\/www.seeedstudio.com\/A206-Carrier-Board-for-Jetson-Nano-Xavier-NX-p-5132.html\">A206 Carrier Board<\/a><\/li><\/ul><\/li><\/ul>\n\n\n\n<p>Hence, <meta charset=\"utf-8\">?kudos to Louis Moreau and Mihajlo Raljic from Edge Impulse, we followed their <a href=\"https:\/\/www.edgeimpulse.com\/blog\/enhancing-health-and-safety-in-industrial-environments-with-embedded-machine-learning\">guide<\/a> trained an embedded Machine Learning model to detect hard hat, and finally deploy it to the&nbsp;<strong>Jason Nano<\/strong>. The&nbsp;<strong>Jason NX<\/strong>&nbsp;and the&nbsp;<strong>Jetson AGX<\/strong>&nbsp;are both supported. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/wiki.seeedstudio.com\/HardHat\/#deploy-the-ml-model-to-the-jetson-nano\">New wiki guide for hard hat detection deployment<\/a><meta charset=\"utf-8\"><\/h2>\n\n\n\n<p>Follow our <a href=\"https:\/\/wiki.seeedstudio.com\/HardHat\/#deploy-the-ml-model-to-the-jetson-nano\">wiki tutorial<\/a>, create an account at Edge Impulse, start from model training to final deployment. This project also has been publicly released. Clone the <a href=\"https:\/\/studio.edgeimpulse.com\/public\/34898\/latest\">project<\/a>, go through every step to get a better understanding. You can use it, modify it and integrate it into a complex application.<\/p>\n\n\n\n<p>You can also clone this <a href=\"https:\/\/github.com\/Zachay-NAU\/Hard-Hat-Detectation\">Hard Hat Detection Github repository<\/a> for environment setting up and downloading datasets, however, we will more recommend you use Edge Impulse to build a custom dataset using a camera with Jetson Nano or your PC.  Therefore, the accuracy will much more match with real scenarios.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Follow the <a href=\"https:\/\/wiki.seeedstudio.com\/HardHat\/#deploy-the-ml-model-through-linux-python-sdk\">deployment <\/a>commands, run your real-time detection<\/h2>\n\n\n\n<p><meta charset=\"utf-8\">The deployed edge box can enable real-time monitoring of hard hats with respect to the work environment and can send alerts in case of any violations.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"546\" height=\"621\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-4.png\" alt=\"\" class=\"wp-image-61236\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-4.png 546w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/03\/image-4-264x300.png 264w\" sizes=\"(max-width: 546px) 100vw, 546px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Step further on particular application<\/h2>\n\n\n\n<p>Regarding the particular scenario, <meta charset=\"utf-8\">we will more recommend you use a public dataset, combining a custom dataset at Edge Impulse studio.  Therefore, the accuracy will much more match with real scenarios. <meta charset=\"utf-8\"><\/p>\n\n\n\n<p>PPE compliance also includes gloves, masks, goggles, etc. Once you finish custom model training, you can also wrap everything into an image, directly deploy the full PPE detection pipeline right at the workplace. Stay tuned with us for more guidance. <\/p>\n\n\n\n<p>Edge Impulse made ML development easier. Combining <meta charset=\"utf-8\">compact power-efficient AI systems, the process to deploy the edge AI solving specific workplace safety needs becomes faster and more flexible.<\/p>\n\n\n\n<p><meta charset=\"utf-8\">However, to reach zero harm, companies must consequently go far beyond their current practices. <\/p>\n\n\n\n<figure class=\"wp-block-image is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/files.seeedstudio.com\/wiki\/2.23jetsonedge\/jetsonedge.png\" alt=\"\" width=\"271\" height=\"55\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">About Edge Impulse <\/h2>\n\n\n\n<p>Edge Impulse is the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises. <a href=\"https:\/\/www.edgeimpulse.com\/\">Get started <\/a>today ?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Work with Seeed Ecosystem <\/h2>\n\n\n\n<p>Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real-world.&nbsp;By consolidating&nbsp;Seeed\u2019s best-in-class hardware, cutting-edge&nbsp;technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster&nbsp;industries digital transformation.&nbsp;<meta charset=\"utf-8\">We are looking for partners to join our ecosystem together to deliver solutions to different industries together. <\/p>\n\n\n\n<p>Please contact&nbsp;cooperation@seeed.cc&nbsp;for more partnership ecosystem information.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"1030\" height=\"484\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41-1030x484.png\" alt=\"\" class=\"wp-image-59818\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41-1030x484.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41-300x141.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41-768x361.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41-1024x481.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2021\/12\/image-41.png 1153w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/figure><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Prioritize workplace safety Safety, always the central concern to the industrial environment, can be enhanced<\/p>\n","protected":false},"author":200,"featured_media":61250,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"iawp_total_views":0,"footnotes":""},"categories":[1],"tags":[3172,1340,3185,1312,3737,142],"class_list":["post-61229","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-edge-impulse","tag-jetson-nano","tag-jetson-xavier-nx","tag-nvidia","tag-object-detection","tag-open-hardware"],"yoast_head":"<!-- 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