ai4workplacesafety.com valuation and analysis
Robots.txt Information
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Meta Tags
| Title | AI4WorkplaceSafety | AI4WorkplaceSafety project |
| Description | PROJECT ABOUT VISION OBJECTIVES PROJECT STRUCTURE DELIVERABLES (PUBLIC) CONSORTIUM NEWS DISSEMINATION PUBLICATIONS MEDIA DATA AND CODE CONTACT Select Page |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 205.196.222.228 |
| Location | United States |
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ai4workplacesafety.com Valuation
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US$868
Last updated: 2023-05-20 06:06:49
ai4workplacesafety.com has Semrush global rank of 0. ai4workplacesafety.com has an estimated worth of US$ 868, based on its estimated Ads revenue. ai4workplacesafety.com receives approximately 100 unique visitors each day. Its web server is located in United States, with IP address 205.196.222.228. According to SiteAdvisor, ai4workplacesafety.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$868 |
| Daily Ads Revenue | US$0 |
| Monthly Ads Revenue | US$24 |
| Yearly Ads Revenue | US$288 |
| Daily Unique Visitors | 6 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| ai4workplacesafety.com. | A | 895 | IP: 205.196.222.228 |
| ai4workplacesafety.com. | NS | 14400 | NS Record: ns3.dreamhost.com. |
| ai4workplacesafety.com. | NS | 14400 | NS Record: ns2.dreamhost.com. |
| ai4workplacesafety.com. | NS | 14400 | NS Record: ns1.dreamhost.com. |
HtmlToTextCheckTime:2023-05-20 06:06:49
| PROJECT ABOUT VISION OBJECTIVES PROJECT STRUCTURE DELIVERABLES (PUBLIC) CONSORTIUM NEWS DISSEMINATION PUBLICATIONS MEDIA DATA AND CODE CONTACT Select Page A multidisciplinary approach for the detection of workplace injuries’ precrussors AI4WorkplaceSafety project aims to automate the detection of 1) non-use of personal protective equipment and 2) non-ergonomic execution of repetitive work assignments in an industry workspace. The proposed concept assumes the development and fusion of algorithms for the human pose estimation, object detection, and classification with algorithms for the analysis of corresponding acting forces, EEG and EMG signals measured with wearables. The interdisciplinary study is expected to enable a deeper understanding of the correlation between employees’ activities and risks from injuries at repetitive work workplaces. Automatic detection of injuries precursors is expected to significantly reduce efforts and costs of both workplace safety management and the |
HTTP Headers
HTTP/1.1 301 Moved Permanently Date: Mon, 16 Jan 2023 09:04:58 GMT Server: Apache Location: http://www.ai4workplacesafety.com/ Content-Type: text/html; charset=iso-8859-1 |