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  • 标题:Artificial Intelligence powered Dump Truck Smart Management System Case Study by viAct
  • 本地全文:下载
  • 作者:Gary Ng ; Hugo Cheuk ; Surendra Singh
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:8
  • 页码:180-186
  • DOI:10.35629/5252-03082125
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Dump Trucks are essential vehicles in any construction site for carrying materials. These vehicles have always been tedious to be managed due to their multi utilitarian nature which seeks a lot of surveillance effort. However, manual surveillance from entry to exit of job sites for these dump trucks is not feasible and thus most of the construction sites lack proper management of these vehicles which in long run severely effects productivity of the construction projects. Looking at the dire need to enhance productivity of construction sites, viAct’s Smart Dump Truck Management System is a holistic one-in-all AI powered solution that gives full proof assistance to on-site mangers and even remote mangers to effectively en-route dump trucks in the most effective manner. The system is a plug and play facility for any construction site with IP cameras with a resolution of 2MP or more, internet facility and power supply. The viAct’s AI processor empowers the already installed cameras in the jobsite with various smart modules to recognize, detect and record various dump truck related insights like dump truck count, open dump truck detection etc. viAct’s cloud facility helps in sending instant alerts to both on-site as well as remote managers helping them to keep a constant check on dump truck from entry to exit. Moreover, the user friendly dashboard of viAct is easy to use even by someone who has no expertise in AI to have a regular track on dump truck count, operational hours and non-compliances for better planning for higher safety and productivity.
  • 关键词:viAct.ai;viAct;Dump truck management;Artificial Intelligence;Computer vision;ConTech;AI in Construction;Construction Safety;Construction Productivity
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