Site safety with ability of Artifical Intelligent camera / Marshitah Mustafa and Mohd Fareh Majid

Mustafa, Marshitah and Majid, Mohd Fareh (2023) Site safety with ability of Artifical Intelligent camera / Marshitah Mustafa and Mohd Fareh Majid. In: UNSPECIFIED.

Abstract

Site safety with the ability of Artificial Intelligence (AI) camera highlights the integration of advanced technology to enhance safety in various work environments. This innovative solution combines AI-powered cameras with real-time monitoring capabilities to detect potential hazards and ensure the well-being of workers. The AI camera system utilises computer vision algorithms to identify safety risks, track movements, and analyse behaviours that could lead to accidents. By providing early warning alerts and enabling prompt action, the AI camera significantly improves safety management in construction sites, industrial facilities, and other hazardous locations. This innovation has garnered attention in the construction industry and among companies, as it brings many benefits and positive outcomes to safety monitoring work.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Mustafa, Marshitah
2021846946@student.uitm.edu.my
Majid, Mohd Fareh
mohdf898@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Editor
Mahayuddin, Siti Akhtar
UNSPECIFIED
Editor
Ishak, Noor Rizallinda
UNSPECIFIED
Editor
Hadzaman, Nor Asma Hafizah
UNSPECIFIED
Editor
Ismail, Sallehan
UNSPECIFIED
Designer
Mahyuddin, Muhammad Naim
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: BUILDCON 2023 Compilation of Project Innovation Ideas Semester March – August 2023
Page Range: p. 76
Keywords: Artificial Intelligence (AI), camera, eco-friendly solution
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/101551
Edit Item
Edit Item

Download

[thumbnail of 101551.pdf] Text
101551.pdf

Download (1MB)

ID Number

101551

Indexing

Statistic

Statistic details