Identification and Detection of Industrial Faults Using Raspberry Pico Bot


Authors : Anusha Deshpande; Vedas Akash; Pranay Pyarasani; Salugu Himalaya

Volume/Issue : Volume 9 - 2024, Issue 3 - March


Google Scholar : https://tinyurl.com/29prepbm

Scribd : https://tinyurl.com/y4a5h6fh

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR1730

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This research aims to address safety concerns in Industry 4.0 by introducing the Industrial Fault Monitoring Bot. This robot is designed to detect potential hazards such as gas leaks, fires, or machine malfunctions before they escalate into major accidents. By swiftly navigating through different units of a manufacturing plant and continuously monitoring safety conditions, the bot provides real-time updates to the safety unit, enabling preventive actions to be taken promptly. Through this innovative solution, the lives of employees and surrounding communities can be safeguarded from various industrial threats.

Keywords : Raspberry Pico.

This research aims to address safety concerns in Industry 4.0 by introducing the Industrial Fault Monitoring Bot. This robot is designed to detect potential hazards such as gas leaks, fires, or machine malfunctions before they escalate into major accidents. By swiftly navigating through different units of a manufacturing plant and continuously monitoring safety conditions, the bot provides real-time updates to the safety unit, enabling preventive actions to be taken promptly. Through this innovative solution, the lives of employees and surrounding communities can be safeguarded from various industrial threats.

Keywords : Raspberry Pico.

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