IOT Based Industrial Anomaly Detection And Alert System For Enhanced Worker And Equipment Safety

Battini Rushi Gowtham; Nandanavanam Venkata Naga Sri Pradha; Bommaganti Ashok; Mandali Pallav Sai; Banda Srinivas Raja

doi:10.56975/ijcrt.v14i1.300931

January 1, 2026INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTSOpen Access

IOT Based Industrial Anomaly Detection And Alert System For Enhanced Worker And Equipment Safety

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Key Points

The research aims to develop an IoT-based anomaly detection and alert system to enhance safety for workers and equipment in industrial environments.
Design of an IoT system for real-time monitoring of equipment and worker safety.
Development of anomaly detection algorithms to identify unsafe conditions.
Implementation of alert mechanisms to notify workers and management about detected anomalies.
Successfully detected anomalies in industrial equipment conditions and worker safety.
Reduced response time to safety breaches through timely alerts.
Increased overall safety compliance in monitored environments.

Implication

This research demonstrates an IoT-based system enhancing worker and equipment safety through anomaly detection, suggesting improved safety outcomes in industrial settings.

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Cite This Study

Gowtham et al. (2026) studied this question.

synapsesocial.com/papers/69c4cd12fdc3bde448918fc4 https://doi.org/10.56975/ijcrt.v14i1.300931

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IOT Based Industrial Anomaly Detection And Alert System For Enhanced Worker And Equipment Safety

Key Points

Implication

Discussion

Cite This Study

IOT Based Industrial Anomaly Detection And Alert System For Enhanced Worker And Equipment Safety

Key Points

Implication

Discussion

Cite This Study

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