Abstract: Highlights•Monitoring of Personal Protective Equipment leveraging embedded IoT devices.•Cost-effective approach to enhance safety while minimizing worker discomfort.•Exploiting Bluetooth Low Energy signal strength (RSSI) for anomaly detection.•Deploy of machine learning algorithm on low-power embedded devices.•Public dataset of RSSI measurements for PPE wearing and anomalous removal.
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