Real-World Implementation of IoT-based Temperature Detection Helmet Using Thermal Imaging Cameras in Manufacturing

The use of Internet of Things-based thermal sensor cameras for temperature detection in manufacturing has gained popularity in recent years due to the potential of these cameras to increase the efficiency of manufacturing processes while simultaneously reducing the time wasted on downtime. On the other hand, there is a lack of implementation studies in the real world that offer valuable insights into the employment of these devices in manufacturing settings. This study aims to present a case study of an actual-world use of Internet of Things-based thermal sensor cameras for temperature detection in a manufacturing facility. The worker will wear a smart helmet with integrated Internet of Things-based temperature detection and a thermal sensor camera throughout the study. The data will then be collected, analyzed, and used to identify temperature anomalies that may occur during the manufacturing process. The study results show that an Internet of Things (IoT)-based thermal sensor camera-equipped smart helmet can detect temperature anomalies in manufacturing processes and can be integrated into preexisting systems. Nevertheless, the study draws attention to some of the challenges associated with data privacy and security, cost-effectiveness, and scalability of IoT-based thermal sensor cameras used in manufacturing.