INTERNET OF THINGS USES NODEMCU FOR PULSE DETECTION ON SMART HELMETS

Abstract

Safety and security while driving, especially for motorcycle riders, are crucial aspects of everyday life. Accidents often occur due to riders feeling tired or drowsy while operating their vehicles. Statistics indicate a high rate of traffic accidents in Indonesia, with motorcycles being one of the most frequently involved vehicles in accidents. This research aims to design a device that can detect the drowsy state of motorcycle riders using sensors on NodeMCU and the MAX30105 Sensor to measure their heart rate. When the device detects signs of drowsiness, the rider will receive a warning through a buzzer, enhancing traffic safety. Thus, this study proposes the concept of developing a smart helmet based on the Internet of Things (IoT) to reduce the risk of traffic accidents caused by drowsy riders