The focus of the paper is on the evolution of IoT technology in the development of smart helmets. A systematic review was conducted to analyze advancements in smart helmet technology from 2007 to 2023. The study found that certain sensors like tri-axial accelerometers and alcohol gas sensors have become more prevalent since 2016. In terms of processors used in smart helmets, Arduino has been widely utilized since 2015 but Node MCU is gaining popularity due to its low cost and built-in Wi-Fi module. Wireless technologies like Zigbee, Bluetooth, and RF modules have been commonly employed in 85% of published work on smart helmets. Various power supply options including lithium polymer batteries, 9V batteries, rechargeable power banks, and solar panels have been used with varying rates over the past decade or so. In recent years, the design and development of smart helmets have seen significant growth particularly related to road accidents. Overall, the paper aims to provide insights into wireless technologies’ challenges and applications across diverse industries for professionals, researchers, and anyone interested in understanding the potential of smart helmet technology.