IoT-based Alcohol Detection Prototype for Public Transportation Drivers

Excessive consumption of alcoholic beverages can reduce a person’s performance in driving, increasing the risk of accidents. By using the latest technology, such as IoT, alcohol content detection for public transportation drivers can be carried out. Here, we proposed the IoT-based prototype using an MQ3 sensor that will detect alcohol content or more from the exhalation of the driver. For real-time monitoring, the device will connect to the company management’s smartphone using Blynk and send the notification via the Internet. We developed the prototype using the Research and development approach. From the evaluation, we can conclude that the prototype can give a fast detection response (3 seconds) if the distance is not more than one centimeter. It will respond in 5 seconds for 3 centimeters distance, and it did not give a response for more than 3 centimeters distance. In the product trial, we used beer (5% alcohol), Red Wine (10% alcohol), Soju (20% alcohol) and Vodka (40% alcohol). The system can also notify management if it detects 5% or more alcohol content.