Abstract
Smart and autonomous vehicles have, since inception of the concept, been always focused on presenting the system data to make environment based decisions. The concern has always been with monitoring the surroundings of the vehicle and make decisions based on the data presented. Vehicles today may not be entirely autonomous, but they are capable enough to still be an aide to drivers today. Features today such as Ford's adaptive cruise control and lane keeping system, or Subaru's forward collision help cover the latency of human reaction time and prevent collisions and other accidents. While the debate will undoubtedly continue in the foreseeable future as to whether autonomous vehicles will hit the mainstream market, small, cost affordable systems can be built to aid the driver on top of what is already currently available in vehicles. While most vehicle monitoring systems currently aim to monitor the environment around a vehicle, what this thesis aimed to do, was develop a system that monitored the driver themselves. This project upon building a system that would monitor the health statistic of a driver, and if any accident, event or anomaly was detected, those statistics would be sent directly to local emergency services. After research was conducted regarding what was currently available and in development, a prototype system was built that would collect data about the user via various sensors connected to the system. From there, an improved system was developed around the idea of the Internet of Things (IoT). The system was expanded upon by incorporating a wireless sensor network, and well as collecting data from smart watches as well as smartphones. In the end, a system was developed that would collect data wirelessly from multiple sensors and devices and report said data if necessary.