PREVENTATIVE ALGORITHMS TO CAPTURE THE EARLY ONSET OF CARBON MONOXIDE RELEASE

Carbon monoxide poisoning is a problem that causes 15,000 injuries and 430 deaths per year in the U.S. As keyless ignition systems in automobiles have become wide spread, so have the substantial safety risks associated with these systems. Carbon monoxide related deaths and injuries have been reported when cars were accidentally left running or failed to shut down when the driver left the vehicle. This research is aimed at developing an algorithm that has the ability to predict rather than react to high concentrations of carbon monoxide. This sensor is programmed to have the ability to act upon this early detection by sending a signal that will open a garage door and eliminate the buildup of carbon monoxide. Four sources that produced carbon monoxide were used to test the algorithm against a commercially available sensor. The experimental sensor was shown to predict and activate at a significantly earlier time exposure than the commercial sensor. The experimental sensor and its implementations shows promising potential as a device that could save lives.