Published Paper Details:

This paper aims to develop an automotive embedded system which serves as a network of communication between the various subsystems of an automobile, providing information to a local display system for the driver and an IoT platform for storage and visualization. This is achieved by gathering real time data (sensory and actuation) directly from the monitored subsystems while they are in operation, this data is then used as information for monitoring the different parameters of the subsystems with the help of software programs or algorithms to provide predictions, insights and critical recommendation providing a method for vehicle health monitoring. This model doubles as a mode of data acquisition which can be used in coordination with machine learning algorithms, cloud computing and other such data processing techniques to facilitate monitoring of elements like material aging and environmental effects, subsystem life cycles, fleet management, or simple warning systems for performance degradation etc...