Android based vehicle diagnostics and early fault estimation system

Abstract

With social, mobile, analytics and cloud technologies (SMAC stack) the driving assistance system can be improved by monitoring both vehicle parameters and driving pattern. Vehicle condition due to parts condition also influences the danger-level during driving. The proposed system recognizes the danger-level alerts during driving by considering both driving pattern and vehicle condition. The system built using android when paired with the vehicle using Bluetooth or USB port will alert the user through voice alerts by inferring the danger levels arising due to user's driving style and vehicle condition. The live vehicle parameters are fetched from vehicle to android device by using OpenXC framework. The system can be personalized by the user while selecting the alerts of his choice and can also set the threshold values corresponding to the alerts. When the vehicle parameter value corresponding to the alerts from OpenXC framework goes beyond or below the threshold value set by the users the danger level alerts are triggered by the system. The system also helps the user to upload the reports to the manufacturer's Cloud Platform. If Car manufactures provides the cloud platform and makes agreement with the user to share the report data, then this will help the manufactures to foresee any major issues from the majority of the users report pattern upfront (Example: using VIN number, they can check the batch) and arrange for callback if the problem arises in many vehicles of the same batch. User will be able to share the real-time performance details during service and also to his friends in Social media, thereby showcasing his driving skills.