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In current automotive industry OEMs and suppliers are facing the ever-increased challenge to provide in-vehicle infotainment features that are exciting to their customers. Hence android devices are becoming exceptionally adopted because of its enhanced customer experience with mobility and connectivity, Increased customization, openness, and scalability. With android automotive, car makers can create powerful infotainment systems designed for the digital age. This paper deals with the various testing solutions for Android infotainment System. It covers functional and non-functional testing solution and tools for an android rear seat entertainment system manually and with automation. Automation includes the use of generic test automation framework with the help of automated test failure log analyzer and integration of car simulation. In the fast-moving era, there is always a need of faster delivery and feedback with better quality.

Reductions of hardware costs as well as implementations of new innovative functions are the main drivers of today's automotive electronics. Indeed more and more resources are spent on adapting existing solutions to different environments. At the same time, due to the increasing number of networked components, a level of complexity has been reached which is difficult to handle using traditional development processes. The automotive industry addresses this problem through a paradigm shift from a hardware-, component-driven to a requirement- and function-driven development process, and a stringent standardization of infrastructure elements. One central standardization initiative is the AUTomotive Open System ARchitecture (AUTOSAR). AUTOSAR was founded in 2003 by major OEMs and Tier1 suppliers and now includes a large number of automotive, electronics, semiconductor, hard- and software companies.

All safety features built-in cars do not necessarily ensure safety automatically. In the driving position, the driver should be able to reach the steering wheel, gear shifter and other relevant car controls comfortably. This paper proposes an automated system that works on camera-based computer vision technology which identifies the person's attributes such as height using the motion sensor camera to adjust the seat including head restraint while the person enters the car and various other controls such as steering wheel position, adjustment of gear shifter in a linear motion. Once they start driving, the position of side-view mirrors and IRVM mirrors will be adjusted based on eye movement. By this system, a comfortable and safe ride can be created for the driver making our roads safer.