Analysis of android application based on images in cellular phone

Abstract

Cellular phone based android operating system as known as Smartphone. Nowadays, we commonly use Smartphone to communicate with other peoples. It offers many variant application and easy access social media such as whatsapp and line. There is a lot of game which you can download free or prepaid in Google play store. We focused our research in freeware nFace, how hot are you (HHAY), Guess my Age (GMA), Face Age (FA), and Golden Ratio Face Rater (GRFR). To create a machine that indistinguishable from human intelligence, a good artificial intelligence (AI) is essential. Then, we want that machine to understand that even difficult to describe by spoken language. These machines had been well known as Machine Learning (ML). With Machine Learning algorithms and exploitation of computer, we can process image data which previously required power beyond the capabilities of mobile devices. There are four major Smartphone platforms available Apple’s iOs, Google’s Android, Microsoft Windows Phone and RIM Blackberry. Most researcher had chosen android as platform for the mobile application because several reasons. First, it has the advantage of being free to develop for and development can be done on any platform. It also there are ports of popular computer vision libraries and the android SDK (Software Development Kit) includes APIs (Application Programming Interface) for face detection. Android SDK was used to create application that able to call phone’s camera to allow the user for take photos. The native code which performs the prediction is platform independent. So it will be feasible to use on other platforms. For the users benefit, researcher chooses automatic facial analysis to avoid monotonous task.