Application development on Android phone I

• Main Author: Sng, Ping Yi.
• Other Authors: Yeo Chai Kiat
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; DRNTU::Engineering::Computer science and engineering::Software::Software engineering
• Online Access: http://hdl.handle.net/10356/55079
• Institution: Nanyang Technological University

Mobile phone has become an indispensable tool in our daily life. It is no longer just a communication medium but a computation device. Confidential personal data and important information are stored within the device. Protecting these personal and confidential data when the phone is stolen or lost has become a task of top priority. This project proposed to develop an enhanced anti-theft application with remote access to devices via web browser. The initial objective of this application is to provide user with location tracking capability for device recovery when the phone gets stolen or misplaced. Based on the comparison of the related applications in the Android market, a list of useful features are noted and to be implemented in this project application. This project also looks into mobile application solution for the hearing impaired students as they have trouble understanding lectures. Currently students are given incentives to assist in manually transcribing the lectures for the impaired student. Speech-to-text feature has been implemented in this mobile application project to ease the transcription and note taking process. Taken, an anti-theft application has been successfully developed on Android platform. This application provides comprehensive remote features such as location tracking, phone lock, audio alarm, capture image, audio recording, video recording, wiping device and backing up data. One of the main feature, Snap-the-Thief captures the image of the user after the third input of incorrect password. Google image search has been incorporated to improve the precision of location tracking by identifying the prominent features around the area.