Dynamic data collection on digital maps using android smartphone

Smartphone is the term given to the present day mobile phones that utilize tasteful working frameworks and bigger interactive touch display screens, which are used as an interface for the user to run versatile applications. On the off chance that no declaration is made by the producers on the typical meaning of the cell phone, some of them view the cell phone as a phone that offers the upsides of browsing the Internet, synchronizing electronic mails, reading and editing MS Office documents, as well as having a full "QWERTY" console. However, generally, the most commonly referred to nowadays is the cellphone that deals with one of the accompanying working frameworks such as Windows, Symbian or its subordinates, Linux or its subsidiaries and Blackberry. These cannot be categorized as one-of-a-kind from laptops, private computers or any other system in history, they rather can be all smart devices that consist of a two-part complimentary to each other, namely the hardware, the physical section that is visible to touch, and the software which is the programmatic operator section of the system (operating system), which runs the hardware in order to do the required job. The explosive growing statistics onto smartphone stations have quite a few outlooks of value for service companies and operators, such as teaching consumer knowledge, mobile units selling, and useful resource allocation, etc. The earlier studies on smartphones are incomplete in general measures for more applications which are needed for the daily activities. In this study, a dynamic information inquiry's device is offered to find out the machine records onto a series of analysis. The realization of the statistics series is done for a good measure using a live method. Therefore, the analysis motive is also designed to adapt to the dynamic additions of data. Also, this method can be typically extended with different modules; these system interfaces can be incorporated using data resources on Digital Maps. In this thesis, we have collected information from digital maps using mobile devices android based smart equipment. For this purpose, Google maps are used. A map of a selected region has been used to identify places with vital prescriptions (hospitals, schools, shopping mall, restaurants, etc.). This data is presented in the tables as statistical data.