Sunday, October 21, 2012


image source Google search

        Google is added 25 million building FOOTPRINTS TO MAPS

  In the world all people lived in marketing.  Many business people traveled different places. Any marketing many people involving in promote their product, in this consists  lot of employees are working .they used vehicles or other sources,  used cell phones like Google nexus, android, galaxy phones. Many people use Google maps to use see their own locations and other.  To build their own location and enabled applications. Google launched two new applications.

        Google Maps Tracks applications allow an organization or company to build their own applications that can store, display and analyze Global Position Searching  data on a map. The API is built on top of Google’s reliable cloud infrastructure and offers specialized features such as  geological fencing

               Google Maps Geological location API enables an application or device to determine its own location without the use of Global Position Searching by looking up the locations of nearby Wi-Fi access points and cell towers. By limiting Global Position Searching usage, a device can save battery life and work indoors or in remote areas (like rural areas).

The Google maps tracks and geological location application allows Management Company can en quire its vehicles with advance positioning capabilities. In heavy traffic cities company can locate its employees where they are staying and which company they are stayed.

This is helps track all vehicles we track a man in bus or train or any other vehicles exactly.  The Google tracks application is called geological fencing.

     The Google Maps Tracks API allows businesses to take advantage of a technique called geological-fencing, where a company can create a virtual region on a map to notify a device when it enters or exits a predefined area. For example, if a company could set up notifications or any other information that would automatically alert drivers whenever they were 10 miles outside their delivery point and need to turn back. Automated notifications could reduce dependence on employees, allowing the delivery company to use their employees more efficiently.

The big increase in data detail comes from aerial photography, Google explains in the Google officially announcing the change. Feeding aerial photos into an algorithm, its engineers used computer vision techniques to render shapes of the building, adding a wealth of information to its maps.