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| 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.
