Abstract:
The proposed method is applicable for indoor and outdoor environment to visualize object
for blind people. It has different application in object acknowledgement and video trail
recommender system. The estimated number of people visually slain in the world is 285 million, 39
million people are blind and 246 million people having little vision; 65 % of people are visually slain
and 82 % of all blind are 50 years older. It transformed the visual world to the blind peoples
and give the information about the objects around them as well as the location of those
objects can detect any object from any video scenery or from an image with a background
containing various color providing by their names. This is an important technic in the
field of object detection to detect any object by video images processing and divide into
segment by using background subtraction. Segmentation is very important for detecting
any feature from any object that condition is moving. We use sensors to measure
distances. Firstly we took some video and divide them some steps then we use some
method to implements the paper. Detect image are depends on an image’s c so that we try
to make all image’s in same size because sensors are detected same size image. Here when
an object stands minimum distance then sensor work to observe this object. We develop our
project by testing some important experiments.