Abstract:
With an importance of artificial intelligence in
today’s world, deep learning technology has
developed very powerful in solving many problems in
various fields that is included in speech recognition,
natural language processing, computer vision
technologies, image processing and video, and
different kinds of multimedia. Due to the development
of deep learning approach, visual recognition
systems have achieved in good performance. With the
increase of smart application in visual recognition,
powerful object detection systems are necessarily
needed. In detecting objects, object classification is
as a very important role. Deep Neural Network
(DNN) can greatly achieved in classifying objects. In
the experiment, object detection system for stop sign
is implemented by using Regions with Convolutional
Neural Networks (R-CNN) that is used to classify
image regions included in an image. The system
intended to provide object detection accurately.
