Improving Business Marketing Using Logo Detection

dc.contributor.advisor	Sammaneh, Haya
dc.contributor.author	Abu Shunnar, Wesam
dc.contributor.author	Asaad, Mohammed
dc.date.accessioned	2019-02-07T09:34:32Z
dc.date.available	2019-02-07T09:34:32Z
dc.date.issued	2018
dc.description.abstract	In this project the aim is to develop an application that will analyze the images from the social media using the social media analytic tools that we provide, and to export the findings into high quality reports ready for meetings and presentations. The base of this project is detecting logos in collected images using machine learning that will be done through Neural Network that is developed and trained using TensorFlow. The application will depend on collecting related images from social media -Instagram and Twitter- and search for the company’s logo in these images, it will also detect the location where and when these images were taking, and draw charts that will explain the spread of the logo in different regions, this will help the companies use insights gathered from our reports to plan their next social media marketing campaigns.	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.11888/14121
dc.language.iso	en	en_US
dc.title	Improving Business Marketing Using Logo Detection	en_US