Academic department under which the project should be listed

Computer Science

Faculty Sponsor Name

Dr. Mingon Kang

My colleague and I have been working on this project in Dr. Kang's Research Lab (DataX Lab).

Project Type

Poster

Abstract (250 words maximum)

By applying regions on CNN features, R-CNN provides computer vision solutions for multiple-object detection. In our research, we are utilizing AlexNet’s pre-trained model in the Caffe framework to detect approximately 400 different animal species and are acclimating this work from KSU’s GPU server to the Android environment. After an individual downloads the application and an animal is detected, he/she can click on the animal, which will prompt Google to search the animal label. Essentially, this app will allow users to photograph unfamiliar (or familiar) animals for identification and better personal understanding.

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Animal Detection Using R-CNN

By applying regions on CNN features, R-CNN provides computer vision solutions for multiple-object detection. In our research, we are utilizing AlexNet’s pre-trained model in the Caffe framework to detect approximately 400 different animal species and are acclimating this work from KSU’s GPU server to the Android environment. After an individual downloads the application and an animal is detected, he/she can click on the animal, which will prompt Google to search the animal label. Essentially, this app will allow users to photograph unfamiliar (or familiar) animals for identification and better personal understanding.