Presenters

Disciplines

Computer Sciences

Abstract (300 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.

Academic department under which the project should be listed

CCSE - Computer Science

Primary Investigator (PI) Name

Dr. Mingon Kang

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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.