Live Demonstration: Hardware-Oriented Dual Stream Object Recognition System using Binarized Neural Networks

This live demonstration presents a “Binarized Dual Stream VGG-16 (BDS-VGG16)” model which is a convolutional neural networks model for object recognition. The model is designed for hardware accelerators (i.e., field programmable gate arrays) for implementation in robots. The model uses RGB images and Depth images for increasing accuracy. In addition, the model achieved 99.2% in the experiment using RGB-D Object Dataset. In the demonstration, visitors will learn the operation of the BDS-VGG16 model which is an object recognition system for the service robots.