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Real time Robust Invisible Hyperlinks in Physical Photographs Based on Embodied AI Platform
پیوندهای غیرقابل مشاهده قوی در زمان واقعی در عکسهای فیزیکی مبتنی بر چارچوب هوش مصنوعی تجسم یافته-2020 Quick Response (QR) Code plays an important role in
connecting the physical world where we live in and the
digital world that contains information. However, the
pictures made up of black and white color blocks really
affect people’s moods. This paper designs a visual
appealing two-dimensional code to help people access
information from offline to online. A Deep Neural Network
(DNN) based encoder hides information into natural
images and a DNN based decoder recover???? it. A novel
finder pattern is designed to help the decoding device to
locate our codes quickly. We design a decoding device. It
consists of an AI chip, camera, and LCD screen. The
information is invisible in our generated hidden images but
detectable by our device. With the help of powerful edge
computing, the device can recover the hidden information
from the pictures in real time. Keywords: Information Hiding and Recovery | Generative Adversarial Network | Edge Computing |
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