Portable TOR Router with Raspberry Pi
Nowadays, internet has become an important part of everyone's lives. The internet has turned out to be a reliable tool for communication, data transfer and many more applications for people from all over the world. An individual's internet activities are being tracked and traced without their knowledge by various means. Thus, online security is a genuine worry for web clients who intend to visit interpersonal interaction locales, make an online transaction, or take an interest in internet diversions, as they need their protection to be ensured. Internet browsing is not anonymized as many Internet Service Providers (ISP's) could legally sell users information without informing users. People's internet activities are being tracked and traced by ISPs. Moreover, network spies and snooping attempts are very hard to be defeated as an ample network snooping tools are available in the market. These issues can be curbed by using a router that has anonymous browsing infrastructure. However, most of the routers that gives anonymous browsing are not portable. From this project, people will be able to browse anonymously without being traced. Besides that, network snooping and spying attempts can be defeated. Finally, a portable The Onion Routing (TOR) router can be created with a Raspberry Pi..
Sign in with Face Recognition and Gesture Recognition Based on Raspberry Pi
In today's society, artificial intelligence has gradually penetrated into people's daily life, and its fields have become more and more extensive, with many breakthroughs in face recognition. The system realizes a simple sign-in function. It is a sign-in system with face recognition and gesture recognition, which is based on deep learning using Raspberry Pi and Baidu Smart Cloud Platform. Raspberry Pi and python were used for research during the experiment. Python's Face_recognition Library is called and gesture recognition is achieved by using the gesture recognition API of Baidu Smart Cloud Platform. Finally, we realize sign-in with face recognition and gesture recognition.
Multi-layer inpainting on Chinese artwork
Digital inpainting uses spatial or frequency information to restore partially damaged/removed photos and artworks. Most restoration algorithms take a picture as a single layer. We propose a new approach, which subdivides a Chinese painting into several layers. Each layer is inpainted separately. The layer fusion mechanism then finds the optimal inpaint among layers, which are restored layer-bylayer. We apply the algorithm on Chinese and western drawing. The result shows a high PSNR value as well as a high user satisfaction. The demonstration of our work is available at: http://www.mine.tku.edu.tw/demos/inpaint.