TAMPERE UNIVERSITY OF TECHNOLOGY Master’s Degree Programme in Information Technology SIRIPHAT POMYEN: Signal and Image Processing with Matlab on Raspberry Pi Platform Master of Science thesis, 64 pages May 2015 Major: Multimedia Examiner: Prof. Irek Defee

An embedded face recognition system based on the Raspberry Pi single-board computer is proposed in this paper. Face recognition system consists of face detection and face localization using Haar feature-based cascade classifier. Face features are extracted using weighted Local Binary Pattern algorithm. Developed system performs one full face analysis in 110 ms. Comparison of two biometric sampl...

Smart cities seek to build the surveillance systems in order to improve the efficiency of urban spaces while reducing costs and resource consumption. There are several defects in the video surveillance system, such as: picture is indistinct, anomalies cannot be identified automatically, a lot of storage spaces are needed to save the surveillance information, and prices remain relatively high. T...

This work presents a low-cost robot, controlled by a Raspberry Pi, whose navigation system is based on vision. The strategy used consisted of identifying obstacles via optical flow pattern recognition. Its estimation was done using the Lucas-Kanade algorithm, which can be executed by the Raspberry Pi without harming its performance. Finally, an SVM-based classifier was used to identify patterns...

Data mining algorithms are essential tools to extract information from the increasing number of large datasets, also called Big Data. However, these algorithms demand huge amounts of computing power to achieve reliable results. Although conventional High Performance Computing (HPC) platforms can deliver such performance, they are commonly expensive and power-hungry. This paper presents a study ...

In this project, we aim at deploying a real-time object detection system that operates at high FPS on resourceconstrained device such as Raspberry Pi and mobile phones. Although many systems have proved their success since the era of machine learning and neural network, most of the evaluations are done with high-end CPU or GPU. Nevertheless, real-world applications such as surveillance pose str...

With the use of modern information and communication technologies (ICTs), farmers in developing and transition countries can overcome non-market information asymmetries and increase farm productivity. Which kind of ICT is most effective is still uncertain. This study aims at investigating the impact of different kinds of ICTs on farmer’s performance by using survey data collected from raspberry...

Although more empirical and theoretical work is needed to provide strong guidance for educational change agents, we do know some general things about effective propagation of educational innovations. Following Fullan [1], we think of educational innovations as new materials, teaching approaches, and/or beliefs. Each claim and its lesson for TUES PIs is summarized below and then explained in mor...