STEREO VISION APPLYING OPENCV AND RASPBERRY PI

AgPi: Agents on Raspberry Pi

The Raspberry Pi and its variants have brought with them an aura of change in the world of embedded systems. With their impressive computation and communication capabilities and low footprint, these devices have thrown open the possibility of realizing a network of things in a very cost-effective manner. While such networks offer good solutions to prominent issues, they are indeed a long way fr...

Easy as Pi: A Network Coding Raspberry Pi Testbed

In the near future, upcoming communications and storage networks are expected to tolerate major difficulties produced by huge amounts of data being generated from the Internet of Things (IoT). For these types of networks, strategies and mechanisms based on network coding have appeared as an alternative to overcome these difficulties in a holistic manner, e.g., without sacrificing the benefit of...

Bluetooth Implementation on a Raspberry Pi Student :

OpenCV 2 Computer Vision Application Programming Cookbook

Robert Laganière is a professor at the University of Ottawa, Canada. He received his Ph.D. degree from INRS-Telecommunications in Montreal in 1996. Dr. Laganière is a researcher in computer vision with an interest in video analysis, intelligent visual surveillance, and imagebased modeling. He is a co-founding member of the VIVA research lab. He is also a Chief Scientist at iWatchLife.com, a com...

Face recognition system on Raspberry Pi

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...