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Increasingly powerful integrated circuits are making an entire range of new applications possible. Recent technological advances are enabling a new generation of smart cameras that represent a quantum leap in sophistication. While today's digital cameras capture images, smart camera capture high-level descriptions of the scene and analyze what they see. A smart camera combines videosensing, high-level video processing and communication within a single embedded device. Smart cameras not only capture images, they further perform high-level image processing on-board, and transfer the data via network. In this project, embedded smart camera utilizing the use of Single Board Computer (SBC) and GNU/Linux is presented. This paper presents the performance analysis on processing speed and CPU utilization for embedded smart camera using three different computer platforms. Two Single Board Computers from Technologic System, TS-5500 and TS-7200 are being introduced in this paper. The hardware and software design as well as the experimental results are also presented.

Biometric identification provides a reliable and secure user authentication for the increased security requirements. The deployment of advanced computer vision methods for biometric identification system in an embedded platform are severely constrained in their limited processing capabilities, limited memory, limited power source, and algorithms for biometric identification that provide sufficient accuracy tend to be computationally expensive, leading to unacceptable authentication times. This paper describes the design and preliminary implementation of an embedded system for biometric identification based on iris detection (BIOI 2 D). Single Board Computer itself is portable and can be usedfor various purposes such as network based identification system on human face, robot vision platform and embedded web server. In this paper, hardware and software design as well as the experimental result are presented.

The organizer of sport events often facing problems such as wrong calculations of marks and scores, as well as difficult to create a good and reliable schedule. Most of the time, the issues about the level of integrity of committee members and also issues about errors made by human came into the picture. Therefore, the development of sport tournament automated scheduling system is proposed. The system will be able to automatically generate the tournament schedule as well as automatically calculating the scores of each tournament. The problem of scheduling the matches of a round robin and knock-out phase in a sport league are given focus. The problem is defined formally and the computational complexity is being noted. A solution algorithm is presented using a two-step approach. The first step is the creation of a tournament pattern and is based on known graph-theoretic method. The second one is an assignment problem and it is solved using a constraint based depth-first branch and bound procedure that assigns actual teams to numbers in the pattern. As a result, the scheduling process and knock down phase become easy for the tournament organizer and at the same time increasing the level of reliability.

In the current industrialized food production network, most food suppliers rely on large, mono-crop farms that grow massive amounts of a single product and ship it around the globe. Food may travel thousands of miles over the course of days, weeks, or even months before it reaches our tables. Not only is this system strain on the environment, and on the cost to the consumer, but it also affects the quality of the food we put in our bodies. The objective of this project is to design and develop a smart incubator grow system for plants by developing the open source hardware and software platforms for sensor-controlled hydroponic and aeroponic agriculture systems. Inside of this smart incubator, climate variables such as carbon dioxide, air temperature, humidity, dissolved oxygen, potential hydrogen, electrical conductivity, root-zone temperature, and more can be controlled and monitored. Usage specifications such as operational energy, water use, and mineral consumption can also be monitored and adjusted through electrical meters, flow sensors, and controllable chemical doses throughout the growth period. The complete set of conditions throughout a growth cycle produces unique phenotypic expressions, or physical qualities in different plants. Plants grown under different conditions may vary in colour, size, texture, growth rate, yield, flavour, and nutrient density. The system can be monitor and control through wireless connectivity technology