Although with the advent of the LEDs the energy consumption in buildings can be reduced by 50%, there exists a potential for energy savings due to lighting controls. Moreover, lighting controls can ensure that the near zero energy requirements by EU can be achieved for near zero energy buildings (nZEBs). For this reason, more sophisticated lighting controls must be proposed in order to take full advantage of LEDs and their flexibility concerning dimming. This paper proposes the architecture of an embedded computer camera controller for monitoring and management of image data, which is applied in various control cases, and particularly in digitally controlled lighting devices. The proposed system deals with real-time monitoring and management of a GigE camera input. An in-house developed algorithm using MATLAB enables the identification of areas in luminance values. The embedded microcontroller is part of a complete lighting control system with an imaging sensor in order to measure and control the illumination of several working areas of a room. The power consumption of the proposed lighting system was measured and was compared with the power consumption of a typical photosensor. The functional performance and operation of the proposed camera control system architecture was evaluated based upon a BeagleBone Black microcontroller board.
The purpose of this research paper is to evaluate the applicability and potential benefits of Lean Principles to a farm business. This research opted for a case study research strategy that is implemented through indepth personal interviews with different actors along the supply chain. This is augmented by further data collection from experts in the field of Lean. Using the Five Principles of Lean, Value Stream Mapping and the Seven Wastes this study suggests that there are benefits from applying Lean Principles to a farm business in terms of reducing waste and improving the quality of food supply. The present study makes a contribution to the validity of Lean principles when applied to an agribusiness context.
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