Cristian Fosalau

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The paper proposes a three steps algorithm that automatically detects, classifies and recognizes traffic signs from images taken from a car running along European road. Traffic signs are detected by analyzing the color information contained in the images using HSV color space. Detected signs are then classified using correlation with standard sign shapes.(More)
The paper presents a theoretical and practical study related with the implementation of artificial intelligence for the enhancement of water quality measurement systems accuracy. The measurement parameters related to water quality (WQ), considered in the present work, are essentially the pH and the conductivity (C). The fusion of sensor information is(More)
The paper presents an algorithm designed to face and facial features (eyes, eyebrows) detection. First, human skin regions are segmented and processed by morphological operators to detect the human face. After the face has been detected, a series of parameters that will be taken into account by the eyes detection stage are calculated. The most important(More)
The paper presents a high speed video processing algorithm designed to measure several parameters related to eyelid movements during blinking. First, the facial features of the subject are detected and tracked; then, the eye regions of interest are extracted using data regarding face orientation and eyebrows position. In the next stage, eye contour and(More)
In the paper, an instrument for simultaneous measurement of active, reactive and apparent power is presented. Its functionality is based on a PWM intermediary conversion multichannel analog to digital converter (ADC). The instrument is implemented on an Altera’s Flex10k70 Field Programmable Gate Array (FPGA) device for single phase. It fits roughly 60% of(More)
A traffic sign recognition (TSR) system is a driver assistance tool that automatically recognizes traffic signs placed along the road. Such a system can disburden the driver by this task and can significantly increase traffic safety, by warning the driver about them. This system is part of Advanced Driver Assistance Systems (ADAS), systems that have the(More)
In this paper, we present a surveillance and measurement grid used for landslide risk assessment and mitigation. Landslide activity is measured using a landslide transducer node whose operation principle is based on strain gauges and controlled by an embedded system. Large susceptible risk areas are surveyed by our system using a grid of measurement points(More)
Virtual instrumentation is one of the major development resulted from the extensive use of computers, which offers the benefits of customizable software development of user-defined tools for control, process, and visualization of data, creating versatile systems, using modular programming, intuitive and easy to use. In this paper we present the development(More)
The paper presents the design and implementation of an automated system for the analysis of gas mixtures. Using low-cost, non-selective gas sensors in combination with signal processing algorithm based on artificial neural networks, the prototype system is able to correctly classify three combustible gases (methane, isobutane, and hydrogen) and to indicate(More)