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In this paper, we are presenting a data flow and fault management architecture, developed for an event driven wireless sensor network used in landslide surveillance. Our concept system collects landslide data using a dedicated wireless sensor network. The WSN was configured with tree architecture and contains one gateway, relay nodes, and multiple end nodes. The WSN components were distributed in...
The paper presents a study regarding the power consumption of a sensor node dedicate for landslide monitoring. The sensor node, together with several others mounted on the same tube monitors the movement of the underground layers, while the data is collected by a central unit that send it further to an area collecting point. The sensor node must work for long time without a power network in the vicinity...
Landslides have always been one of the most catastrophic natural phenomena. Continuous monitoring and warning as early as possible about the beginning of such a disaster may lead to avoidance of losses of human lives. With this aim, we have developed a monitoring system structured as a wireless sensor network equipped with very sensitive transducers, capable of measuring in real time the direction...
The paper presents a cost effective pore water pressure sensor (PWP) for landslide prediction, based on an integrated silicon pressure sensor. The sensor can be associated with a landslide sensor or can work independently. The aim of the landslide sensor is to detect the wetting condition and the tiny displacements of the ground. The pore water pressure has a simple construction, by measuring the...
In this paper we present a new algorithm for pupil center localization. The face and eyes of the target subject are detected using the Cascade Classifier algorithm based on Haar-like features. A histogram equalization method is employed to increase image contrast. The core feature of our pupil center detection consists of an adaptive template matching procedure applied on the eye region image that...
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 integrating multiple measurement nodes. Measurement...
The contrast enhancement is an important part of the image enhancement process. The visual details become more visible in an image with a high level of contrast. There are more techniques to improve a contrast image. In this paper we analyze the contrast modification by three main methods: the histogram equalization method, local histogram equalization (LHE) method and contrast limited adaptive histogram...
This paper presents a video processing framework developed in order to analyze eye and eyelid movements of impaired people. In the case of physically impaired individuals eye and eyelid movements may represent the only effective communication method that they could use to interact. Video processing algorithms are involved in the framework that we propose to aid people in this situation. A high speed...
The paper presents the results obtained after performing an exhaustive study upon the properties of a special category of materials in form of magnetic amorphous microwires (MAWs), in order to reveal their applicability to build sensitive elements for measuring strains and deformations. The study has been directed to the Stressimpedance (SI) effect, a variant of Giant Magnetoimpedance (GMI) effect...
This paper presents a video acquisition system used to record high speed video sequences in order to measure human eyelid mobility. The human eyelid mobility is a highly dynamic process which requires a high speed monitoring system. A high speed video camera is used to acquire video sequences of the subject face. The video sequences constituting the data base that are used to study eyelid mobility...
Since the convention on road signs and signals from 1968, standard traffic signs, impose the rules on the road. Some system that are capable of recognizing these signs are known as traffic sign recognition (TSR) systems. This system is part of Advanced Driver Assistance Systems (ADAS), which has the goal to improve road safety. In this paper we present an experimental system that uses a wireless communication...
The digital potentiometers are flexible devices allowing many of the applications of the mechanical trimming to be replaced by a solid state solution. In this paper, we address issues related to the use of the digital potentiometers in the active filter design, in order to implement programmable analog functions such as controlling the corner frequency and filter type. Also, we propose here a simple...
This paper presents a virtual instrument for communication with a weather station that transmits information on measured environmental parameters using a radio telemetry units. The user interface is built in LabVIEW visual programming environment. This makes a PC serial or TCP/IP communication between a terminal and the central unit of the weather station, the information received is decoded and played...
A lane mark detection system is a driver assistance tool that automatically recognizes the lane mark painted on the road and the lane that he is travelling in. Such a system can warn the driver when has the tendency to move out from the lane, without being aware of it. This kind of system is a part of Advanced Driver Assistance Systems (ADAS), systems that has the goal to improve road safety. In this...
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 goal to improve road safety. In this paper,...
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 representative lines for upper and lower eyelids...
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. The recognition step uses the minimum distance...
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 parameters are face orientation and distance...
This paper presents an image processing algorithm designed to measure eyelid movements during blinking. First, the facial features of the subject are detected and tracked; then, the eye regions of interest are extracted using information regarding face orientation and eyelids position. In the next stage, the eyelid line is detected from the image, after which the eyelid characteristics are extracted...
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