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The frequency of storm surge impacts in western Alaska are likely to increase due to current warming trends leading to accelerated rates of erosion and further inland extent of marine inundation. This leaves the low-lying coastal communities of western Alaska vulnerable to storm surge hazards, especially because our ability to assess risk is hampered by large gaps in monitoring equipment and minimal...
Monitoring of residences and businesses can be effectively performed using machine learning algorithms. As sensors and devices used for monitoring become more complex, having humans process the information to detect intrusions would be expensive and difficult to scale. We propose an automated home/business monitoring system which resides on edge servers performing online learning on streaming data...
Elevators are the means that people often use in everyday life. From the past until nowadays many elevators have been used in many areas. Elevator systems with the formation of high-rise buildings in recent years has become more important. Early diagnosis of faults that may occur in the elevator system is very important. In this study, an approach has been proposed to monitor and detect faults on...
In this paper, a new multi-resolution CMOS imager sensor with trapezoid pixel array, called TZOID, is presented. It was designed for traffic monitoring to detect the speed and location vehicles approaching a signized intersection. It composes of significantly less number of pixels than a comparable image sensor used in similar application. The unique trapezoid image sensor design eliminates computationally...
In the transport and traffic management system, tracking of vehicles on road is a prime importance vehicles are identified by reading their number plate, the existing system becomes complicated when there is a large number of vehicles being traced at different locations and therefore automatic license plate recognition ALPR is used to extract the contents of the number plate. The image can be fetched...
We investigate the design and implementation of Where's The Bear (WTB), an end-to-end, distributed, IoT system for wildlife monitoring.WTB implements a multi-tier (cloud, edge, sensing) system that integrates recent advances in machine learning based image processing to automatically classify animals in images from remote, motion-triggered camera traps.We use non-local, resource-rich, public/private...
Introducing robots into the operating theatre has become more popular in recent decades. Surgical manipulators have been developed to assist in surgeries like a human assistant to facilitate the surgical procedures. In this paper, we present an eye-controlled interface for the surgeon to control this kind of robot based on eye-tracking glasses. In our approach, we use the monitor for providing the...
Accurate heart rate detection is important in healthcare and exercise monitoring. Recently, heart rate monitoring using a smartphone has been highlighted due to its convenience and accuracy. In this paper, we hypothesize that our smartphone-based heart rate detection algorithm reliably detects heart rate based on fingertip image changes. Here, we have used successive video camera fingertip images...
Data centers are extremely important facilities that contain core business information and applications, but the energy consumption is an inevitable issue, so the thermal distribution monitoring is critical for data centers reliable and stable operation. Thermal information enables monitoring and autonomic thermal management in large data centers. Recent approaches that employed a mobile robot or...
Wireless Multimedia Sensor Networks (WMSNs) are composed of small embedded video sensors that allow continuous monitoring of a given territory. They collect and analyze frames from different video sensors deployed in the area of interest. One of the most important challenges in WMSN is the big data problem affecting the energy resources of the video sensors. Cameras and video-sensors send images and...
In this paper, we propose MT-Diet, a smartphone-based automated diet monitoring system that interfaces a thermal camera with a smartphone and identifies types of food consumed at the click of a button. The system uses thermal maps of a food plate to increase accuracy of segmentation and extraction of food parts, and combines thermal and visual images to improve accuracy in the detection of cooked...
A method for smoke detection in video is proposed. It is assumed the camera monitoring the scene is stationary. Since the smoke is semi-transparent, edges of image frames start loosing their sharpness and this leads to a decrease in the high frequency content of the image. To determine the smoke in the field of view of the camera, the background of the scene is estimated and decrease of high frequency...
Parking in the city has been a major problem in modern days. An efficient way to manage the parking lot and to improve the safety of the driver is very important. Traditional parking lots commonly use security camera, ultrasonic sensors or infrared ray sensors to manage the parking lots. However, these systems are not only expensive but time consuming. Therefore, we present a hybrid intelligent parking...
Ambient Assisted Living (AAL) is considered as the main technological solution that will enable the aged and people in recovery to maintain their independence and a consequent high quality of life for a longer period of time than would otherwise be the case. This goal is achieved by monitoring human's activities and deploying the appropriate collection of services to set environmental features and...
We developed an epoch-making portable intelligent medicine case for recipients who take medicine every day. The medicine case consists of a recipient's smartphone and a mirror-embedded pill organizer. The smartphone captures medicines in the storage compartments of the organizer by using its built-in camera. The positions and shapes of mirrors were optimized in order that the smartphone can confirm...
This paper presents a system for automatically classifying the resting location of a moving object in an indoor environment. The system uses an unsupervised neural network (Self Organising Feature Map) fully implemented on a low-cost, low-power automated home-based surveillance system, capable of monitoring activity level of elders living alone independently. The proposed system runs on an embedded...
This paper presents a new method for estimating nearshore wave height from a digital video sequence. The method identifies main wave breaking zones in the video records and estimates the height of breaking waves inside the detected breaking zones. A geometric rectification is applied to the resulting estimation to convert the height measurement from image pixels to meters. The validation of the algorithm...
Automated monitoring of activities of elderly is very important in the field of elderly healthcare. While fast and precise detection of falls is critical in providing immediate medical attention, other activities like walking, sitting and lying down can provide valuable information for early diagnosis of potential health problems. Recently, wearable smart cameras have emerged as a new area of research,...
Robust detection of events and activities, such as falling, sitting and lying down, is a key to a reliable elderly activity monitoring system. While fast and precise detection of falls is critical in providing immediate medical attention, other activities like sitting and lying down can provide valuable information for early diagnosis of potential health problems. In this paper, we present a fall...
A new digital video-based visual monitoring system, that assists marine mammal mitigation by providing accurate, real-time sea surface distance estimation is described. Improvements on previous approaches are discussed and initial results from sea trials current taking place offshore are also presented.
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