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Heavy vehicle traffic and flooded areas are problems experienced on roads because of unimproved road infrastructures and environmental deviations. These factors affect vehicle drivers negatively as they contribute to stress, health problems, and wastefulness of time. This study developed a system called ArRoad that monitors and analyzes vehicle traffic and flooded areas using network of sensors and...
The Ambient intelligence (AmI) paradigm refers to electronic environments which are sensitive and responsive to the presence of people. Queue systems are practically used in various institutions and commercial enterprises constituting a challenge for the intelligent environments in smart cities. The management of the customer flows guarantees elimination or reduction of the queues as well as the economic...
This paper describes a novel system for automating data collection and surveying in a retail store using mobile robots. The manpower cost for surveying and monitoring the shelves in retail stores are high, because of which these activities are not repeated frequently causing reduced customer satisfaction and loss of revenue. Further, the accuracy of data collected may be improved by avoiding human...
Nowadays, providing a security system for houses has become a vital research in which the latest technologies are being adopted to serve this purpose. Wireless network is one of the technologies that have been used to provide remote monitor and control for the home appliances. This paper aims to propose a security door lock system based on Raspberry pi technology where cameras, keypad and pi-lids...
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 many security systems, it is sufficient to monitor a certain territory with the same type of devices in such a way that each point of the territory falls into the coverage area of at least one device while minimizing the energy consumption of the devices. However, in some security systems, it is necessary to observe objects from a certain side. For example, to identify a person you need to see...
We are studying a new technology for digital exhibition of Japanese classical writing and drawing works. We developed two type of contents based on AR technology. 1. show Honkoku text corresponding to a part of the image a camera held on. 2. show other famous drawings of the Shukuba a camera faced on, and also other links to interesting web sites related with the Shukuba. We report and show demos...
Visual Simultaneous Localization and Mapping (SLAM) has been used for markerless tracking in augmented reality applications. Distributed SLAM helps multiple agents to collaboratively explore and build a global map of the environment while estimating their locations in it. One of the main challenges in Distributed SLAM is to identify local map overlaps of these agents, especially when their initial...
The increase in the number of elderly motivates academic researchers to develop technologies that can ensure self-sufficiency in their lives. In this research, prototype of an inexpensive video monitoring system for the elderly using a single RGB camera proposed. In the process is divided into two, namely vision and event recognition module. For event recognition, we use a hierarchical description-based...
Transient Luminous Events (TLEs) is a type of lightning events occurs at the upper atmosphere or in the D region of the ionosphere during a thunderstorm. The occurring of TLEs is fast and difficult observed by human eyes. Therefore, a camera sensitive to low light condition is needed for observation of this phenomenon. In this paper, the camera is coupled with 50 mm f1.4 lens and Digital Video Recorder...
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...
Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because unmanned aerial vehicle imagery may be acquired quickly during critical periods of rapid crop growth. The objective of this study was to evaluate the use of unmanned aerial vehicle for the monitoring barley growth. Unmanned aerial vehicle imagery obtained...
The use of smartphones increasingly inseparable from human life. However, many users are using smartphones too often, so that they forget the time and consciously or unconsciously looked too close and too tilted to the screen of their smartphone. This bad habit that commonly done by smartphone users to correct the eye vision of what they were seeing on their smartphone's screen are highly unhealthy,...
This paper proposes a methodology to be used in the segmentation of infrared thermography images for the detection of bearing faults in induction motors. The proposed methodology can be a helpful tool for preventive and predictive maintenance of the induction motor. This methodology is based on manual threshold image processing to obtain a segmentation of an infrared thermal image, which is used for...
Plume opacity monitoring is important activity in management of air emission quality from stationary sources. This paper develops an imaging based method for plume monitoring. The image is acquired by using digital camera equipped with tele lens. Data collecting of plume opacity monitoring was conducted on a textile industrial estate in Bandung under ideal conditions where the horizontal distance...
The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation. In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing...
If a target is flanked by non-target and incongruent stimuli, human response to the target is delayed (Eriksen flanker effect). The flanker effect is enhanced when the task is shared by two people and a person's target is flanked by non-target stimuli that are identical to his/her partner's target (Joint flanker effect). We aimed to test whether the joint flanker effect could occur in a virtual environment...
The paper presents Park Smart, a solution which aim is to solve the pain of finding a free parking space in public and private areas (e.g. cities, malls, etc.), and hence to optimize parking stalls allocation as well as to increase revenues for the companies which manage them. The proposed solution exploits cutting edge technologies such as IoT, Cloud Computing and Deep Learning.
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...
Robot teleoperation, such as for search and rescue, uses multiple specialized cameras (e.g., wide environmental and sharp narrow views) to aid in task awareness. Simple display techniques, such as tiling, require ongoing mental mapping between the views; cameras that pan or tilt exacerbate the problem as the inter-view relationship changes. The detail-in-context technique bypasses this mental mapping...
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