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Intelligent Transportation Systems (ITSs) are built considering numerous legal regulations, organisational conditions, and user needs. For this reason, they cannot be sold as plug & play products and their implementation requires a clear definition of functional and technical requirements. The primary objective of ITSs is to improve the efficiency and safety of road traffic. In fact, nowadays,...
Image-based systems are increasingly being used for Structural Health Monitoring (SHM) applications. Video-based motion tracking algorithms can be used to analyse dynamic responses characterised by low frequencies, large deflections and low damping ratios. The advantages of image processing over other methods include the ability to track multiple points on a structure, its scalability, and its ease...
Before inception of Internet of Things (IoT), personal computers and laptop were used to handle daily tasks of individuals like mail surfing, access to bank portal, observing current temperature, among others. Nowadays, IoT-enabled smart devices like smart mobile phones, PDAs, and tablets are being used by them for such tasks due to rapid growth in IoT. Smart homes have been widely accepted by individuals...
In order to obtain real-time accurate detection of smoke in the panoramic area, a visual-based smoke early warning system is designed. A 180-degree holographic and high speed camera is equipped as the video capture part of the system, and the video acquisition and target lock functions are implemented. The intelligent recognition function is separated into three steps. Firstly, the suspected smoke...
Fall is one of the major health challenges facing the elderly adults, especially the adults with high fall risk factors. In this paper, we aim to build a video-based model to mitigate the consequences of fall of the elderly at two application scenarios: (1) predict the fall risk caused by unbalanced gait and (2) detect a fall event as soon as it happens. In the first stage, we use a common camera...
Correct and realistic sensing model is of great significance for camera sensor networks to perform target coverage task. In most previous works, each target is considered as a point. However, some crucial features (e.g., size) of the target should be considered in the real world. In this paper, we propose an effective resolution sensing model based on region of interest (ROI), in which rigorous theoretical...
Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high complexity of the interactions between groups and individuals. This task is particularly crucial given the magnitude of manual monitoring required for effective crowd management. Within this context, a key challenge is to conceive a highly generic, fine and context-independent characterisation of crowd behaviours...
This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e.g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant...
In this paper we discuss and analyze possible futures for technologies in the field of computer vision (CV). Using a method we have coined speculative analysis we take a broad look at research trends in the field to categorize risks, analyze which ones are most threatening and likely, and ultimately summarize conclusions for how the field may attempt to stem future harms caused by CV technologies...
The EU funded project RADIO brings forward a new health care paradigm according to which a mobile robot platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients' daily life. However, robot assistance in everyday living still suffers from limited autonomy...
Humanitarian demining requires a variety of methods and instrumentation for effective mine clearance, since a wide range of materials are used in mine manufacturing. However, landmines release vapours over time that can be detected, for example, by sniffer dogs. Optical sensor systems are especially suited to this application due to the potential for lightweight, portable, low-cost systems that nevertheless...
Sensor data is extremely important to monitor machines at the shop-floor level and its environmental surrounding conditions for condition-based monitoring, machine diagnosis and process adaptation to new requirements. Based on the described scope, self-diagnostics and self-organizing capabilities are core functionalities of any Industrial Wireless Sensor Network (IWSN). In the present work, a simulated...
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...
Unmanned Aerial Vehicles (UAV) have attracted a lot of attention in a variety of fields especially in intelligent transportation systems (ITS). They constitute an innovative mean to support existing technologies to control road traffic and monitor incidents. Due to their energy-limited capacity, UAVs are employed for temporary missions and, during idle periods, they are placed in stations where they...
This paper presents two different ways of identifying possible defects for electronic components in order to achieve predictive maintenance. The analysis is performed on the components of a power station used in telecommunication. In the first part of the paper is performed a defect analysis based on fuzzy graphs. This leads to the components causing the most accidental stops. In the second part an...
Driver State Monitoring Systems (DSMS) play a crucial role in determining whether the driver is prepared to take control of the vehicle or not. In this paper we present a cost-efficient, context-aware system, based on smartphones, which supports the driver in the driving task. This is through monitoring the driver attention and drowsiness, in addition to detecting pedestrians and vehicles. The detection...
Unmanned Aerial Systems (UAS) have gained considerable private and commercial interest for a variety of jobs and entertainment in the past 10 years. This paper presents the applications of UAS in transportation and structural engineering with emphasis on bridge inspection. A brief but thorough review of UAS applications for State Department of Transportation in the United States is provided. Potential...
In the last two decades, the increased production and installation of photovoltaic (PV) plants worldwide has asked for efficient low-cost methods for PV plant inspection to monitor their functionality and guaranteed their performance. To lower maintenance costs new systems have been thought to substitute human workers inspecting the PV plants. The employment of Unmanned Aerial Vehicles (UAVs) has...
We address the problem of using computer vision based techniques to collect high-level traffic parameters in dynamic, real-world environments. This is a challenging problem that has not been sufficiently studied. Specifically, with a focus on freight vehicles, we propose a comprehensive framework for monitoring freight traffic movements at any well-defined freight traffic generator, using a network...
Natural disasters like landslides or floods can be significant dangers to life, nature and infrastructure in the affected areas. Especially in regions with permanent potential risks of such weather-induced phenomena, an effective monitoring system can reduce the risk of major damages. In the case of Punta Arenas (Southern Chile) landslides irregularly block and dam the nearby river Las Minas and thus...
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