Pervasive Computing Of Smart Cameras

One technological improvement in law enforcement that makes the job more effective/efficient is body cameras. These cameras capture events and interactions that take place between and among suspects, victims, and officers. According to page 513, body cameras can be used to resolve disputes and build trust with the community by preserving a record of critical events. This technology is used by the police for two purposes. One purpose is it used to increase police accountability. The second purpose is it has the potential to increase the effectiveness of the police response to crime. This technology can make the job more effective because now with these cameras there can at least be a little more evidence. Another thing is this technology may

Internet of Things (IoT) includes objects which communicate across a variety of networks. Things in terms of Internet of Things (IoT) encompass all those devices which have the ability to sense and/or control and transfer data between other devices using existing network technologies. Some of the examples are routers, switches, security cameras, control systems used in gas stations etc. This paper begins with an introduction on IoT. As IoT includes thousands of devices, we have restricted our scope to security cameras. Our paper discusses in detail the vulnerabilities existing in today’s security cameras, different ways in which cyber criminals can take advantage of these weaknesses and the measures that can be taken to strengthen security in cameras.

It is easier to think of an wired athlete whose physical body parameters are analysed to check the critical condition of him and help assist emergency medical aid. Several flexible solutions of health monitoring are being implemented in WSN. Some systems are based on improving the network reconfiguration. Others are based upon mobile virtual machines to reprogram the system. Such networks help build a bridge between the low level end and high level end abstraction helping system to help adapt to the changes in the environmental situations.

A decade ago there weren’t many people who had objects that were able to connect to the internet and if you were an early adopter of smart phone technology you probably had one or maybe two objects that had the ability to connect to the internet. But today almost every person in the world has more than one object that connects to the internet. Anything from smartphones, smart TVs, Cars, Game systems and even refrigerators are now able to connect to the internet. It estimated by 2020 there will be 50 billion objects connected to the internet. This is the Internet of Things. A network of internet connected objects that are able to collect and exchange data using embedded sensors (businessinsider). In this paper I will discuss how the Internet of Things creates many improvements to the world, increasing our convenience, health and safety, while at the same time improving energy efficiency and comfort (ercim).

The internet of things (IoT) is comparable to the internet in how it provides communication connections over a large area public network. The internet is used to connect people to each other using device connections to a main stream network. The IoT is currently a conceptual construct of a network system working as a conduit to serve as a direct line of communication for multiple electrical operated objects. In theory if an object has an on/off toggle switch, then the object will eventually be able to be connected to the system. The purpose of the IoT is to provide a medium to connect electrical devices allowing them to work in unison in effort to improve the efficiency of their operations. Advanced algorithms drive these devices to complete complex decision making tasks in real time scenarios to improve the efficiency of their operations (Pye, 2014).

Owning a digital Wi-Fi camera is advantageous as high-quality image processing is ever guaranteed, and besides this, transferring image files from a camera to a storage unit of choice is very simple. There indeed many Wi-Fi digital cameras you can opt for, however, as a consumer, you should be specific with the specs you are in for whenever you want to buy a camera. Many of us do rely on internet reviews so that the right choice can be regarding camera quality.

With the furtherance of computer networks extending boundaries and joining distant locations, wireless sensor networks (WSN) emerged as the new frontier in developing opportunities in order to collect and process data from remote locations. A wireless sensor network is a collection of nodes organized in a cooperative manner. Multiple sensor nodes arranged in proximity to sense an event and subsequently transmit sensed and collected information to a remote processing unit or base station. The nodes are able to communicate wirelessly and often self-organize after being deployed in an ad hoc fashion. More than 1000s or even 10,000 nodes are expected. Currently, wireless sensor

This paper presents “Pervasive Computing in Smart Cameras” depicting its various applications and techniques used in those applications. Pervasive Computing is an outrageously growing trend in everyday embedded microprocessor objects that helps to communicate information between these objects. Pervasive computing devices are connected entirely and are available relentlessly. Smart cameras are embedded systems that perform involved video content study and only account detected events as a replacement for permanently streaming videos. Visual sensor networks (VSNs) are also a type of Pervasive networks since cameras are omnipresent by being embedded into everyday life objects such as a smartphone. VSNs aim at integrating smart cameras using pervasive computing with wireless sensor networks. Due to rapid changes in the VSN’s environment, a dynamic and online reconfiguration is highly needed. we introduce and evaluate a fast and distributed resource-aware reconfiguration algorithm. Our approach is based on simple optimization primitives to find good approximations and to keep the required data transfer in the VSN small. We analyze the communication complexity and compare the algorithm with a centralized configuration approach based on several scenarios with different complexity. Camera sensors have higher requirements concerning communication bandwidth and computing power than those typically used in wireless sensor network applications. Accordingly, power management is

Due to limited and non-rechargeable energy provision, the energy resource of sensor networks should be managed wisely to extend the lifetime of sensors. Sensor networks have recently emerged as a platform for several important surveillance and control applications .Each sensor has an onboard radio that can be used to send the collected data to interested parties. One of the advantages of wireless sensors networks (WSNs) is their ability to operate unattended in harsh environments in which contemporary human-in-the-loop monitoring schemes are risky, inefficient and sometimes infeasible. Therefore, sensors are expected to be deployed randomly in the area of interest by a relatively uncontrolled means, e.g. dropped by a helicopter, and to collectively form a network in an ad-hoc manner. In order to achieve high energy efficiency and increase the network scalability, sensor nodes can be organized into clusters. Data collected from sensors are sent to the cluster head first, and then forwarded to the base station. Network lifetime can be defined as the time elapsed until the first node (or the last node) in the network depletes its energy (dies).

Energy Consumption: Sensor Nodes are subject to battery power. Sensor networks are set on hostile situations so supplanting the battery is unfeasible. Consequently energy preservation and administration is a basic issue to determine in wireless sensor network.

Wireless Sensor Networks (WSN) consists of large number of sensor nodes distributed across a geographical area in highly dense manner. These nodes are of low cost and use less energy to perform various functions. These sensors have the ability to communicate with each other and route the data to next node or back to the Base Station (BS). Sensor nodes in a sensor network communicate with other nodes and collect the information.

The collection of sensor nodes by enabling cooperation, coordination and collaboration among sensor nodes is formed Wireless Sensor Network (WSN); the WSN consists of multiple autonomous nodes with a base station.

Wireless sensor networks (WSNs) are presented their abilities in many vital applications such as wildlife tracking, checking heart rates of human, military applications, traffic monitoring, etc, [1]. Wireless sensors have limited resources, including limited storage, limited processing facility, and communication capability. In addition, each sensor node is powered by a battery, which has a finite size and cannot be recharged or replaced due to environmental conditions [2-5]. Actually, Sensor nodes depend on their finite resources to survive. Due to these reasons, it is important to enhance the energy efficiency of nodes to improve the quality of the application service REF. The first problem of WSNs is to minimize energy consumption in

A wireless sensor network (WSN) is a network of nodes that sense and control the environment providing interaction between the machines and the surrounding environment. It is formed by large number of sensors nodes where each node is equipped with sensor to detect physical characteristic such as temperature, pressure, weight etc. [2]. WSN is a new revolutionary method which gathers information from sensor nodes providing a reliable and efficient network. With the growing technology of sensors, WSNs will become the key for internet of things. The current focus of sensor network is mainly on networking technology comprising of dynamic environment and the sensor nodes. The new research program of SenseIT provided the sensor networking with new capabilities such

A Wireless Sensor Network (WSN) is comprised of multiple tiny devices called nodes or motes. These are distributed spatially in an environment to monitor sense and compute data wirelessly. The role of a sensor node is to evaluate different tasks. First, a node has to sense physical conditions and exchange the information with other nodes after computation. Second, it plays the important role of being a relay for different sensor nodes [1],[2],[3],[4]. These nodes can mount anywhere in the environment [2]. With recent advancements in the field of electronics these devices are becoming cheaper and smaller and are being employed in both indoor and outdoor environments. Applications include agricultural monitoring, household and military surveillance, industrial automation and robotics, and healthcare [3]. A sensor node, shown in Figure.1 is a low power device and consists of five different components namely [5], [12]