Pervasive Computing Of Smart Cameras

Much interest in the technology of the body cameras comes from a growing problem that the United States has been having a major problem with police violence. Though some might argue that the wearing of body cameras violate privacy, in fact the use of the cameras will minimize violence, show accountability, and a human side of policing. These body cameras would help serve by providing video evidence that can be referenced and use anytime allegations are made against police officers and criminals alike. The use of these body cameras are somewhat in the evaluation and study stages, but they are quickly becoming the standard in some police departments across the United States. These cameras would not only serve to provide video evidence, but it provide accountability. The ideal policy for the cams is that they stay on and continue recording throughout police officers shifts, which would help eliminate any possibility of doing something that would not be used as evidence later on and help them evade the recording of abuse committed while on duty.

The main tasks of this framework are to analyze and determine the smart activities of these intelligent devices through maintaining a dynamic interconnection among those devices. The proposed framework will help to standardize IoT infrastructure so that it can receive e-services based on context information leaving the current infrastructure unchanged. The active collaboration of these heterogeneous devices and protocols can lead to future ambient computing where the maximum utilization of cloud computing will be ensured.

Evansville Police say body camera video proves one of its officers did not act improperly during a traffic stop. It stems from an incident in August that involved former city councilwoman Stephanie Brinkerhoff-Riley.

Technological advances in the modern society have impacted in many ways the police community evolving from the beginning of fingerprinting to the detection of DNA from hair strands. Technology has been implemented in police cars as the dash cam for evidence of video proof in order to protect officers and the general public, now cameras have begun to be invoked into police officers themselves. The technological advancements of our world are constantly changing and innovating meaning police force must adapt to these changes, with that being said law enforcement has begun to implement body cameras to allow them to improve work ethic and may possibly help societies understand the workforce from the law enforcement point of view which can be shown

With the rise of anti-police groups and police surveillance groups, like one called copwatch, the need for police accountability is at an all time high. The best way to hold these officers accountable is through mandated body cameras. Seeing a video of a police officer tackling someone can be very one-sided. It is almost like reading tone into a text; you create what one wants to hear. When someone wants to “hear” that a police officer was attacking a citizen, then that is how they are going to tell someone when they show the video. With body cameras, viewers get to see the whole story and the whole conversation occur. In an excerpt from “Through The Looking Glass House” the author talks about the way people perceive things and

Technology has benefited developed countries in numerous amounts of ways. Most recently, body cameras has seen use in a few U.S. law enforcement agencies across the United States and has improved public relations for those police departments. However, many police officers and lawmakers question the cost and efficiency of such devices and whether the citizens should be placed under constant surveillance when near a law enforcement officer. Whether or not body-worn cameras should be required to be implemented into law enforcement agencies across America is debatable and the decision is dependent on the factors of public safety, cost efficiency, and whether body cameras will serve a practical use or not.

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.

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

Now a days Wireless sensor network devices are getting attention from many researchers and many device developers. These are all low powered devices and these are getting popular and becoming critical part of many systems for their performance. These nodes consists of low powered microprocessors, sensors, communication chips, etc. All the aspects such as designing hardware to any protocols depends on how much power is being consumed by these devices. We are doing our analysis with Zolertia Z1 nodes. These devices are compact, low powered also they are easy to deploy anywhere and economically efficient. In this paper we are using actual experimental results in different environment. These

Lies. Misconceptions. Misinterpretations. Many people in the world are judged and stereotyped as liars. However, the people doing the labeling are the real liars. Who are the people being misjudged and mischaracterized as liars? Police officers. Thankfully, new technology is being introduced to allow the police to fight back. Body cameras are little cameras that are like having another pair of eyes. Once activated, they record everything one can see. Body cameras are a valuable invention as they assist in finding criminals, can be beneficial to teachers and give cops a chance of documenting their actions, and is economical.

When dealing with a global organization that reacts at the speed of the information received, pervasive computing is the future of the military technological base. The ability to have embed, unobtrusive devices that are small and powerful while maintaining connectivity is essential for survival and quick reaction. It austere locations, the military relies on internal power generation capability, which is energy consuming, expensive and dangerous to the environment and no sustainable. Pervasive computing is sustainable and environmentally friendly, that will allow for the reduction of internal fossil fuel power generation.

I believe the cameras are useless in capturing an incident. Most of the time the image is obscured by being close to the suspect or knocked off during the use of force encounter. Rarely is the image captured from a witnessing officer’s perspective because most officers don’t just stand there doing nothing. It is an added responsibility and a very time consuming procedure that has little benefit but to satisfy the curious minds of those who want to see what happened and second guess the officers. Instead of getting back to the station and doing the report, officers are reviewing video from all officers involved, and that’s on every single incident that requires a report to be written, not just a use of force incident.

R. Want, B. N. Schilit, and S. Jenson, “Enabling the Internet of Things THE IOT VISION,” Computer (Long. Beach. Calif)., 2015.

This report presents “Pervasive Computing in Smart Cameras” depicting its various applications and algorithms along with the 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 online reconfiguration is highly needed. we introduce and evaluate a fast and distributed resource-aware Distributed algorithm. Our approach is based on simple optimization primitives to find good approximations and to minimize the required data transfer in the VSN. We analyze the communication complexity and compare the algorithm with a 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

There are two types of sensing equipment (devices), which are stand alone sensors and sensors within network. Sensor network composed of node of the more sensing devices on the node stand alone sensors perform functions autonomously and don not rely on other senores, many stand alone devices have a programmer’s interface (API) to task and received data from the snores stand alone sensors can be integrated into a network, but are not regards as nodes that from a traditional sensor network. Most of APIs required detailed programming knowledge in a language, such as C, while a few of PIs re being to provide higher level programming abstractions, which are common in service-oriented computing paradigm[2].