ABSTRACT Through the evolution of technology, man can surpass many weaknesses by developing computers with intelligence just like a real human being. The discovery of artificial intelligence and the continuous development of such subject, gives us the benefits that almost limitless. One of the application of this gift of science is the face detector, a combination of software and hardware interface that lets a computer to identify, detect and follow a human face and even any related objects. This project aims to let students understand how technologies just like a face detector help our industry and security in monitoring human activities. It also aims to give the students the opportunity to develop a more effective face detector that can surpass any constraints. CHAPTER 1
INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Humans often use faces to recognize individuals, and advancements in computing capability over the past few decades now
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For automatic face cognition and identification system, face detection is the first step to do so. However, face detection is not straight forward for it has a lots of variations of image appearance such as pose (front, non-front), occlusion, image orientation, illuminating conditions and facial expression. Fortunately images are usually used to representation of objects. Digital image is a stored graph in the computer memory and consists of pixel. The resolution is the number of pixels in a unit area and each pixel has its own characteristics. Human face detection is a challenging task for face has a lot of variations and characteristics. (Face Detection by Image Discriminating by Muhammad Tariq Mahmood). (face detection by inseong kim, joon hyung shim and jinnkyu
Edge detection is widely used for detecting discontinuities in an image. Feature 7 is calculated in following way. The input face image is first converted
1) Read all the input images and load the images into the database. I =imread(name of the image) imshow(I) set the position of image set(gcf,"position",[1,1,500,500]) Only the position and directions of these features are stored. 2) Enhancement of the features The enhancement of the image depends upon the quality of the input image to ensure the identification and verification system.
Figure 9.4 – Stream When the stream starts, OpenCV, which is running on the server, starts detecting and recognizing faces and displaying the results in a list that resides on the right sidebar. A green box appears, containing the information and the image of the recognized face. If the detected face is unrecognized, a red box appears, containing the face of the unknown individual. Figure 9.5 – Detecting & Recognizing Faces Right after an unrecognized face is caught, an email is sent as an alert for the security guards, containing the unrecognized face of the individual, alongside the date, the time and the IP Camera’s information.
Have you ever had the suspicious feeling that someone was watching you? More often than not, it is just your mind playing tricks on you. With the introduction of so many new smart-technology products, it might not just be your mind playing tricks on you. These advancements in technology allowing for smart phones, smart TVs, smart watches, smart speakers, and even smart toilets have come at a great cost: our right to privacy in our own homes. Most of us purchase these products because they are the popular trend at the time.
Technology is advancing every single day. From phones, to computers, to cars, everything is improving. Just last week on my birthday I got a new laptop for college, and as soon as you open it the camera can recognize your face and will automatically log in. That same camera could easily be monitoring me, and online my actions and search history could be recorded as well. Even traffic lights have cameras now.
Everyday we encounter new and familiar faces. We are able to distinguish our mother’s face from a stranger’s face due to the facial recognition processes that we have stored in our brains. Facial recognition is one of the many processes of object-recognition. Many of us are not aware of the brain’s role in facial recognition because it is a process that we are not consciously doing. Face recognition differs from object recognition in a few ways.
The aim of this essay is to compare and look at the Ethical and Social issues that occur in the Information Technology industry, specifically the workplace in relation to surveillance of different forms. Types of surveillance CCTV monitoring (camera) is one of the
government took the use of surveillance to the next level. This level is unprecedented and unheard in human history. The government uses internet to surveil people’s private information. Several things happening around us that we don’t recognize in today’s world,. One of the things is the surveillance program.
INTRODUCTION Now a day’s a facial recognition system is a computer application and it is used for automatically identifying or verifying a person . This is done by comparing selected facial features from the image and a facial database. Face Recognition System focuses on contactless man and machine interface. The human face plays an important role in our interaction and people’s identity.
Face recognition technology [1] is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier – the human face. Instead of requiring people to place their hand on a reader (a process not acceptable in some cultures as well as being a source of illness transfer) or precisely position their eye in front of a scanner, face recognition systems unobtrusively take pictures of people 's faces as they enter a defined area. There is no intrusion or delay, and in most cases the subjects are entirely unaware of the process. They do not feel "under surveillance" or that their privacy has been invaded.
The sociologist Erving Goffman introduced the notion of face into social interaction with his article On Face-work: An Analysis of Ritual Elements of Social Interaction (1955) and book Interaction Ritual: Essays on Face-to-Face Behavior (1967). His notion of face has been acknowledged as an inspiration to many politeness approaches. Face is considered a key factor that affects human interaction. Agassi and Jarvie (1969:140) believed that people are human "because they have face to care for – without it they lose human dignity". Despite its importance, there is no consensus among researchers on how we should define face.
Credibility I myself experienced this where the lack of surveillance made me vulnerable to evil doers. Many years ago, my gadget was robbed at a shopping mall and I was unable to find the criminal since no one witnessed the incident. C. Preview/Thesis Now, with my atrocious experience, I am here to encourage you to support the use of Closed Circuit Televisions or CCTVs in public areas by presenting its applications in increasing security and to clarify that its usage is not a breach of privacy. Transition:
In this essay I will write about the strengths and weaknesses of perception as a way of knowing. Perception is the way we perceive the world through our senses. We use all five of our senses, which are sight, hearing, smell, taste and touch to understand the world and interpret it. We can then say it’s a Primary way of knowledge. We can also say that, because the senses is the way our body communicates, we have at least three more senses: kinesthetic sense, which is our awareness of our body’s dimensions and movement; vestibular sense, which is the awareness of the human’s balance and spacial orientation; and organic sense, which is the manifest of the internal organs (for example, hunger or thirst).
Abstract— In recent years, video surveillance systems become more important to enhance the security and safety of people. These systems can use in various fields such as smart home, office, bank security, monitoring the traffic and in public like shopping malls, railway stations, airports and so on. By using this system, it offers realtime display of the monitoring scene and video playback. Besides that, more comprehensive and specific monitoring with no limit of the line-of-sight can be achieved. In this paper, a study of video surveillance system which focusing on using wireless sensor network has been done.
The authors explore the notion of a white gaze which is hegemonic, historically established in material relations of white power where women and minorities are blamed for taking away their undeserving privileges. It boils down to resentful entitlement or privilege. The school shootings perpetrated by middle-class white male students, the men’s-rights movement, white supremacists, the fathers’-rights groups, etc. There is a deep-seated impression, among some white male Americans, that they are being deprived of their space in society. The era of privilege, when the reputable jobs and the best possessions was the white male American’s merit, has degenerated and is being succeeded by a society where white males are being systematically marginalized and overlooked in patronage of minorities and women.