An Automated System That Takes The Attendance Of Students For Classroom Lectures

Biometrics technology aims at utilizing major and distinctive characteristics such as behavioral or biological, for the sake of positively indentifying people. With the help of a combination of hardware and specific identifying sets of rules, a basic human attribute, automated biometric recognition mimics to distinguish and categorize other people as individual and unique. But the challenges surrounding biometrics are great as well.

The digital image of the face of a person can be matched against a record of other images by using face recognition software. In case that some of the images in the database go with the digitized image, the owner is reported about it by the system. Automatic face recognition has been studied and investigated extensively since 1990s and its usage is turning out to be no-nonsense in the present times. Although a number of automatic face recognition applications are relatively agreeable and harmless (access regulation to armaments, currency, illegal proof, nuclear equipment/supplies etc), there are still several dangers of face recognition systems that include violation of privacy and civil liberties, unrestrained exploitation, identity theft, illegal use of database, free access to personal data on social media etc. (Agre, 2001).

Before Porterville Unified School District changed the school system into blocked scheduling, I constantly felt overwhelmed and uncertain in executing all the work the teachers assigned me for their class. The way scheduling was set up made me feel that teachers were not fully capable of teaching us lessons to their full capacity. Resulting in students not understanding anything that the teachers were trying to instruct. This educational process was never ending up to my sophomore year in high school. My method in handling my education lead me to being careless and becoming a fixed mindset student.

Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.

Out of all of my interests in computer technology, it is also the topic of my graduation thesis. Facial recognition has recently accomplished great achievements since its acknowledgment rate at many institutions has nearly reached 100%, but there are still many obstacles. One of them is the difficulty in recognizing children, understanding the meaning behind the picture and issues with age variation. The performance of most facial recognition algorithms significantly vary with different sample sets. My research is preliminarily and targeted to the aforementioned

Abstract Through the detonative development of web photo sharing websites and social network, enormous amount of pictures are uploaded and shared over the internet. Due to the great success of social web portals and social networks, web users are highly motivated to share their pictures over the internet and that permit other users to tag and comment on the pictures. Huge number of photos are shared over the social portals, some of these photos are tagged with appropriate names but many of them are unlabeled. So it becomes hard to understand the name of the individual from image if any random individual sees it. In order to overcome this problem automatic face annotation is used.

Facial recognition is a technology that recognizes individuals by comparing facial characteristics and specific patterns thus mimicking the function of human brain. It measures the overall facial structure, including distance between eyes, nose, mouth, and jaw edges (1). These measurements are than stored in a database for future use. As the cost of facial recognition software has decreased, its use has grown popular in different fields.

Enhanced automated appointment reminders are an economically reasonable strategy in reducing no-show rates, which can impact the clinic’s financial sustainability and our ability to deliver optimal health care in a timely fashion. In order to accomplish the quality improvement project, a project team will be assembled, which will involve key stakeholders such as the health center’s regional practice administrator, the clinic manager, the front desk personnel, a provider liaison, a clinic nurse, in addition to IT’s systems manager. Our regional practice administrator will serve in championing the mission and raising responsiveness at the senior level (Communications & Acceptance Management). The project will be overseen by the project manager to make certain the development is successfully resourced to all team members appropriately. A collaborative spirit will be encouraged and the project

The process of making an identification based off the method of facial recognition is far more advanced. Facial recognition measures distinguishing facial features such as the dimensions of the nose, the distance between eye sockets, the slope of the forehead, the line and size of the jaw, and the contours of the cheeks (Dewey et al., 2013). Once the subjects photograph is obtained by the specific system, it uses the above parameters to compare the subjects photograph to one which had been previously taken and stored in the organizations

I had been a student at Jackson College since 2009. I did go to Baker College in between 2011 to 2012. Then I come back to Jackson College in 2012 because I didn’t like something there. I took couple of classes on campus, but I am deaf in one ear and going deaf in the other so it kind hard for me in classroom full of other students to take notes or anything else. Someone told me it could be easier on me if I take online class. So I start take online and I like it because I can work at my own pace and don’t have worry that it is misplace somehow.

I don't think that I identify as someone who is a visual learner but as look at this list it makes me wonder if I am! I always carry a pen and paper with me just in case I need to make a list and I love studying in a quiet environment. Most people that really know me would say I am very detail oriented, but what I don't like of this list is reading. I have a hard time sitting down and just reading for enjoyment. Reading is something that I really have to work hard at even just for fun. In the online classroom it has been really easy to intergrate these things because of how organized the whole classroom is. I have everything laid out for me even a list of what I need to

2. How would you judge your “attendance” in this class? (how often did you log into Blackboard and/or check your email)?

In this survey, mainly exposes the different types of face annotation techniques. Face annotation is an exigent problem in the field of image analysis and computer vision has established many applications in different domains. Face annotation (or “face image tagging”) is becoming growingly popular both on the web and many organizations. A face annotation is defined as the image providing information about the facial images. Face annotation system is trying to attach a label to each and every face images in the database. The most important use of face annotation is to manage and organize the huge number of facial images collections in several organizations.

Facial recognition is a useful tool used to efficiently identify a person based on their

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes. Furthermore, extra personal information, like gender, face expressions or age, can be obtained by further analyzing recognition results. Nowadays, face recognition technology has been widely applied to public security, person verification, Internet