Homework #9: Final Thoughts

Hi and welcome back. Today I’m going to be giving a reflection about the class I took known as INF 103. INF stands for informatics, this class thought me plenty of things. It thought me on how to start a blog and to investigate on different types of useful tools that can be used and can be found on the internet. Part of those investigations and work assigned by the professor were the post I will mentioned below in the order they were posted:

1. Welcome to Adri’s opinion

2. My experience with the web

3. About Me

4. Homework #4: Collaboration and Google Drive

5. Feedly

6. Privacy and Security

7. Facial Recognition

8. Diigo

9. Coding

10. Final Project: Facial Recognition

These is a total of all the work assigned to us during the class. To see each post click on the title to direct you to the post.

During the semester I got a total of 63 visitors to this blog from February to May. On February there was a total of 10 visitors. On March there was a total of 32 visitors in that month. In April there was a total of only 9 visitors and on may there has been a total of 12 visitors.

This class thought me a lot about the internet, its features and tools. I always wanted to know how to create my own website and this class thought me how to do it, which was something I didn’t expect to learn. I was surprised when the profesor mentioned that we were going to be creating our own blogs. Also having to customize our blogs and give it our personal touch was very interesting and fun. Learning about how to embed was also a very educational part from the class.

Learning about Feddly, Diigo and other tools and websites, were very educational and interesting aspects from the class. This class was a fun and educational experience. Every part of it was. The profesor, Antonio Vantaggiato, for this class is the best. He is very charismatic and an amazing teacher, he’s one of those professors that wants the student to learn and understand the subject and can ask him any question and will always answers and make sure to keep explaining till the student understands. An auto evaluation for this class would be that, for me this class was simple, educational, fun and entertaining. I would also take another class with this professor cause of how entertaining and educational he is.

2 things I liked about this class were:

1. Learning on how to crate and customize our blogs.

2. I really enjoyed the final project and having the chance to investigate on an interesting topic, like facial recognition.

In full honesty, I wouldn’t change anything about this class. I consider this class, just the way it is, amazing and really educational. Every topic presented and discussed in class were entertaining and fun to learn about. I would recommend this class to anyone that’s interested in learning about informatics, I recommend this class 100%. I hope that all of you were able to learn from this post, see you guys next time.

Final Project: Facial Recognition.

Image from Feds Coop.
https://www.fedscoop.com/facial-recognition-technology-needs-federal-regulation-microsoft-says/

Hi and welcome back. Today I’m going to be sharing with all of you a presentation me and my colleagues did about the topic of facial recognition. This project was created by Jackeline Calixto, Nelson Cruz, Deyaneira Gonzalez, Angelica Miranda, Valeria Rodriguez and Me, Adriana Gotay. As mentioned this project talks about facial recognition, what it is, how it works and its pros & cons. We also mention some experts about the topic and include videos of them talking about facial recognition. It also talks about the lack of this technology in Puerto Rico and how there aren’t any expert about the topic in the island.

If you want to know more about our investigation you can click here for more information: Facial recognition (homework#6).

To look at our presentation you can click this link: Facial Recognition Proyect.

Also i would like to inform first of all that the presentation is in Spanish, but the information we had but in this link, Facial recognition (homework#6), is completely in English.

That’s it for today, I really hope you like the information that was presented and that all of you could learn something new. I wish all of you the best and see ya next time.

Coding

Hi, welcome back. I hope all of you are doing well, especially with the times were going thru. Today Il be talking about coding and a fun way on how you can learn it.

Lets start by asking ourselves, what is coding?. Coding is the process of assigning a code to be able to identify or to classify. This is also known as Computer programing. It can be a tricky subject but Il show you a tool that would make it fun. Its called Studio Code. Studio Code is a website to help you learn how computer science works.

It teaches you plenty of information in a enjoyable way. It has many courses and plenty of lessons to help develop your knowledge for programing, as well for other types of topics involving computers. Its lessons are involved with fun games like drawing, angry birds and much more. But you also need to know that by each lesson it starts getting more challenging. Testing your knowledge in anyway it can.

Here is an example of the courses I took. I took Courses 2 and 3. In Course 2, I took lessons 3, 4, 6, 7, 8, 10, 13 and 17. In Course 3, I only took lessons 2 and 3. For me this was an amazing learning experience that has helped me develop an interest for computer science and to learning more about coding. I hope you guys try it out and see how beneficial and fun it is. Well I hope all of you enjoyed todays blog and I see you guys next time.

Diigo

Hello and welcome back to my blog. Today I’m going to be talking about a very important tool that can be useful to saving the direction of websites you might need for work or other type of things. This tool is called Diigo. What is Diigo? for those that don’t know Diigo is a social bookmarking website that lets those who have an account, the users, to be able to highlight and save webpages to eventually use later. Its use is to be able to find webpages easier instead of having too do an entire search to find the webpage you might need. This online service allows the users to share bookmarks of websites and documents; edit; make groups with the bookmark you find and more.

This video explains on how to use Diigo and its elements.

In Diigo you can do groups with the bookmarks you save. For example in the picture above you can see some of my bookmarks. In the first group of bookmarks, which is as tag facial recognition, I have a total of 7 bookmarks on the topic about facial recognition. This first group has the articles and websites im going to use for a class project about Facial Recognition. The second group is based on a personal topic, which for me its about Public Relations. For this second group I have a total of 7 bookmarks involving the topic of Public Relations. Each of the groups have their own tags; first group tag is facial recognition and the second group tag is public relations but both groups have 2 similar tags which are inf103 and sec2.

For a look at my library click here: My library.

Here is an additional link to see the articles: https://www.diigo.com/user/adrianaflores59

Thanks to everyone for reading. I hope all of you enjoy from this new found information and use it as a useful tool for your work or something else. I wish all of you the best, see ya next time.

Facial Recognition

Hello, everyone. I would like to start of by saying welcome and I hope all of you are safe and well during this difficult times. Today I wanna share with all of you some information that me and my colleagues found. We were sent to look up information about this technology and to see its history, apps that use this technology and more. The technology were going to talk about today is Facial Recognition. Lets get started.

When did Facial Recognition begin?

Facial Recognition was created in the 1960s. Creator and one of the founders of this technology is known to be Woodrow Wilson Bledsoe. He was a well known computer scientist, mathematician and teacher. In the 1970s this technology was made more adaptable and accurate by using 21 facial markers. Then Eigenface was developed.

Eigenface it was created by using linera algebra to be able to help advance facial recognition. It was developed by Sirovich and Kirby in the 1987 and Eigenface was introduced in the 1988. In the 1991 computer scientist had been tying to develop this technology more with the help of images. This development was done by two scientist known as Alex Pentland and Matthew Turk. They were able to prove that with the help of collected images in the database could help set the basic features of facial recognition.

Between 1993 and 2000s DARPA ( Defense Advanced Research Projects Agency) and NIST (National Institute of Standards and Technology) released the FERET program. This program started in the 1993 by Dr. P. Jonathon Phillips. The FERET ( also known as Facial Recognition Technology) was designed to develop instant and automatic face recognition capabilities. These program was created to help assist security and to encourage to develop this type of technology. In the year 2002, facial recognition was applied in critical technology testing by law enforcement officials.

Now in the present day facial recognition is basically everywhere. In 2010 Facebook started to use facial recognition to help detect people that where featured in photos. In 2011, came a program called FaceFirst created to help disminish the illegal activity at Panama’s Tocumen airport. In 2014, Law enforcement adopted mobile face recognition to help identify people of interest. Till now like I mentioned before facial recognition is used everywhere, on Facebook, Snapchat and even to unlock our own phones and the fact that these technology is till being developed and advancing is extraordinary.

What is Facial Recognition?

But the important question is, What is Facial Recognition?. As said in it’s own name, facial recognition is a way to help recognizing a persons face through technology. This technology uses biometrics to help map facial features. The biometric can map the features from a photo and even a video. This can be used to verify a persons identity, it also can be used as a surveillance and for marketing strategies.

Programs and Apps:

– FaceFirst: Its a popular program used by people in law enforcement and in the military. What it does is take a picture from a person an instantly with the picture it relates it with a base of data from the person the program is relating it too.

– BLIPPAR: Is an app that counts with a base of data with the capacity of recognising a variety of things such as animals, people, plants and more.

– Oasis face: This app is available in Mac OSX, iOS, Windows and Android. It allows users to block and unlock their devices with facial recognition

– Applock face: This app lets Android users have the ability to block and unlock apps, archives and documents with just using facial recognition and your voice. It garantes that only you be able to accesses your personal information, networks, and make changes on your phone.

– Luxand: This program offers an SDK of facial recognition and API detection. This helps 3D designs and illustrations.

-BIOID: Is a facial recognition mobile app that acts as an authenticator. This app eliminates the necessity of a password and instead uses biometric data to verify your identity.

– VASCO: It was created to help protect devices against malware attacks. It prevents this attacks by using biometric authentication like, facial recognition and digital finger print.

– Moments: This feature created by Facebook helps create albums of shared photos with friends and family. It helps send pictures faster and recuperate them. It also presents facial recognition to help identify the people that are in the picture.

Professional’s known in this topic:

1. Allison Sekuler

– Professor, Psychiatry & Behavioral Neurosciences, SA Rotman Chair, VPR in Baycrest,.

– Expert in: Aging, Face recognition, Audio visual interactions, Behavioral neuroscience, pattern perception and functional magnetic resonance imagining

– Work: McMaster University

– Location: Hamilton, Ontario

– Email: sekuler@mcmaster.ca

– Twitter: @asek47

2. Anil Jain

– Computer scientist and Engineering Professor

– Expert in: Biometric recognition, computer vision, face recognition, fingerprint matching and pattern recognition.

– Work: Department of Computer Science and Engineering at Michigan State University.

– Location: East Lansing, Michigan

– Email: jain@cse.msu.edu

– Website: https://www.cse.msu.edu/~jain/

3. Alberto Sandoval Guridis

– President of Scenarios Security Group

– Expert in: Engineering, strategic communication, digital marketing, cybersecurity and informatic security.

– Work: President of Scenarios Security Group (Security services)

– Location: Dominican Republic

– Information: https://www.linkedin.com/in/bienvenido-alberto-sandoval-guridis-a13099186

– Twitter: @scenariossg

4. Wonsook Lee

– Associate Professor, Electrical Engineer and Computer Scientist

-Expert in: Biometrics, computer graphics, computer vision, face recognition, haptic graphics, human-computer interaction, etc.

– Work: EECS, Faculty of Engineering, University of Ottawa

– Location: Ottawa, Ontario

– Email: wslee@uottawa.ca

– Website: https://ca.linkedin.com/in/wonsook-lee-28838721

5. Adam Sandford

-Assistant Program Head

– Expert in: Cognitive psychology, cognitive representation of faces, face learning, face matching, face recognition, identification of faces from photographs and memory of faces.

– Work: Assistant Program Head of the Psychology program at University of Guelph- Humber (UofGH)

-Location: Guelph, Ontario

– Email: adam.sandford@guelphumber.ca

-Twitter: @DrASandfordGH

6. Christoph von der Malsburg

– Professor, Biological Science and physics, Computer scientist

– Expert in: Cognitive architecture, computer simulation of vision, face recognition technology, figure-ground separation, Neural systems for artificial vision, neurobiology, Self- organizing neural networks and theory of brain organization.

– Work: University of Southern California

– Location: Los Angeles, California

-Email: malsburg@usc.edu

– Website: https://www.linkedin.com/in/christhoph-von-der-malsburg-a0640286

References:

8 experts in “face recognition” . (n.d.). Retrieved from Expertise Finder : https://network.expertisefinder.com/search-experts?query=face+recognition

– This article talks about the experts and people known for their contribution in what is the technology known as facial recognition.

Dharaiya, D. (2020, marzo 12). History of Facial Recognition Technology and its Bright Future. Retrieved from Readwrite: https://readwrite.com/2020/03/12/history-of-facial-recognition-technology-and-its-bright-future/

– This article talks about the history of facial recognition and how it was in the past, how it is in the present and how it eventually be in the future.

Garvie, C. W. (2020). The Pros and Facial Recognition. (Virtual library)

– This article talks about the positive and negative aspects that are related to facial recognition technology. It present the benefit it has had for law enforcement and ho this technology affects our privacy.

How Does Facial Recognition Work? | Brit Lab. (2015, noviembre 26). Retrieved from BBC Earth Lab: https://youtu.be/1aHub80AHFk

– This video explains what facial recognition is, how it works and its benefits.

Lin J, Xiao L, Wu T. (2018, abril 26). Face recognition for video surveillance with aligned facial landmarks learning.(Virtual library)

– This article talks about how facial recognition has influenced in video surveillance, how it has benefit law enforcement and the impact it has had.

Lusa, K. (n.d.). Que es la biometria? Retrieved from Kimaldi: https://www.kimaldi.com/blog/biometria/que_es_la_biometria/

– This link talks about what is the biometric system, how it works, how it benefits and develops facial recognition.

Williams, G. (2018, agosto 29). 21 Mejores aplicaciones de reconocimiento facial para 2018. Retrieved from FaceFirst: https://www.facefirst.com/blog/21-mejores-aplicaciones-de-reconocimiento-facial-para-2018/

– This article talks about the 21 best apps of facial recognition and provides descriptions of each one.

Woodward, J. D. (2003). Biometrics a look at facial recognition. Santa Monica, California: Rand Corporation. (Virtual library)

– This article talks about how biometric technology has influence in facial recognition and how it has developed and benefited this technology to keep evolving.

This post was done with contribution of:

Angelica Miranda, Deyaneira Gonzalez, Nelson Cruz, Jackeline Calixto , Valeria Rodriguez and Me, Adriana Gotay.

Welcome to Adri’s opinion

Hi, welcome to my blog. The post you are going to see in this blogs are going to be about my opinions, as in the name of the blog. Il be talking about different topics; art, music, makeup, movies, basically you name it and Il probably talk about it. I hope you all enjoy it very much.

This tweet is about a classmate reacting to what we did in class.
Black and white art photographed, showing no need of color for art.

Hi, i would like for all of you to know a bit more about me. I’m a student at the University del Sagrado Corazón. In minar of college. Studying Public Relations with a minor in Producing and Marketing Events. I’m currently taking a class of Informatics 103 seccion 002. Its a class I really enjoy and hope to learn more about computers to be able to apply it to my career.