This project was made for the Independent Study Mentorship Program. The Independent Study Mentorship Program is a rigorous research-based program offered at Frisco ISD schools for passionate high-achieving individuals.
Throughout the course of the program, students carry-out a year-long research study where they analyze articles and interview local professionals. Through the culmination of the research attained, students create an original work, presented at research showcase, and a final product that will be showcased at final presentation night. Through the merits of this program, individuals are able to follow their passions while increasing their prominence in the professional world and growing as a person.
The ISM program is a program in which students carry-on skills that not only last for the year, but for life. ISM gives an early and in-depth introduction to the students' respective career fields and professional world. Coming out of this program, students are better equipped to handle the reality of the professional world while having become significantly more knowledgeable of their respective passions. The ISM program serves as the foundation for the success of individuals in the professional world.
Facial Recognition Based Attendance Tracker: This attendance system uses image datasets to create an average encoding of the person. This encoding is then compared with frame encodings from the camera stream. Down below is the documentation for each part of this application
- Commits: This where you can see a short description of the changes I made, the time I made it and the files I changed.
- Files: Below the commits are where you can find my program files with all of my code/other resources
- ReadME: The ReadME file is this file! You can find a preface and documentation over the whole project.
All Documentation can be found at the Official ReadTheDocs
All Instructions for Requirements and Setup can be found here
My research and work for this year can be found at my Digital Portfolio
I would just like to give a special thank you to Adam Geitgey for the creation of his facial_recognition class.
I would also like to give a special thanks to the following individuals for their contributions to my research throughout this project.
- Trey Blankenship [Raytheon]
- Won Hwa Kim [UT Arlington]
- Tim Cogan [ams AG]
- Vijay Nidumolu [Samsung Electronics America]
- Sehul Viras [Dallas Baptist University & IntelliCentric]
One last thank you for the Radicubs Robotics Team for helping me test this attendance tracker.
