Facial recognition is everywhere from Facebook to security, gaming, stores, and airports, and its use is only growing. Facial recognition is popular because face images exist of almost everyone. You’ve got driver’s license photos, identity badges from wherever you work, library cards, warehouse club cards, social media. . .the list goes on. (The FBI has said that its database includes at least 4.3 million “civil images”—those taken for noncriminal purposes.) With the advent of several open source facial recognition libraries, the technology will become increasingly commonplace.
Join Kesha Williams to learn about advances in facial recognition and see what it means for you now and what it may look like 5 or 10 years down the road. Along the way, you’ll explore OpenCV (the Open Source Computer Vision Library) while taking a peek under the hood of a real face-detection system. You’ll leave with a better understanding of the technical aspects of facial recognition and how to integrate face detection into your existing applications.
Kesha Williams is a senior software engineer at Chick-fil-A Corporate. Kesha is a software engineer with over 20 years’ experience specializing in full stack web application development using Java, Spring, Angular, and Amazon Web Services (AWS). She’s trained and mentored thousands of software developers in the US, Europe, and Asia while teaching Java at the university level. She held a summer internship with the National Security Agency (NSA)—how cool is that? She recently won the Ada Lovelace Award in Computer Engineering from Look Far and the Think Different Innovation Award from Chick-fil-A for her work on investigating how emerging technologies and artificial intelligence can enhance restaurant operations and customer experiences. In her spare time, she leads the Georgia chapter of Technovation, speaks at technical conferences across the country, serves as a mentor with the New York Academy of Sciences, and conducts free “Hour of Code” workshops for children at her local library.
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