Age Detection Using Convolutional Neural Networks

Chivin So, Gilliean Lee

Facial analysis from images has attracted a lot of attentiveness due to the fact that it helps solve many problems including targeting customers for a particular product, targeting ads for a specific group of customers, giving superior content recommendation as well as security field. More importantly with age detection combine with facial recognition, it allows one to track human activity and also monitoring their health based on their age. The main objective of this research is to identify a person facial image and detect their age.

• Chivin So is from Phnom Penh, Cambodia. He graduated from Greenwood Christian School, South Carolina. Chivin is a senior CIS Major with an emphasis on software development. Additionally, he is minoring in cyber security. He has experience with machine learning, deep learning, application development, and database design.