Age estimation Based on Deep Learning approach

Junhao Zhou


Supervised by Frank C Langbein; Moderated by Hiroyuki Kido

Age detection based on face recognition is a technology that uses computer algorithms and machine learning techniques to analyze facial features and predict a person's age. The system typically analyzes various facial characteristics such as wrinkles, skin texture, and facial contours to estimate the age of an individual. This technology can be used in a variety of applications, such as marketing and advertising, security, and healthcare. It has the potential to improve personalized services, optimize security systems, and aid in medical diagnosis and treatment. However, the accuracy of age detection based on face recognition can vary depending on various factors, such as lighting conditions, image quality, and ethnic and cultural differences.

Final Report (08/10/2023) [Zip Archive]

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