Texas A&M researchers partner with MoodMe to enhance facial analysis

From Snapchat photo filters to Super Bowl crowd surveillance to identity verification in airports, facial analysis techniques have taken the industry by storm. With a multitude of applications, this branch of artificial intelligence is ever evolving – encompassing image tagging on social media, expression recognition, security, marketing, robotics and more.

Bridging industry and education, a team of researchers led by Dr. Zhangyang “Atlas” Wang, assistant professor in the Department of Computer Science and Engineering at Texas A&M University, is collaborating with MoodMe to improve the algorithms used in the company’s facial analysis and recognition programs.

Texas A&M researchers partner with MoodMe to enhance facial analysis | Texas A&M University Engineering (tamu.edu)

No comments yet.

Leave a Reply