Counterfeit Detection Using Machine Learning and Deep Learning
Virtual: https://events.vtools.ieee.org/m/480244With the advancements in smartphone capabilities, digital anti-counterfeiting technologies such as copy detection patterns and surface fingerprints are replacing traditional solutions (e.g. holograms, security inks). These digital authentication techniques have numerous advantages: they provide intrinsic security, rely on existing production processes, and authentication can potentially be performed by anyone with a smartphone. However, pushing the boundaries in terms of security and ease of verification raises a number of challenges, which are best addressed by machine learning and deep learning techniques. Co-sponsored by: Fairleigh Dickinson University Speaker(s): Dr. Justin Picard Agenda: Fairleigh Dickinson University 1000 River Road, Building: Muscarelle Center, Room Number: 105 Teaneck, New Jersey, United States 07666 For additional information about the venue and parking, please contact Dr. Hong Zhao zhao@fdu.edu Virtual: https://events.vtools.ieee.org/m/480244