Biometric Recognition Course Using Artificial Intelligence
Learn concepts, technical aspects, and general notions of biometrics
Understand the architecture and processes of an Automated Biometric Identification System (ABIS)
Learn about the main and most current challenges and solutions in the area
Familiarize yourself with industry certifications, nomenclatures, and standards
Learn more about conducting large-scale biometric projects
Follow practical demonstrations of biometrics in civil identification and forensic use
INSTRUCTORS
Jemima Santos
Biometrics Specialist
Instructor at the Civil Police Academy and the National Public Security Secretariat, with 30 years of experience in fingerprint expertise and human identification
CRISTIAN MOECKE
Chief Technology Officer, Partner
He leads the research and development area, with a Master's degree in Computing from the Federal University of Santa Catarina (UFSC). He worked as a researcher at the Center for Advanced Security Research at the University of Darmstadt (Germany) and has 15 years of experience in developing critical security solutions
ANDRÉ NÓBREGA
Research Engineer
Researcher in Computer Science with a focus on machine learning and image analysis, working especially on latent fingerprint identification systems. He holds a bachelor's degree in Electrical Engineering and a master's degree in Computer Science, and is currently a PhD candidate at Unicamp.
JOÃO CONTRERAS
Research Engineer
He has a master's degree in Computer Science from Unicamp and works with computer vision and biometrics, with a focus on fingerprint recognition. A computer engineer from Unicamp, he has experience in mobile robotics and sensory fusion.
97%
would recommend the course
for acquaintances
95%
approved the
speakers
97%
praised the organization
of the course
Biometric Recognition with AI
GENERAL SUMMARY
DAY 1
Fundamentals of Biometrics and Papilloscopic Recognition Techniques
DAY 2
Applied Papilloscopic Recognition and Latent Search Practice
DAY 3
Artificial Intelligence Applied to Biometrics and Practice in Neural Networks
DAY 4
Facial Recognition Techniques and Security in Biometric Systems
DAY 5
Methodologies and Fundamentals in the Execution of Biometric Projects
INFORMATION
DATE: To be determined
SCHEDULE: To be determined
COURSE LOAD: 25 hours
LOCATION: To be determined
INCLUDES: Coffee break and certificate of completion
FEE: Please contact us for more information
Get your certificate!