Explore real-time face recognition using Microsoft Cognitive Services in this comprehensive conference talk. Dive into the practical applications of Microsoft Face API, understanding its tiers and implementation challenges. Learn why offline detection libraries are crucial and discover the benefits of incorporating infrared and depth cameras like Kinect and Intel RealSense into your applications. Gain insights on cost-effective strategies, face tracking techniques, and solutions for low-light environments. Follow along with code examples and practical tips to enhance your face recognition projects.
Real-time Face Recognition With Microsoft Cognitive Services
Overview
Syllabus
Intro
Why Cognitive Services?
Challenges
Face API tiers
Web API calls for 3 people
What about streaming?
Naive implementation (cost)
Simple cost reductions
Offline face detection libraries
Tracking faces
Detect moving faces
Tracking number of faces (code)
Additional tips #5
Additional tips #6
Low light environment - web cam
Low light environment - Kinect v2
Infrared camera
IR/depth cameras with Cognitive Services
Recap
Taught by
NDC Conferences
