Driver and Occupants Monitoring AI for Autonomous Vehicles

Abstract: This session will unveil the leading in-cabin vision AI technology, targeted for highly automated vehicles (HAVs) - detecting passengers' behavior with a high degree of accuracy, using over 30 analytics.

*Discover the latest Silicon Valley technology for cameras using deep learning to detect human emotions and overall behavior - ready for mass production
*Understand the role of driver and occupants' behavior measurement to improve safety, security and overall user experience
*Learn about the new ridership economy, fueled by ambient services, hyper-targeted for riders of the next-gen autonomous vehicles based on riders' behavior, space and time - Identify the next breed of automotive business opportunities.

Bio: Modar is a tech entrepreneur and expert in artificially intelligent vision technologies, deep learning and ambient intelligence. He is currently founder and CEO at Eyeris, the worldwide leading deep learning-based emotion recognition software. The company’s flagship product EmoVu reads facial micro-expressions in real-time and uses Convolutional Neural Networks (CNN's) as a Deep Learning architecture to train and deploy its algorithm into a myriad of today’s commercial applications. Modar combines a decade of experience between Human Machine Interaction (HMI) and Audience Behavior Measurement. He is a frequent speaker and keynoter on “Ambient Intelligence” as the next frontier in AI, a winner of several technology and innovation awards and has been featured in the Wall Street Journal, the Huffington Post, Bloomberg and many other major publications for his work.

Open Data Science Conference