Driver and Occupants Monitoring AI for Autonomous Vehicles
Driver and Occupants Monitoring AI for Autonomous Vehicles


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.


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.

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