AllGo to demonstrate deep learning-based Driver Monitoring solution on ARM platform at TU Auto Detroit
DETROIT--(BUSINESS WIRE)--The importance of camera-based Driver Monitoring
technology has significantly increased following the announcement of Euro NCAP
2020 safety requirements and the recent unfortunate incidents involving autonomous
test vehicles. Top tier 1s and automakers are racing to build an agile Driver
Monitoring Solution to satisfy these imminent requirements.
AllGo Driver Monitoring solution provides reliable Driver Distraction and Drowsiness detection by using recent advances in deep learning technology and light-weight, highly-optimized implementations on ARM based SoCs. Advanced head pose estimation and gaze detection techniques also enable Augmented Reality HUD integration and innovative HMI concepts.
“As a leader in Cockpit Electronics solutions, AllGo is pleased to offer our deep learning-based Driver Monitoring solution on ARM platforms,” said Nirmal Kumar Sancheti, Vice President – Engineering, AllGo Systems. “Our in- house expertise in Image processing combined with Deep learning has enabled us to provide a robust and efficient solution.”
This solution, which was demonstrated first at CES 2018 on a GPU, is now ported and optimized on ARM based platforms. It works with both IR and RGB Cameras and is designed to work with people of multiple authenticities, genders, ages and expressions. It handles key challenges such as partial occlusions, uneven illuminations and multi angled images. The gaze detection technology works with eyes of all sizes, color and shapes.
Write to email@example.com or firstname.lastname@example.org to know more about AllGo solutions. AllGo will also demonstrate technologies like Virtualized Android O for eCockpit, TCU/Gateway Solutions, and Distributed Display Solution at TU Automotive, Detroit, Booth A35.
Vikas Shukla (US/Europe)
Hasan Munshi (APAC)