Embedded Vision Summit 2019
WHAT ARE WE SHOWCASING?
- Driver Monitoring Solution to combat distracted driving
A single camera-based solution for driver distraction monitoring In-attention detection. PathPartner’s DMS uses state of the art CNN models for advanced facial recognition and facial landmark tracking.
- Smart-Vision Algorithms Suite for Autonomous Machines
Camera based solution for object detection, traffic sign detection, lane markings and semantic segmentation using advanced machine learning algorithms. PathPartner’s smart-vision algorithms Represent a significant step forward in development of highly advanced autonomous machines such as AI-powered robots, drones and vehicles.
SPEAKER PRESENTATION
“Using Deep Learning for Video Event Detection on a Compute budget”
Speaker: Praveen Nayak
Technical Lead, PathPartner Technology
Praveen Nayak received his B.E in Electronics and Communication Engineering from M.S Ramaiah Institute of Technology, Bangalore, India in 2014 and his M.S in Electrical Engineering from the University of California, Santa Barbara in 2016. Praveen is currently Tech lead at the Automotive IP Team, which is responsible of developing Driver Monitoring Solution. Praveen’s areas of interest include complexity-aware design of learning algorithms and structured prediction with potential applications in computer vision and computational modelling.
You can also meet our experts on Embedded Vision, Automotive and Digital Media products to gain further insights on our offerings.
