S5918 - Ubiquitous Perceptive 3D Sensing for a Smart Internet of Things
CEO, Quanergy Systems, Inc.
Louay Eldada is founder and CEO of Quanergy Systems, Inc., a privately held Silicon Valley-based technology company developing and manufacturing smart sensors and sensing systems. Louay is a serial entrepreneur, having founded and sold three businesses to Fortune 100 companies. His fourth start-up, Quanergy, is developing compact low-cost high-performance high-reliability LiDAR (light detection and ranging) sensors and software used for capturing and processing 3D mapping data in real time. In transportation, the data will be utilized to greatly improve the accuracy and reliability of on-board driver safety systems and enhance them with object recognition and scenario analysis capability, as well as enable autonomous driving in the future. Quanergy has established early partnerships with global automotive, mining and digital mapping companies, and will be expanding its market footprint into logistics, robotics, aeronautics, security, and 3D-aware consumer electronics. Prior to Quanergy, Dr. Eldada was VP of technology at Amprius, a developer of lithium ion batteries based on silicon nanowire anodes. He was earlier CSO of SunEdison where he led innovation programs in photovoltaic and energy storage systems, after serving as CTO of HelioVolt, where he led the development of thin film photovoltaic technologies. He was earlier CTO of DuPont Photonic Technologies, a business that was formed from the acquisition by DuPont of Telephotonics, a company that he founded and where he led as CTO the development of optoelectronic telecommunication modules. His first industry job was at Honeywell, where he started the Telecom Photonics business and directed its R&D division. The success of the business led to its acquisition by Corning, where he continued to direct technical development. He chaired and organized 160 conferences; delivered 200 keynotes and invited talks/courses; published 270 technical papers, books and book chapters; received 50 technical awards and has 65 patents. He studied business administration at Harvard, MIT and Stanford and holds a Ph.D. in optoelectronics from Columbia University.
Innovations in perceptive smart sensors comprising solid state 3D LiDARs and GPUs with artificial intelligence software have reached a cost level that allows them to be deployed ubiquitously, supporting a smart Internet of Things (IoT). These smart sensors provide real-time information on billions of 'Things' and their surroundings (through 3D object detection, tracking, and classification) and, when needed, the ability to control them. The 'Things' include vehicles, infrastructure, buildings, homes, appliances, light controls, thermostats, medical devices, computers, and handheld devices. Growth of personal devices (phones, tablets, laptops, game consoles) is limited by the number of people in the world. The largest growth will come from connected devices in areas such as smart energy, home automation, and transportation.
Tags: Automotive; Computer Vision & Machine Vision; Machine Learning & Deep Learning