Title

Principles of Canesta CMOS 3D Time of Flight Systems

Speaker

Dr. Cyrus Bamji, Co-founder and CTO of Canesta

Abstract

Canesta's 3D electronic perception technology allows electronic devices to perceive their environment by providing accurate 3D information about the world around them. Canesta's 3D time of flight sensor is a massively parallel LIDAR on a single CMOS chip. When coupled to a light source such as a LED, laser or VCSEL, each 3D pixel on the chip provides independent distance information to objects in the field of view of the device. The basic operating principle of Canesta's CMOS phase-based pixel technology is described. An analysis of the factors influencing sensor performance is presented and an explanation of how to build a time of flight system that meets the requirements of a given application is provided. Applications for 3D time of flight systems are described and advantages of these systems over competing methods are discussed. Canesta's latest high resolution 3D camera will be demonstrated.

Biography

Dr. Cyrus Bamji is the Co-founder and CTO of Canesta Inc. He has 9 years of industry experience working in Electronic Design Automation. Previously he held the position of Architect, at Cadence Design Systems. He has an SB in Math, SB in CS, SM and Ph.D. in EECS all from MIT.

He has interest in and is conversant with a wide variety of technical disciplines including Physics, Math, Electrical Engineering, and Computer Science. His work in the area of hierarchical layout compaction has produced a quantum improvement in the state of the art in this area and is recognized as a landmark achievement. He is the author of over 15 conference papers and journal articles presented at top rated IEEE Conferences. Of these papers, three have won the best paper award at their respective conferences. He is the inventor of 19 granted patents, with many more pending. He is also the author of a book on Leaf Cell and Hierarchical Compaction Techniques. At Canesta Dr. Bamji is involved in the design and implementation of next generation high performance time of flight detectors and pixels.