Advances in image sensor capabilities, such as improved imaging in low-light conditions, coupled with reduced footprint and lower power consumption, are enabling more and more systems to incorporate computer vision. In this presentation we’ll illuminate the key image sensor specifications that computer vision system developers should focus on in order to deliver an excellent end-user experience. We’ll introduce key parameters such as modulation transfer function (MTF) and quantum efficiency (QE), explain their impact on system performance, and show how to make the right tradeoffs among them without compromising other requirements like HDR (high dynamic range) capability. We’ll also touch on various embedded image sensor features that can help system developers meet the challenging requirements of tomorrow’s devices.
Image Sensors to Enable Low-cost and Low-power Computer Vision Applications
Session Speakers
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Ruchi Upadhyay
Technical Marketing Manager, STMicroelectronics
Ruchi Upadhyay is a Technical Marketing Manager in ST’s imaging division, where she manages and promotes the entire product portfolio of the imaging division to key customers. For the past three years, she has overseen the management of the Automotive Ecosystem Partnership for the Imaging Division, which includes cameras and time-of-flight technologies. She is one of ST’s first technical points of contact for applications such as object detection and ranging. Ruchi Upadayay holds an Electrical Engineering degree from San Jose State University.
