Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications


Date:  Thursday, May 23

Start Time: 1:30 pm

End Time: 2:00 pm

Imagine a robot navigating a busy factory floor, a self-driving car detecting obstacles on the road or a security system accurately recognizing faces. These advancements in artificial intelligence are powered by tiny devices called CMOS image sensors. With a vast array of sensor options available, choosing the right one for your specific application can be challenging. In this talk, we’ll demystify the world of image sensors, exploring how they work and uncovering the key performance criteria you need to consider for projects in automation, robotics and beyond. Join us as we navigate the sensor landscape, equipping you with the knowledge to make informed choices and unlock the potential of edge AI!

Track

Session Speakers

  • Armita Abadian’s passion for engineering began in Tehran, Iran, where she earned an electrical engineering degree with a telecommunications minor. After working at a telecommunication research center, she immigrated to the United States for her master’s in Electrical Engineering (digital design) from San Jose State (2004). Her Silicon Valley career has spanned Foveon (image sensor start-up), Marvell Technology (storage chip validation) and Qualcomm Technologies (display systems). Transitioning to technical marketing, Armita focused on imaging and sensing at Onsemi and STMicroelectronics, catering to industrial, automotive, personal electronics and medical markets. Currently, she leverages her expertise and experience to advise start-ups harnessing 2D/3D sensors and edge AI for environmental monitoring and sustainability efforts. Based in the San Francisco Bay Area, Armita is driven to unlock technology’s potential for a greener future.


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Seeing Through Machines: A Guide to Image Sensors for Edge AI Applications