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• NaN / NaN Back CA Skip navigation Search Search Search with your voice Sign in CA “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” from Avnet Search Watch later Share Copy link Info Shopping Tap to unmute 2x If playback doesn't begin shortly, try restarting your device. • You're signed out Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer. CancelConfirm Up next Live Upcoming CancelPlay Now Share Include playlist An error occurred while retrieving sharing information. Please try again later. 0:00 0:00 / 27:54•Watch full videoLive • • Scroll for details “SELECTING IMAGE SENSORS FOR EMBEDDED VISION APPLICATIONS: THREE CASE STUDIES,” FROM AVNET Unlisted Edge AI and Vision Alliance Edge AI and Vision Alliance 4.48K subscribers <__slot-el> Subscribe <__slot-el> Subscribed 1 Share Download Download Save 49 views 1 month ago 49 views • Dec 19, 2023 Show less Monica Houston, Technical Solutions Manager at Avnet, presents the “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” tutorial at the May 2023 Embedded Vision Summit. …...more ...more TRANSCRIPT Follow along using the transcript. Show transcript EDGE AI AND VISION ALLIANCE 4.48K subscribers Videos About Show less “SELECTING IMAGE SENSORS FOR EMBEDDED VISION APPLICATIONS: THREE CASE STUDIES,” FROM AVNET Unlisted 49 views49 views Dec 19, 2023 1 Share Download Download Save 0 COMMENTS Sort comments Sort by Top comments Newest first Add a comment... DESCRIPTION “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” from Avnet Edge AI and Vision Alliance Edge AI and Vision Alliance 1 Likes Dec 19 2023 Monica Houston, Technical Solutions Manager at Avnet, presents the “Selecting Image Sensors for Embedded Vision Applications: Three Case Studies,” tutorial at the May 2023 Embedded Vision Summit. Selecting the appropriate type of image sensor is essential for reliable and accurate performance of vision applications. In this talk, Houston explores some of the critical factors to consider in selecting an image sensor, including shutter type, dynamic range, resolution and chromaticity. She explores the impact of these factors through three distinct use cases: defect detection, license plate recognition and crowd counting. For defect detection, Houston examines the advantages and disadvantages of monochrome image sensors. In license plate recognition, she highlights the importance of global shutter, pixel size, dynamic range and color space, providing a comprehensive introduction to key factors that contribute to successful recognition in varying light conditions. Lastly, she explores the trade-offs of high-resolution cameras in crowd counting applications and offers practical insights on developing fast and accurate machine learning models with high-resolution input. Show less Show more TRANSCRIPT Follow along using the transcript. 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