Looking for an Automotive SoC with LFM and RVC? Check Omnivision’s OX01E20

By Chad Cox

Production Editor

Embedded Computing Design

January 26, 2023

News

Santa, Clara, Calif. OMNIVISION, released its new automotive grade 1.3-megapixel (MP) OX01E20 system-on-chip (SoC) for surround view systems (SVS) and rear-view cameras (RVC). Also included is LED flicker mitigation (LFM) and 140db high dynamic range (HDR) capabilities.

“Content per vehicle continues to drive growth within the ADAS market. Surround and rear-view camera solutions that offer high performance and low power, with a small package size, are attractive to OEMs looking to offer convenient ADAS solutions to customers," says Mark Fitzgerald, director, Autonomous Vehicle Research, Strategy Analytics, powered by TechInsights.

The OX01E20 conforms in a 1/4-inch optical format package containing:

  • Micron image sensor
  • Advanced image signal processor (ISP)
  • Full-featured distortion correction/perspective correction (DC/PC)
  • On-screen display (OSD)

Key attributes of the OX01E20 that set it apart from competing solutions:

  • Industry-leading 140dB HDR and LFM simultaneously
  • HDR and LFM performance over the automotive temperature range
  • Advanced ISP that includes DC/PC and OSD
  • Use of a-CSP technology for the smallest possible solution
  • Low power consumption
  • Built on OMNIVISION’s PureCelPlus architecture, which is renowned for its low-light sensitivity and provides the industry’s best signal-to-noise ratio performance

 For more information, visit www.ovt.com.

Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.

He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.

Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.

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