New Version of Most Widely Used Camera and Imaging Interface—MIPI CSI-2—Designed to Build Capabilities for Greater Machine Awareness

MIPI CSI-2 v3.0 introduces features intended to enhance contextual awareness in mobile, client, automotive, industrial IoT and medical use cases

PISCATAWAY, N.J.--()--The MIPI Alliance, an international organization that develops interface specifications for mobile and mobile-influenced industries, today announced major enhancements to MIPI Camera Serial Interface-2 (MIPI CSI-2), the most widely used camera specification in mobile and other markets. MIPI CSI-2 v3.0 delivers multiple features designed to enable greater capabilities for machine awareness across multiple application spaces, such as mobile, client, automotive, industrial IoT and medical.

MIPI CSI-2 is the primary interface used to connect camera sensors to application processors in systems such as smart cars, head-mounted augmented and virtual reality (AR/VR) devices, camera drones, Internet of Things (IoT) appliances, wearables and 3D facial-recognition systems for security and surveillance. Since its introduction in 2005, MIPI CSI-2 has become the de facto specification for mobile devices. With each new version, MIPI Alliance has delivered crucial new functions driven by emerging imaging trends in mobile.

“We are continuing to leverage what we have done for mobile phones and expanding this to a much broader category of platforms,” said Joel Huloux, chairman of MIPI Alliance. “CSI-2 v3.0 is the second installment in a three-phase development plan, through which we are effectively developing the imaging conduit infrastructure to enable machine awareness through sight. Our lives will be enriched as we better enable machines to assist us, and MIPI Alliance is developing the infrastructure to realize that future. We appreciate our members’ leadership in coming together over the years to collaborate on various use cases and drive development of CSI-2.”

MIPI CSI-2 v3.0 introduces three key new features:

  • Unified Serial Link (USL), for encapsulating connections between an image sensor module and application processor—This capability is crucial for reducing the number of wires needed in IoT, automotive and client products for productivity and content creation, such as all-in-one and notebook computers.
  • Smart Region of Interest (SROI), for analyzing images, inferencing algorithms and making better deductions—This capability could enable machines on a factory floor, for example, to more quickly identify potential defects on a conveyor belt, or it could enable medical devices to more surely recognize anomalies such as tumors.
  • RAW-24, for representing individual image pixels with 24-bit precision—This capability will enable machines to make decisions from superior quality images. An autonomous vehicle, for example, could decipher whether darkness on an image is a harmless shadow or a pothole in the roadway to be avoided.

“Innovation of MIPI CSI-2 never stops; we aim to remain at the frontier of providing end-to-end imaging conduit solutions for emerging vision and real-time perception and decision making AI applications mapped to mobile, client, IoT, medical, drones and automotive (ADAS) product platforms,” said Haran Thanigasalam, MIPI Camera Working Group chair. “In fact, work is already well underway on the next version of MIPI CSI-2, with a highly optimized ultra-low-power always-on sentinel conduit solution for enhanced machine awareness, data protection provisions for security, and functional safety, as well as MIPI A-PHY, a forthcoming longer reach physical layer specification.”

MIPI Alliance offers a comprehensive portfolio of companion specifications and tools in support of CSI-2 v3.0:

  • MIPI Camera Command Set (MIPI CCS)—defines standard functionalities for implementing and controlling image sensors, reducing integration requirements and SW driver development costs for complex imaging and vision systems. A new version mapped to CSI-2 v3.0 will be released later this year.
  • A Conformance Test Suite (CTS) for CSI-2 v3.0, which defines a set of conformance or interoperability tests, was also released in conjunction with the specification.
  • MIPI CSI-2 and MIPI CCS can be implemented on either of two physical layers: MIPI C-PHY and MIPI D-PHY.

MIPI C-PHY v2.0 was recently released to support CSI-2 v3.0 capabilities, including support for 6 Gsps over the standard channel and up to 8 Gsps over the short channel; RX equalization; fast BTA; medium channel lengths for IoT applications; and an in-band control signaling option. MIPI D-PHY v2.5, with alternate low power (ALP), which uses pure low-voltage signaling instead of legacy 1.2 V LP signaling and a fast BTA feature for support of CSI-2 v3.0, will be released later this year.

Don’t miss MIPI DevCon Taipei, October 18, 2019, for topics on camera applications, sensors and much more.

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About MIPI Alliance

MIPI Alliance (MIPI) develops interface specifications for mobile and mobile-influenced industries. There is at least one MIPI specification in every smartphone manufactured today. Founded in 2003, the organization has over 300 member companies worldwide and 14 active working groups delivering specifications within the mobile ecosystem. Members of the organization include handset manufacturers, device OEMs, software providers, semiconductor companies, application processor developers, IP tool providers, test and test equipment companies, as well as camera, tablet and laptop manufacturers. For more information, please visit www.mipi.org.

MIPI® is a registered trademark owned by MIPI Alliance. MIPI A-PHYSM, MIPI CCSSM, MIPI CSI-2SM, MIPI C-PHYSM and MIPI D-PHYSM are service marks of MIPI Alliance.

Contacts

Lisa McCausland
Interprose for MIPI Alliance
+1 303.888.2137
lisa.mccausland@interprosepr.com

Release Summary

MIPI CSI-2 v3.0 introduces multiple features designed to enable capabilities for machine awareness in mobile, automotive, IoT & medical applications.

Contacts

Lisa McCausland
Interprose for MIPI Alliance
+1 303.888.2137
lisa.mccausland@interprosepr.com