The MIPI Alliance 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.
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-PHYand 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.
