Specifications

Mali-C71 delivers key visual information for the smart automotive market, creating clear and convenient viewing for the driver.

Mali-C71 is the automotive enhanced (AE) product in the Mali Camera family of Image Signal Processors (ISP). Mali-C71 was developed for the emerging smart automotive market, delivering key visual information to the driver for clear and convenient viewing. Mali-C71 supports vision systems needing to meet the requirements of ISO26262 for functional safety in a variety of automotive applications from all-round vehicle awareness, mirror replacement, through to night vision improvement. 

Camera support: 
4 dedicated video inputs of max resolution 4096 x 4096
Channel support: RGGB, RCCC, RGBIr, RCCB, RCCG
Channel support: Memory-to-memory processing mode for up to 16 channels


Training courses

Arm training is written and delivered by the world's most experienced Arm technology trainers. Arm also supports a network of third-party training providers who are licensed to deliver a number of related training courses.

Mali Camera Hardware design Mali Camera IQ Tuning
Mali Camera Software development
At the end of this course, delegates will be able to:
  • Describe the Mali Camera pipeline and main functions.
  • Integrate Mali Camera into their SoC and configure to match their system requirements.
  • Replace internal memories with their own memories and calculate the size according to the system specification.
  • Explain the details behavior of Mali Camera ports.
  • Run IP test cases when they get the release package and migrate IP test cases into SoC testbench.
At the end of this course, delegates will be able to:
  • Describe the tuning procedure and how long the tuning takes.
  • Explain the IQ metrics and how the image quality relates to the end performance of camera.
  • State what modes are supported
  • Calibrate and tune to achieve uncompromised camera performance.
At the end of this course, delegates will be able to:
  • State the purpose, features, architecture, and dataflow of the Arm Mali ISP.
  • Describe common user cases of ISP software DDK.
  • Explain the Internal Logic of the DDK and port to target platform with existing delivered resource.
  • Use the reference design environment and Arm Camera Control Tools (ACT), to configure the ISP and apply it to common uses

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Suggested answer YUV -> RGB based on extension: GL_EXT_YUV_target 0 votes 315 views 2 replies Latest 2 days ago by GuDuJian Answer this
Answered Mali T720 VRAM increase when render with high FPS 1 votes 619 views 3 replies Latest 3 days ago by Android Jeff Answer this
Answered GPU's cycles in Streamline
  • Mali GPU (Bifrost Architecture)
  • Streamline Performance Analyzer
0 votes 618 views 5 replies Latest 4 days ago by JPJ Answer this
Answered How to calculate memory band width ? 0 votes 502 views 2 replies Latest 5 days ago by huanshen Answer this
Answered Frame rate in Streamline
  • Streamline Performance Analyzer
0 votes 1323 views 1 replies Latest 10 days ago by Peter Harris Answer this
Answered mali_offline_compiler question 0 votes 2312 views 6 replies Latest 10 days ago by huanshen Answer this
Suggested answer YUV -> RGB based on extension: GL_EXT_YUV_target Latest 2 days ago by GuDuJian 2 replies 315 views
Answered Mali T720 VRAM increase when render with high FPS Latest 3 days ago by Android Jeff 3 replies 619 views
Answered GPU's cycles in Streamline Latest 4 days ago by JPJ 5 replies 618 views
Answered How to calculate memory band width ? Latest 5 days ago by huanshen 2 replies 502 views
Answered Frame rate in Streamline Latest 10 days ago by Peter Harris 1 replies 1323 views
Answered mali_offline_compiler question Latest 10 days ago by huanshen 6 replies 2312 views