Arm Mali Cameras or Image Signal Processors (ISPs) deliver the highest image quality for embedded and automotive applications.
The Mali-C32 and Mali-C52 are designed for a wide variety of applications, such as security and smart cameras. They process each pixel in real time and deliver the best high dynamic image as well as great low-light performance.
The Mali-C71 is designed for the emerging smart automotive market, capturing twice the dynamic range of a standard single exposure sensor, and in some cases even outperforming the human eye. The Mali-C71 supports the requirements of SIL3 and ASIL-D functional safety for a variety of automotive applications from all-round vehicle awareness, mirror replacement, through to night vision improvement.
The Arm Mali-C71 delivers key visual information for the smart automotive market, creating clear and convenient viewing for the driver.
The Arm Mali-C52 delivers unparalleled image quality that is available in two configurations – it can be optimized for image quality or optimized for area.
The Arm Mali-C32 delivers outstanding image quality and state-of-the-art image signal processing in real-time. This ISP is optimized for area.
The Arm Mali Cameras have been specifically designed for the automotive and embedded market segments:
Security and internet protocol (IP) cameras
Drones and personal robots
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.
See below training opportunities for the Mali-C52 and Mali-C32
Arm ISP Control and Calibration tools
Speed up initial evaluation of the system, image quality and software performance with the Arm ISP reference platform, pre-built and pre-tuned with the Mali-C52 or Mali-C32 ISP.
Speed up development time with:
The Arm ISP reference platform is delivered with one fully tuned image sensor that is fully supported by FPGA logic and software components. The reference platform works out-of-the-box with minimum interaction from a user side and provides extended capabilities for monitoring ISP state by using the ISP tools.
Arm is working with many sensor vendors, so if you would like a different image sensor to be supplied with your reference platform, please contact your Arm partner manager or contact one of our technical experts.
Arm training courses and on-site system-design advisory services enable licensees to efficiently integrate the Mali Camera into their design.Arm training courses Open a support case
|Not answered||Map/Unmap operations with Zero copy buffer.||0 votes||1169 views||0 replies||Started 5 days ago by abhi.verma||Answer this|
|Not answered||Optimised OpenCL SGEMM implementation for ARM Mali Midgard GPUs.||0 votes||1143 views||0 replies||Started 6 days ago by abhi.verma||Answer this|
|Discussion||Deep Learning Inference on ARM/MALI: Super-Efficient Convolutional Neural Networks Implemented on ARM/MALI based SoCs||0 votes||13680 views||2 replies||Latest 19 days ago by abhi.verma||Answer this|
|Not answered||Irregular behaviour of vectors in OpenCL(1.2) kernels||0 votes||3861 views||0 replies||Started 20 days ago by abhi.verma||Answer this|
|Suggested answer||Optimised GPU convolution for low memory integrated devices -such as arm processors /GPUs?||0 votes||4512 views||2 replies||Latest 20 days ago by abhi.verma||Answer this|
|Not answered||Graphics Analyzer integration causing fatal error in app||0 votes||3730 views||0 replies||Started 27 days ago by Simplex_||Answer this|
|Not answered||Map/Unmap operations with Zero copy buffer. Started 5 days ago by abhi.verma||0 replies 1169 views|
|Not answered||Optimised OpenCL SGEMM implementation for ARM Mali Midgard GPUs. Started 6 days ago by abhi.verma||0 replies 1143 views|
|Discussion||Deep Learning Inference on ARM/MALI: Super-Efficient Convolutional Neural Networks Implemented on ARM/MALI based SoCs Latest 19 days ago by abhi.verma||2 replies 13680 views|
|Not answered||Irregular behaviour of vectors in OpenCL(1.2) kernels Started 20 days ago by abhi.verma||0 replies 3861 views|
|Suggested answer||Optimised GPU convolution for low memory integrated devices -such as arm processors /GPUs? Latest 20 days ago by abhi.verma||2 replies 4512 views|
|Not answered||Graphics Analyzer integration causing fatal error in app Started 27 days ago by Simplex_||0 replies 3730 views|