【Amba系列】之安霸新推出的计算机视觉芯片CV22简介
DATE: 2019-2-18
1、参考
https://www.ambarella.com/uploads/docs/CV22-product-brief-consumer.pdf
http://www.ambarella.com/about/news-events/press-images/CV22-press-image
https://www.asmag.com/showpost/26902.aspx
https://cloud.tencent.com/developer/news/341774
https://blog.csdn.net/weixin_42229404/article/details/81481728
2、CV22、CV22AQ简介
Ambarella, a developer of low-power, HD and Ultra HD video processing semiconductors, introduced the CV22 camera SoC, combining image processing, 4Kp60 video encoding and CVflow computer vision processing in a single, low power design.
The CV22’s CVflow architecture provides the DNN (Deep Neural Network) processing required for the next generation of intelligent home monitoring, automotive, drone and wearable cameras. Fabricated in advanced 10nm process technology, it achieves an industry-leading combination of low-power and high-performance in both human vision and computer vision applications.
“CV22 enables customers to deploy cameras with high-performance deep-learning capabilities,” said Fermi Wang, CEO of Ambarella. Compared with inefficient CPU and GPU solutions, CV22 provides powerful computer vision performance combined with high-quality image processing, efficient video encoding and the low-power operation required to be deployed in mass production. “It will enable a new level of intelligence in cameras, ranging from person recognition in home monitoring cameras to advanced ADAS capabilities in automobiles,” Wang said.
The CV22’s CVflow architecture provides computer vision processing at full 4K or 8-Megapixel resolution at 30 frames per second, to enable image recognition over long distances and with high accuracy. It includes efficient 4K encoding in both AVC and HEVC video formats, delivering high-resolution video streaming with very low bitrates to minimize cloud storage costs.
The CV22’s next-generation ISP (Image Signal Processor) provides outstanding imaging in low light conditions while HDR (High Dynamic Range) processing extracts maximum image detail in high contrast scenes, further enhancing the computer vision capabilities of the chip. It includes a suite of advanced security features to prevent hacking, including secure boot, TrustZone and I/O virtualization.
A complete set of tools is provided to help customers to easily port their own neural networks onto the CV22 SoC. This includes compiler, debugger and support for industry standard training tools including Caffe and TensorFlow, with extensive guidelines for CNN (Convolutional Neural Network) performance optimizations.
安霸半导体公司(Ambarella)推出了一款新型汽车摄像头芯片，安霸CV22AQ，可为汽车高级驾驶员辅助(ADAS)系统中的深度神经网络(DNN)提供计算机视觉。
该芯片使用安霸CVflow计算机视觉架构，目标应用包括前置ADAS摄像头、带有盲点检测(BSD)功能的电子镜、车内驾驶员和驾驶舱监控摄像头以及具停车辅助功能的全景式监控系统(AVM)。该新型片上系统在车道保持、自动紧急制动(AEB)、智能大灯控制和速度辅助功能方面的应用，超出了欧洲新车评测系统(NCAP)的性能要求。此外，其采用先进的10纳米工艺技术打造，功耗低，支持挡风玻璃前置ADAS摄像头在尺寸和散热方面的要求。
安霸半导体首席执行官Fermi Wang表示：“到目前为止，因外形尺寸造成的功耗限制，导致前置ADAS摄像头的性能受到限制。CV22AQ提供业界领先的卓越神经网络，而且功耗低于2.5瓦，且具备一流的图像处理能力，可让一级供应商和OEM 客户大大提高ADAS算法的性能和准确性。”
CV22AQ的CVflow架构以每秒30帧的速度提供800万像素分辨率的计算机视觉处理能力，可精确识别远距离物体。此外，CV22AQ支持多视场摄像头的多个图像传感器输入，还可使用单个高分辨率图像传感器创建多个数字视场，以降低系统成本;其支持DNNs用于物体检测、分类(即行人、车辆、交通标志、交通信号灯)、跟踪以及自由空间检测等应用。
CV22AQ的高性能图像信号处理器(ISP)在低光条件下，可以提供出色的成像。而高动态范围成像(HDR)处理可从高对比度环境中最大限度地提取图像的细节，从而进一步提高了该芯片的计算机视觉能力。此外，该芯片包含AVC和HEVC视频格式的800万像素编码，允许客户为其汽车摄像头添加视频录制和流媒体功能。
