Supply Ambarella AI SoC:CV5,CV52,CV2A,CV22A,H22
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Amidst the rapid evolution of AI vision technology, Ambarella’s high-performance, low-power AI SoC chips—CV5, CV52, CV2A, CV22A and H22—leveraging the CVflow® computer vision architecture, are widely applicable across diverse scenarios including smart automotive, security surveillance, drones, smart home and industrial vision.
I. Ambarella CV5: High-End Flagship 8K AI Vision Controller
The CV5 is a high-end flagship AI vision processing SoC based on Ambarella’s CVflow® architecture. Manufactured using an advanced 5nm process, it achieves an optimal balance between high performance and low power consumption, making it the preferred choice for core controllers in ultra-high-precision vision devices. The chip’s core strengths lie in ultra-high-definition video processing and multi-channel AI computing power. It supports 8K@30fps ultra-high-definition video encoding and decoding, whilst simultaneously processing four independent 4K video streams. Equipped with high-precision CNN/DNN neural network computing capabilities, it efficiently handles complex AI vision algorithms such as multi-object recognition, trajectory tracking and scene semantic segmentation.
Compared to chips in the same class, the CV5 demonstrates superior power management; in 8K ultra-high-definition recording scenarios, the total system power consumption can be kept below 4W, perfectly resolving the core conflict between high-definition computing power and battery life in high-end smart devices. Currently, this chip is primarily suited for high-end applications such as premium in-vehicle camera systems, industrial-grade panoramic inspection equipment, high-end aerial photography drones, ultra-high-definition security surveillance in large venues, and professional sports camera equipment.
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II. Ambarella CV52: High-Performance 4K Mainstream AI Vision Processing Chip
The CV52 is positioned for mid-to-high-end commercial AI vision applications. As a flagship SoC chip that balances computing power, cost-effectiveness and power consumption, it precisely meets the demands of mainstream 4K smart vision devices on the market. The chip builds upon Ambarella’s mature CVflow® vision processing architecture, focusing on 4K ultra-high-definition video processing capabilities. It supports 4K@60fps high-definition video encoding, decoding and real-time image processing, and features a built-in high-performance image signal processor (ISP) that optimises image quality in complex environments such as strong light, backlighting and low light, significantly enhancing the device’s environmental adaptability.
In terms of AI computing power, the CV52 can stably run a variety of lightweight and mid-to-high-end vision algorithms, supporting functions such as smart security intrusion detection, human figure recognition, behaviour analysis, as well as visual positioning and obstacle recognition for intelligent robots. Thanks to its balanced overall performance, this chip is widely used in scenarios such as commercial security cameras, smart access control systems, industrial light-duty inspection robots, and mid-range aerial photography drones.
III. Ambarella CV2A: Entry-level, low-power stereo vision AI chip
The CV2A is Ambarella’s classic entry-level, low-power AI SoC, focusing on lightweight AI computing and stereo vision acceleration capabilities, and designed specifically for low-power, low-cost smart vision devices. The chip features a dedicated stereo vision processing unit, supporting stereo vision functions such as binocular vision ranging, general obstacle detection and terrain modelling. It is also compatible with basic AI algorithms for monocular vision, including image classification, object tracking and scene recognition. Its computing power is precisely tailored to the requirements of entry-level smart devices, with no performance redundancy, effectively controlling device costs.
In terms of video processing, the CV2A supports 4K@60fps and 8MP@60fps high-definition video encoding. It integrates a highly efficient video codec engine, is compatible with mainstream H.264 and H.265 encoding formats, and is suitable for a wide range of video capture and storage scenarios. Its ultra-low power consumption design makes it the ideal core chip for smart home surveillance cameras, entry-level driver assistance systems, small service robots, and portable smart vision terminals. Mingjiada Electronics maintains ample stock of the CV2A chip, supporting the mass deployment of various entry-level smart vision solutions.
IV. Ambarella CV22A: A Lightweight, High-Definition Smart Vision Controller Chip
The CV22A is a lightweight, high-definition AI SoC developed by Ambarella for consumer-grade smart devices. It utilises a 64-bit quad-core Arm Cortex-A53 CPU architecture with a maximum clock speed of 1.0GHz, supports both ThreadX and Linux operating systems, and offers exceptional flexibility. The chip integrates advanced image processing technology with proven CVflow® computer vision processing power, balancing high-definition video capture with lightweight AI analysis. It supports 4K@60fps high-definition video recording and encoding, delivering excellent colour reproduction and dynamic clarity.
Compared to the CV2A, the CV22A is more focused on consumer-grade applications, featuring a more compact form factor and lower power consumption. It is ideally suited for consumer electronics such as smart action cameras, panoramic VR cameras, wearable smart cameras, and small civilian drones. Its stable algorithm performance and extremely low power consumption effectively enhance the battery life and user experience of consumer devices.
V. Ambarella H22: Dedicated Automotive and Portable Camera SoC
The H22 is Ambarella’s flagship AI SoC chip designed specifically for in-vehicle video recording and portable camera applications. Manufactured using a mature 14nm process, it integrates a high-performance ISP image processor and dual-format H.264/H.265 video encoders, alongside a quad-core Arm Cortex-A53 CPU, enabling it to simultaneously meet multiple requirements including image capture, video encoding, intelligent data analysis and device control. The chip supports 12MP@30fps high-definition video encoding and decoding, delivering clear imaging and stable picture quality, and is suited to the specific operating environments of in-vehicle applications, such as complex lighting conditions and vibrations.
With its core advantages of high stability, low power consumption and high integration, the H22 chip is the preferred choice for in-vehicle dashcams, driver assistance systems, small aerial photography drones, portable action cameras and Wi-Fi streaming cameras. The chip enables complete video processing and basic AI analysis functions without the need for complex peripheral circuits, effectively reducing both development complexity and production costs.
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