company blog about Recycle Ambarella Smart Cameras Products:CV7,CV5,CV2,H32,H2

Recycle Ambarella Smart Cameras Products:CV7,CV5,CV2,H32,H2

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I. The Flagship Edge AI Champion — CV7

Launched by Ambarella during CES 2026, the CV7 is a next-generation edge AI vision SoC manufactured using Samsung’s advanced 4nm process. As Ambarella’s most powerful and energy-efficient flagship product to date, it focuses on high-end smart cameras and multi-scenario AI perception applications, redefining the limits of edge AI vision processing.

Key Technical Highlights: Equipped with Ambarella’s third-generation CVflow AI accelerator, which integrates Convolutional Neural Networks (CNN) and Visual Transformer (ViT) algorithms, AI performance is 2.5 times that of the previous-generation CV5. It can accurately recognise objects at close range whilst efficiently capturing the entire scene, and supports Large Language Models (LLMs) and Visual Language Models (VLMs), offering industry-leading AI processing capabilities; Equipped with an advanced image signal processor (ISP), it supports clear imaging in ultra-low light conditions of 0.01 lux. Combined with features such as HDR, EIS and hardware-based distortion correction, it delivers rich-in-detail, stable video output; It boasts robust video processing capabilities, supporting simultaneous multi-stream processing of single-channel 8Kp60, dual-channel 8Kp30, single-channel 4Kp240 or quad-channel 4Kp30. It can accommodate up to 12 input streams and is compatible with multiple encoding formats including H.264, H.265 and MJPEG, achieving a perfect balance between high resolution and low bitrate.

It offers significant power efficiency advantages, with power consumption reduced by 20% compared to previous-generation products. Leveraging a 4nm process and Ambarella’s proprietary AI architecture, it substantially reduces thermal requirements for compact devices, thereby extending battery life. Furthermore, the CV7 highly integrates multiple functional modules, replacing multi-chip solutions to reduce device size, shorten development cycles and lower material costs. It also supports security features such as TrustZone secure boot and memory encryption to safeguard device data.

Suitable applications: High-end AI consumer cameras (action cameras, 360° panoramic cameras), multi-lens enterprise security cameras, industrial automation imaging equipment, drone aerial photography, in-vehicle AI vision gateways, Advanced Driver Assistance Systems (ADAS), high-performance video conferencing equipment, and more.

II. The High-End All-Rounder — CV5

The CV5 is the flagship product of Ambarella’s CVflow series. Manufactured using a 5nm process, it specialises in 8K high-resolution video processing and efficient AI vision capabilities, striking a balance between performance and power consumption. It is the core choice for mid-to-high-end smart cameras across multiple scenarios and is widely used in consumer, automotive and robotics sectors.

Key Technical Highlights: Equipped with the CVflow computer vision engine, it supports CNN/DNN deep learning processing to enable precise object detection and classification. It is compatible with various mainstream machine learning frameworks (Caffe, TensorFlow, PyTorch, etc.), facilitating rapid porting of customers’ proprietary neural networks; Outstanding ISP performance, supporting multi-exposure interlaced HDR, low-light enhancement, 3D motion-compensated temporal filtering (MCTF) and other functions, capable of restoring rich detail in high-contrast and low-light scenarios, whilst supporting multiple sensor types such as RGGB and RCCB, offering exceptional adaptability; Video encoding is highly efficient, supporting H.264 and H.265 compression formats. It enables simultaneous recording of 8Kp60 or four 4K video streams. Power consumption is less than 2W when recording 8Kp30 video and less than 5W at 8Kp60, demonstrating outstanding low-power performance.

It features a comprehensive hardware configuration, including a dual-core Arm Cortex-A76 processor and support for high-speed interfaces (PCIe, USB 3.1, Gigabit Ethernet, etc.). It can connect to up to 14 cameras and supports practical functions such as fisheye lens distortion correction and LED flicker suppression. It also incorporates robust security features to meet the safety requirements of automotive and security applications.

Suitable applications: mid-to-high-end action cameras, VR cameras, consumer/industrial drones, multi-channel dashcams, in-vehicle ADAS systems (lane departure warning, forward collision warning), robot vision systems, multi-lens security cameras, etc.

III. The 4K AI Workhorse — CV2

As the flagship product of Ambarella’s CVflow series, the CV2 utilises a 10nm manufacturing process and focuses on 4K-level computer vision processing. With its cost-effectiveness and robust AI performance, it has become the mainstream choice in automotive, security, and drone sectors, filling the market gap for mid-to-high-end 4K smart cameras.

Key Technical Highlights: Equipped with the CVflow computer vision architecture, its DNN processing performance is 20 times that of the first-generation CV1. It supports visual processing at 4K or 8-megapixel resolutions, enabling long-range, high-precision object recognition; new stereo vision processing capabilities allow detection of common objects without training, making it suitable for ADAS and autonomous driving scenarios. It also supports parallel execution of multiple algorithms, enhancing perception accuracy whilst reducing the number of chips required; The ISP supports HDR, low-light processing, and Electronic Image Stabilisation (EIS). Combined with 4Kp60 AVC/HEVC high-efficiency encoding, it delivers stable, high-definition video output and supports multi-stream processing to meet the demands of multi-camera systems.

Excellent power management: the 10nm process delivers extremely low power consumption, whilst comprehensive security features (such as secure boot and TrustZone virtualisation) prevent device intrusion and ensure data security; a complete development toolkit is provided to facilitate rapid neural network porting by customers, thereby shortening product development cycles.

Suitable applications: In-vehicle ADAS systems, autonomous driving vision modules, IP security cameras, drone vision systems, robot vision, multi-lens electronic rear-view mirrors, etc.

IV. The Practical Mid-Range Choice — H32

The H32 is positioned as a practical mid-range smart camera SoC. Built on a 10nm process, its core strengths lie in ‘low power consumption, high image quality and excellent value for money’. It focuses on consumer-grade and entry-level industrial applications, balancing performance and cost, making it the preferred chip for dashcams, wearable cameras and entry-level action cameras.

Key Technical Highlights: Equipped with a next-generation ISP, it supports 6-megapixel video processing at 30 frames per second, offering excellent low-light imaging capabilities and HDR processing to extract rich detail in high-contrast scenes. It also features a hardware distortion correction engine, making it suitable for ultra-wide-angle and fisheye lenses to meet diverse shooting requirements; Video encoding supports H.264 and H.265 formats, with flexible multi-stream processing capabilities. It can simultaneously output video streams optimised for storage and streaming (Wi-Fi/BLE), thereby reducing overall system BOM costs. Equipped with a quad-core Arm Cortex-A53 processor operating at up to 1GHz, it offers ample CPU performance to run lightweight computer vision algorithms (such as SLAM and simple neural networks), meeting basic AI recognition requirements.

It offers a wide range of interfaces, including I2C, SPI, USB 2.0 and HDMI, whilst featuring comprehensive security features (such as memory encryption and secure boot). It is suitable for the design requirements of various consumer-grade and entry-level industrial devices, with excellent power consumption control that balances performance and battery life.

Suitable applications: aftermarket dashcams, wearable cameras, entry-level action/sports cameras, multi-channel in-vehicle data recorders, entry-level IP cameras, etc.

V. Entry-Level Mass-Market Model — H2

The H2 is Ambarella’s entry-level smart camera SoC, launched in 2016. It focuses on basic HD video processing and practical features, covering the entry-level consumer camera market with its high cost-effectiveness and stable performance, providing core support for low-cost smart camera devices.

Key Technical Highlights: Equipped with a quad-core Arm Cortex-A53 processor, it supports imaging up to 8 megapixels. Its video processing capabilities cover multiple specifications including 4Kp60, 2.7Kp60 and 1080p240, enabling smooth high-speed recording and slow-motion playback; It features 10-bit HDR video processing and 3D electronic image stabilisation, effectively reducing motion blur during filming to enhance video quality, whilst also supporting high-ISO DSLR-grade photography to meet basic high-definition imaging requirements; It supports H.264 and H.265 encoding formats, catering to basic video storage and transmission requirements. The interface includes 2 USB 2.0 and 1 USB 3.0 ports, allowing connection to multiple sensors and supporting up to 4 video streams.

Positioned as an entry-level solution, it does not incorporate a dedicated AI accelerator, focusing instead on fundamental video processing capabilities. It offers moderate power consumption and controllable costs, whilst featuring a TrustZone security core to safeguard basic data security, making it suitable for low-cost, lightweight smart camera designs.

Suitable applications: entry-level action cameras, home smart cameras, low-cost dashcams, entry-level wearable cameras, etc. It is one of the core chip options for entry-level consumer smart cameras.