V851s Allwinner AI Vision Processor Cortex-A7+RISC-V+NPU Triple-Core Heterogeneous with 64MB DDR QFN-88

Product Type:
AI Vision Processor SoC
Brand:
Allwinner
Package Type:
QFN-88
CPU Core:
ARM Cortex-A7 @ 900MHz
Co-Processor:
64-bit RISC-V (XuanTie E907) @ 600MHz
Embedded Memory:
64MB DDR2 (SiP Package)
Video Encoding:
H.265/H.264, up to 4K@20fps, 5M@25fps
Video Input:
2-lane MIPI CSI + 10-bit Parallel CSI
Operating Temperature:
-40°C to +85°C (Industrial Grade)
Target Applications:
AI IP Camera, Smart doorbell, Edge computing, Machine vision

V851s Product Overview

The V851s is a high-performance, low-power processor SoC from Allwinner Technology designed for the AI vision and IP camera market, available in QFN-88 package. The chip features an innovative triple-core heterogeneous architecture, integrating a single-core ARM Cortex-A7 main core (900MHz), a 64-bit XuanTie E907 RISC-V real-time core (600MHz), and a 0.5 TOPS NPU neural processing unit. The chip integrates 64MB DDR2 memory via SiP (System-in-Package). The V851s is specifically designed for 5M network cameras, smart doorbells, AI cameras, and other machine vision applications. It features a next-generation high-performance ISP image processor, professional-grade H.265/H.264 video encoder, and rich peripheral interfaces, making it suitable for various AI vision products.


V851s Core Features

Triple-Core Heterogeneous AI Architecture (ARM+RISC-V+NPU): The V851s integrates a single-core ARM Cortex-A7 main core (900MHz) responsible for running the Linux system and human-machine interface; a 64-bit XuanTie E907 RISC-V real-time core (600MHz) that runs FreeRTOS bare-metal programs for sensor data acquisition and real-time control, achieving millisecond-level fast cold boot; and a 0.5 TOPS NPU (INT8) supporting TensorFlow, Caffe, Tflite, Pytorch, Onnx NN, and other deep learning frameworks for efficiently running AI algorithms such as human detection, face recognition, and intrusion alarms. The three cores work together heterogeneously, enabling a single chip to accomplish tasks that previously required multiple chips

Integrated 64MB DDR2 Memory: Chip integrates 64MB DDR2 memory via SiP, eliminating the need for external DDR chips, significantly simplifying PCB design (down to 2-layer boards), reducing BOM cost and design complexity, and saving PCB footprint

QFN-88 Package Design: QFN-88 package requires no precision placement or X-ray inspection compared to BGA packages. Standard SMT processes work, providing high production yield and easy rework, significantly lowering manufacturing barriers and costs

Next-Generation High-Performance ISP: Integrated independent ISP image signal processor supporting up to 2560×1440 resolution (online mode). Supports 2D/3D noise reduction, WDR (Wide Dynamic Range), defective pixel correction, white balance, auto exposure, and other advanced image processing functions for excellent image quality. Maximum frame rate reaches 4M@30fps

Professional-Grade Video Encoding Engine: Supports H.265/H.264 hardware encoding. H.265/H.264 encoder supports 3840×2160@20fps, also supporting MJPEG/JPEG baseline encoding and H.264/JPEG decoding. Multi-stream real-time encoding capability: 5M@25fps + 720p@25fps

Flexible Camera Interfaces: Supports 2-lane MIPI CSI camera input with up to 1.2 Gbps per lane; also supports 10-bit parallel CSI interface compliant with BT.601 and BT.656 standards. Maximum video capture resolution is 4M@30fps, compatible with various camera modules

Video Display Output: Supports 2-lane MIPI DSI display interface with up to 1280×720@60fps resolution (V851S version). V851SE is a cost-reduced version without display output, suitable for pure camera applications

Rich Communication Interfaces: Provides 5 TWI/I2C interfaces, 4 UART interfaces, 4 SPI interfaces (V851S), 1 10/100M Ethernet MAC (RMII interface), 1 USB 2.0 OTG/DRD, SDIO 3.0, and eMMC 4.5 interfaces for various peripheral connection needs

Comprehensive Audio Subsystem: Integrated Audio Codec supporting stereo differential microphone input and line output. Also supports I2S and DMIC digital microphone interfaces for voice interaction and audio monitoring applications


V851s Applications

AI Network Cameras (IPC): 5M HD AI network cameras, smart PTZ cameras, home security cameras, and other surveillance products. The 0.5 TOPS NPU enables AI functions such as human detection, face recognition, intrusion alarms, and sound recognition

Smart Video Doorbells: Battery-powered video doorbells, peephole cameras. The RISC-V core enables millisecond-level fast cold boot, ARM core handles video and networking, NPU runs face recognition algorithms, low-power design extends battery life

AI Edge Computing Devices: Edge computing gateways, AI boxes, and other edge devices requiring local AI inference. Integrated 64MB DDR and 0.5 TOPS NPU enable lightweight AI model inference without external memory

Smart Transportation and Vehicle Vision: Driver monitoring systems (DMS), surround view cameras, dash cameras. Wide temperature tolerance and AI capabilities meet automotive environment requirements

Smart Home Vision Products: Robot vacuum vision navigation, smart refrigerator cameras, pet feeders, smart locks, and other home AI vision products

Consumer Electronics and Open Source Hardware: AI development boards, learning kits, DIY smart camera projects. Open source projects like "Cyber Wand" and "YuzuPI-Lizard" are based on V851s

Industrial Vision Inspection: Industrial cameras, OCR recognition equipment, defect detection systems, and other industrial automation vision applications


V851s Key Advantages

Triple-Core Heterogeneous AI Architecture for Edge Intelligence Breakthrough: The V851s is one of the few triple-core heterogeneous processors featuring ARM+RISC-V+NPU. The ARM Cortex-A7 core runs Linux for video streaming and networking, the RISC-V core runs FreeRTOS for millisecond fast boot and real-time sensor sampling, and the NPU handles AI inference. With clear core division and heterogeneous collaboration, a single chip replaces the traditional three-chip solution (MPU+MCU+AI accelerator), greatly reducing system complexity, cost, and power consumption

Integrated 64MB DDR Greatly Lowers Design Barriers: The chip integrates 64MB DDR2 memory via SiP, completely eliminating the need for external DDR chip procurement, routing, length matching, and EMI handling. PCB design is simplified down to 2-layer boards, enabling hardware engineers to get started easily and significantly shortening development cycles. Ideal for cost-sensitive and space-constrained products

QFN Package Lowers Manufacturing and Rework Costs: QFN-88 package has exposed pins, requiring no BGA soldering process or X-ray inspection. Standard reflow soldering works, and hand soldering for rework is feasible. Provides significant advantages for small-to-medium volume production and products requiring low-cost rework

Next-Generation ISP Delivers Professional Image Quality: The V851s integrates a high-performance ISP with support for 2D/3D noise reduction, WDR (Wide Dynamic Range), defective pixel correction, auto white balance (AWB), and auto exposure (AE). Delivers clear, natural images even in complex lighting or low-light environments

Industry-Leading Video Encoding Efficiency: Supports 4K H.265/H.264 hardware encoding (3840×2160@20fps), a significant performance boost over the previous generation V3s. H.265 encoding reduces bitrate and storage space by up to 50% at the same image quality, ideal for network transmission and local storage applications

Millisecond-Level Fast Cold Boot Capability: The RISC-V core operates independently from the ARM core, enabling millisecond-level fast cold boot. This feature is critical for battery-powered products like video doorbells and low-power IPCs

Complete Software Ecosystem with Mainstream Framework Support: Allwinner provides Tina Linux (customized OpenWrt) BSP and SDK, supporting TensorFlow, Caffe, Tflite, Onnx, and other AI frameworks. NPU drivers and AI toolchains are mature, lowering algorithm porting barriers. RISC-V core supports RT-Thread and FreeRTOS

Flexible Video Input and Output Combinations: The V851S version supports both MIPI DSI display output and MIPI CSI camera input, offering an integrated solution for products with displays. The V851SE version removes display interfaces and integrates network PHY, suitable for pure camera applications

Low Power Design for Battery Applications: Advanced 22nm process combined with triple-core coprocessor verification achieves extremely low operating and standby power consumption

Proven Mass Production Solutions with Open Source Community Support: V851s has been widely deployed in mass production across AI cameras, smart doorbells, and open-source hardware


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FAQ:

  1. What is the Allwinner V851s and its key specifications?
    The V851s is a highly integrated AI vision processor from Allwinner, featuring a unique triple‑core heterogeneous architecture: one ARM Cortex‑A7 (up to 1.2 GHz) for application processing, one RISC‑V core for real‑time or low‑power tasks, and a dedicated NPU (Neural Processing Unit) for AI inference. It integrates 64 MB of on‑package DDR2 memory, a 1080p video engine (H.264/H.265 encoder and decoder), an ISP (Image Signal Processor) supporting up to 5 M pixels, and a rich set of connectivity interfaces. The chip is housed in a compact QFN‑88 package, making it an all‑in‑one solution for intelligent camera and edge‑AI applications.

  2. What are the three cores inside the V851s, and what are their roles?
    The V851s contains three heterogeneous cores: 1) a 1.2 GHz ARM Cortex‑A7 running Linux or RTOS, handling application logic, networking, and storage. 2) a RISC‑V core (typically clocked at 200–300 MHz) for low‑power sensor fusion, real‑time control, or always‑on voice/wake‑up functions. 3) a dedicated NPU capable of up to 0.5 TOPS (INT8) for accelerating deep‑learning inference (object detection, face recognition, etc.). This triple‑core design optimises power and performance for intelligent vision devices.

  3. How powerful is the built‑in NPU, and what AI frameworks does it support?
    The integrated NPU delivers up to 0.5 TOPS (INT8), which is sufficient for real‑time object detection, facial recognition, human pose estimation, and classification tasks at 1080p resolutions. It supports mainstream AI frameworks converted to the Allwinner NPU runtime, including TensorFlow, TensorFlow Lite, Caffe, and ONNX. The toolchain allows developers to quantize and deploy models efficiently, offloading AI workloads from the Cortex‑A7 and RISC‑V cores to save power and improve performance.

  4. What video and camera capabilities does the V851s support?
    The V851s features a hardware video encoder and decoder supporting H.264/H.265 up to 1080p@60fps. It includes a parallel CSI‑2 and DVP camera interface, and a built‑in ISP (Image Signal Processor) capable of handling sensors up to 5 megapixels. The ISP provides automatic exposure, white balance, and noise reduction. This makes the chip ideal for smart cameras, AI‑based video analytics, and visual doorbells, all without needing an external ISP or codec.

  5. How much memory does the V851s have, and is it expandable?
    The V851s integrates 64 MB of on‑package DDR2 memory, which is shared between the Cortex‑A7, RISC‑V, and media subsystems. This built‑in memory reduces PCB complexity, EMI, and BOM cost. For most AI‑vision applications running lightweight Linux or RTOS, 64 MB is sufficient. However, the chip may also support external SPI NOR/NAND Flash for boot and storage, but typically additional external DRAM is not required or supported — the on‑package memory is the primary system RAM.

  6. What operating systems can run on the V851s?
    The Cortex‑A7 core can run Linux (usually a lightweight distribution built with Buildroot or Yocto) or a real‑time operating system (RTOS). The RISC‑V core can run its own bare‑metal application or an RTOS, enabling decoupled low‑power tasks. Allwinner provides a Linux SDK with drivers for the ISP, NPU, video codec, and all peripherals. This SDK is typically used as the foundation for building smart camera firmware.

  7. What connectivity and I/O interfaces does the V851s offer?
    The V851s includes a range of interfaces: 10/100 Mbps Ethernet MAC (RMII), USB 2.0 OTG, SDIO 2.0 (for WiFi), SPI, I2C, UART, I2S for audio, PWM, and GPIOs. It supports MIPI‑CSI and DVP camera inputs, and can drive a display through RGB888/LVDS or MIPI‑DSI output. This rich set enables connectivity for WiFi/BT modules, external sensors, audio codecs, and displays in a single chip.

  8. How does the V851s compare to other Allwinner AI vision chips like the V833 or V831?
    The V851s is a more cost‑optimized and compact evolution. Compared to the V831 (which also has a Cortex‑A7 and NPU), the V851s adds a dedicated RISC‑V core for low‑power handling and integrates on‑package DDR2, reducing external component count. Compared to the V833 (a higher‑end chip with a more powerful NPU and dual Cortex‑A7), the V851s is positioned as a lower‑power, lower‑cost solution for mainstream smart cameras and AIoT devices.

  9. What is the QFN‑88 package, and what are the advantages for design?
    The V851s comes in a QFN‑88 package, which is a leadless quad‑flat no‑leads package with 88 pins and a typical body size of 9 mm × 9 mm. This package is ideal for space‑constrained designs: it has a smaller footprint than QFP, provides good thermal performance via a bottom exposed pad, and is easier for PCB layout than BGA. The integrated memory further simplifies routing, making the V851s a very designer‑friendly chip for compact camera modules.

  10. What are the most typical applications for the V851s AI vision processor?
    It is widely used in smart IP cameras, AI‑based video doorbells, smart home vision sensors, industrial barcode/inspection cameras, dashcams with AI, face‑recognition terminals, and retail analytics cameras. The combination of an ISP, video codec, NPU, and integrated memory in a single QFN chip makes it a complete solution for turning raw image data into actionable AI insights with minimal board area and BOM cost.