Specifications
SoC
Allwinner V861M2-XXX
Main CPU
Dual-core RISC-V XuanTie C907 (RV64GCBV/RV32GGCBV) up to 1.4 GHz, RVV 1.0
Auxiliary CPU
Single-core RISC-V XuanTie E907 (RV32IMAFC) up to 800 MHz
AI Accelerator
On-chip 1 TOPS NPU
Memory
128 MB DDR3 integrated on-chip
Storage
16 MB SPI NOR flash (PY25Q128) + TF card socket
PMU
AXP333 integrated power management
Video Encoder
H.264 / H.265 up to 4K @ 25 fps; (M)JPEG up to 8192 x 8192
Video Decoder
(M)JPEG up to 1080p60
Camera
MIPI CSI — GC2083 1920x1080@30fps and GC8613 3840x2160@15fps
Audio
Dual microphone connector + speaker connector
Motor Control
PTZ pan-tilt-zoom motor control support
Debug
UART serial debug and ADB over USB
Buttons / LED
FEL burn button, power-on button, status LED
Expansion
Abundant GPIO; SPI display connectors (3.5-inch 320x480, 1.54-inch 240x240)
Operating System
Tina Linux 5.0
Wireless
None (the predecessor Avaota F1 included Wi-Fi)
Form Factor
Ultra-compact open-source hardware camera board
Overview
The Avaota F2 is the first single board computer based on the Allwinner V861 dual-core 64-bit RISC-V SoC. An update to the Avaota F1 (Allwinner V821), it pairs a pair of XuanTie RISC-V cores with an on-chip 1 TOPS AI accelerator, 128 MB of integrated DDR3 and 4K H.265 video encoding — all on a board barely larger than the camera module it drives.
Aimed at AI camera designs, the F2 adds Full HD and 4K camera-sensor support (GC2083 and GC8613), PTZ motor control, and improved audio with one speaker and two microphone connectors. It runs Tina Linux 5.0 with RISC-V Vector 1.0 extensions enabled, and offers MIPI CSI, SPI display, TF-card and abundant GPIO interfaces for embedded vision products.
Key Benefits
RISC-V vision at the edge: the Avaota F2 puts CPU, ISP, video codec and a 1 TOPS NPU on a single tiny, open-source-hardware board. RISC-V Vector 1.0 and Tina Linux 5.0 give developers an open toolchain, while the on-chip DDR3 and NOR flash keep the bill of materials and footprint minimal for camera-centric designs.
Applications
AI IP cameras and PTZ cameras, smart surveillance, machine-vision endpoints, edge video analytics, robotics vision front-ends, and RISC-V embedded development.
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