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CAM-3576Q38 Mini AI SBC

6 TOPS Computing Power

· Features Rockchip AI processor RK3576

· Private deployment of AI models

· 8K high-frame-rate video decoding

· Delivers ISP image processing capabilities

· Compact 38 × 38 mm mini size

· Rich expansion interfaces

· Compatible with multiple operating systems

· Provides development materials

Manual Wiki Download

RTLinux

Android

LinuxOS

Buildroot

CAM-3576Q38
CAM-3576Q38 Mini AI SBC

Featuring the Rockchip octa-core 64-bit AIoT processor RK3576, it integrates a 6 TOPS computing NPU and supports the private deployment of mainstream large AI models as well as various deep learning frameworks. It also supports 4K@120fps decoding, 4K@60fps encoding, and delivers 4K@120fps high-definition, high-frame-rate display capabilities.

AI Processor RK3576

Features the octa-core 64-bit high-performance AIoT processor RK3576, utilizing a big.LITTLE architecture with a main frequency of up to 2.2GHz. Equipped with the Mali-G52 MC3 GPU, its 145 GFLOPS performance enables efficient heterogeneous computing, providing robust support for high-performance computing and multitasking.

Private Deployment

Supports private deployment of ultra-large-scale parameter models based on the Transformer architecture, such as the Gemma series, ChatGLM series, Qwen series, Phi series, and other large language models.

8K Video Decoding

Supports 8K@30fps / 4K@120fps (VP9, AVS2, AV1) and 4K@60fps video decoding (H.264/AVC), as well as 4K@60fps video encoding (H.264/AVC).

Image Processing

Built-in 16-megapixel ISP with support for low-light noise reduction, RGB-IR sensors, and up to 120dB HDR. AI-ISP enhances image quality in low-noise conditions. Supports MIPI-CSI input.

38 × 38mm mini size

CAM-3576Q38 measures a mere 38 × 38 × 11.5 mm. With its ultra-compact design, it can be seamlessly integrated into smart cameras, surveillance systems, and other space-constrained devices, freeing up valuable internal space for core components while significantly improving overall integration and space utilization.

Operating Systems

Supports an RTLinux kernel with excellent real-time performance, making it widely suitable for industrial applications. It is compatible with Android 14, Linux OS, and Buildroot, providing a secure and stable system environment for product development and manufacturing.

Rich Expansion Interfaces

Equipped with a variety of expansion interfaces including Fast Ethernet, MIPI-CSI, USB 2.0, Type-C, RS485, ADC, I2C, UART, and MIC, meeting peripheral expansion requirements across diverse application scenarios.

Development Materials

Includes complete source code, tutorials, technical documentation, and development tools, enabling users to efficiently perform secondary development and quickly create independently controllable products.
6 TOPS NPU Computing Power

Built-in powerful NPU with computing power of up to 6 TOPS, supporting INT4/INT8/INT16/FP16/BF16/TF32 mixed operations. Dual-core collaboration or independent operation, and parallel multi-tasking across diverse scenarios.Capable of intelligent data processing, voice recognition, and image analysis, meeting the edge computing AI application needs of most terminal devices.

Interfaces
Specifications

CAM-3576Q38

CAM-3576JQ38

CAM-3576MQ38

Basic Specifications

SOC

Rockchip RK3576

Rockchip RK3576J

Rockchip RK3576M

CPU

Octa-core 64-bit processor (4×A72 + 4×A53) with a maximum frequency of 2.2GHz

Octa-core 64-bit processor (4×A72 + 4×A53) with a maximum frequency of 1.6GHz

GPU

G52 MC3@1GHz, support OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, embedded with high-performance 2D acceleration hardware

NPU

6 TOPS NPU, It supports INT4/INT8/INT16/FP16/BF16/TF32 operations, supports dual-core collaborative or independent work, and supports multi-task and multi-scene parallelism

ISP

Built-in 16 million pixel ISP, support low-light noise reduction, support RGB-IR sensor, support up to 120dB HDR, AI-ISP to improve low-noise image effect

Decoding/ Encoding

Decoding: 8K@30fps/4K@120fps (VP9, AVS2, AV1), 4K@60fps (H.264/AVC) Encoding: 4K@60fps (H.264/AVC) Image codec: 4K@60fps MJPG

RAM

LPDDR4/LPDDR4x (4GB/8GB/16GB optional)

Storage

eMMC (16GB/32GB/64GB/128GB/256GB optional)

Storage expansion

1 × TF Card

Power

DC 12V (Connected via 8P-1.25mm Wafer connector)

OS

It supports RTLinux kernel and has excellent real-time performance, which is widely used in industrial application scenarios Support Android14, Linux OS, Buildroot, provide a safe and stable system environment for product research and production It has new industrial features such as real-time network, Flexbus, hardware resource isolation, and DSMC to meet the needs of different industrial applications

AI performance

Support the privatization deployment of ultra-large-scale parametric models under the Transformer architecture, such as Gemma series, ChatGLM series, Qwen series, Phi series and other large language models It supports traditional network architectures such as CNN, RNN, and LSTM, and supports the import and export of RKNN models; Support a variety of deep learning frameworks, including TensorFlow, TensorFlow Lite, PyTorch, Caffe, ONNX and Darknet. It also supports the development of custom operators Support Docker container management technology It supports the real-time object detection algorithm YOLO (You Only Look Once), which is fast and real-time compared with traditional object detection methods, and can accurately identify and locate multiple target objects in images or videos, powering AI applications

Size

38.09mm × 38.11mm × 11.54mm

Weight

≈21g

Environment

Operating Temperature: -20℃- 60℃ Storage Humidity: 10%～90%RH (non-condensing)

Operating temperature: -40℃～85℃ Operating humidity: 10%～90%RH (non-condensing)

Interface Specifications

Internet

1 × 100M Ethernet (Led out via 8P-1.25mm Wafer connector)

Video input

1 × MIPI-CSI DPHY (Supports MIPI V1.2 version; 1×4Lanes or 2×2Lanes, 40Pin-0.5mm)

Audio

1 × MIC (2Pin-1.25mm), 1 × Speaker (4Pin-1.25mm, 2×10W/6Ω or 2×10W/8Ω)

USB

1 × USB2.0 (Led out via 24Pin-0.5mm FPC connector), 1 × Type-C (Device)

Button

1 × Reset, 1 × MaskRom

Antenna

1 × WiFi antenna

Other interfaces

1 × Expansion Interface (24Pin-0.5mm FPC connector, led out: 5V, 1×USB2.0, 1×ADC, 1×I2C, 1×UART, 10×GPIO), 1 × RS485 (Led out via 8P-1.25mm Wafer connector), 1 × RTC Battery Holder (4Pin-1.25mm), 1 × Debug (3Pin-1.25mm), 1 × Recovery (2Pin-1.25mm)
Customization

Firefly team, with over 20 years of experience in product design, research and development, and production, provides you with services such as hardware, software, complete machine customization, and OEM server.

Hardware Solution

Software Solution

Turnkey Solution