CORE-1126BJD4 AI Vision System On Module | Firefly SoM

CORE-1126BJD4 RV1126B Vision System On Module

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CORE-1126BJD4

Powered by Rockchip quad-core AI vision processor RV1126B, it integrates 3 TOPS NPU and supports lightweight AI models and deep learning frameworks. It features a built-in 12MP ISP, an 8MP AI-ISP, and incorporates multiple algorithm accelerators. The SoM supports 12MP video encoding, 4K video decoding, and simultaneous input from 4 cameras.

AI Processor RV1126B

Powered by the quad-core 64-bit RV1126B AI vision processor. The ARM Cortex-A53-based core operates at up to 1.6 GHz and includes NEON advanced SIMD and an FPU for enhanced high-performance computing and multitasking capabilities.

Private Deployment

Supports lightweight large language models, large vision models, or multimodal large models under 2B parameters, such as Qwen, Gemma2-2B, Phi2, MiniCPM series, and other small-scale AI large models, meeting localized application needs in lightweight scenarios.

Built-in 12-Megapixel ISP

Equipped with a new-generation hardware-based ISP supporting up to 12MP, complete with accelerators for HDR, 3A, LSC, noise reduction, and other key algorithms. Building upon this foundation, an AI-ISP (up to 8MP), enabling superior spatial noise reduction and enhanced image processing capabilities.

4K Video Decoding

It handles video encoding at up to 12MP@30fps. Its multi-stream encoding capability allows for simultaneous high-resolution recording locally and low-resolution transmission to the cloud. It supports 4K@30fps decoding and includes an integrated JPEG codec with Baseline mode support for a variety of image sizes and YUV formats.

Input From 4 cameras

It offers support for two MIPI CSI / LVDS / SubLVDS D-PHY interfaces and one DVP (BT.601 / BT.656 / BT.1120) interface, allowing for simultaneous input from up to four cameras.

Gold-Finger Package

Featuring a gold-plated SODIMM 260-pin standard interface and a compact design, it has overall dimensions of 69.9 × 33.96 mm and weighs a mere 10g. Its small, lightweight form factor makes it easy to install and carry, enabling compatibility with a wide range of devices and application scenarios.

Network Capabilities

GMAC interface enables the expansion of a Gigabit Ethernet port with TSO and USO offloading for accelerated network performance. The SDIO 3.0 interface allows for the addition of dual-band Wi-Fi (2.4GHz/5GHz), Bluetooth, as well as 4G/3G modem support.

Rich Expansion Interfaces

Boasts a wide array of I/O options, including I2C, SPI, UART, CAN, PWM, GPIO, USB 2.0, I2S, SAI, MIPI-DSI, MIPI-CSI, and DVP,，， to diverse peripheral expansion needs across different scenarios.

3 TOPS NPU Computing Power

Integrated with a 3 TOPS NPU supporting INT4/INT8/INT16/FP16 hybrid quantization, it maintains compatibility with mainstream deep learning frameworks including TensorFlow, TensorFlow Lite, PyTorch, Caffe, and ONNX. This enables intelligent data processing, voice recognition, and image analysis capabilities, meeting the demands of most edge AI applications in terminal devices.

Application Scenarios

It is widely applicable in various industry sectors such as facial recognition, access control gates, intelligent security systems, smart network cameras, smart peepholes/doorbells, and dash cams.

Facial Recognition

Access Control Gates

Intelligent Security

Smart Network Cameras

Smart Peepholes/Doorbells

Dash Cams

Interfaces

Specifications

CORE-1126BJD4
Basic Specifications	SOC	Rockchip RV1126B
	CPU	Quad-core 64-bit ARM Cortex-A53, integrated with NEON and FPU
	ISP	12MP ISP, 8MP AI-ISP, integrated with multiple algorithm accelerators including HDR, 3A, LSC, 3DNR, 2DNR, sharpening, defogging, fisheye correction, gamma correction, feature point detection, etc.
	NPU	3TOPS NPU, supporting INT4/INT8/INT16/FP16 mixed-precision computing
	Video decoding	4K@30fps H.265/H.264
	RAM	LPDDR4 (1GB/2GB/4GB Optional)
	Storage	eMMC (8GB/16GB/32GB Optional)
	OS	Debian12, Buildroot+QT, Ubuntu
	Software support	Supports private deployment of lightweight large language models and multimodal large models with up to 2B parameters under the Transformer architecture, such as small-sized large AI models including the Qwen series, Gemma2-2B, Phi2, InternLM2, MiniCPM series, TinyLLAMA, and RWKV7. Supports deep learning frameworks such as TensorFlow, TensorFlow Lite, PyTorch, Caffe, and ONNX.
	Power	5V (voltage tolerance ±5%)
	Power consumption	Normal: 1.15W(5V/230mA), Max: 3.5W(5V/700mA), Min(Sleep): 0.7W(5V/140mA)
	Interface type	Gold finger (SODIMM 260P standard connector, 0.5mm pitch)
	Dimension	69.9mm × 33.96mm
	Weight	≈10g
	Environment	Operating Temperature: -20℃ ~ 60℃, Storage Humidity: 10%～90%RH (non-condensing)
Interface Specifications	Internet	One Gigabit Ethernet port can be expanded via the GMAC interface, with support for network acceleration features including TSO (TCP Segmentation Offload) and USO (UDP Segmentation Offload) Dual-band 2.4GHz/5GHz WiFi and Bluetooth can be expanded via the SDIO3.0 interface, and the interface also supports 4G/3G network expansion
	Video input	2 × MIPI-CSI/LVDS/sub LVDS DPHY (1×4lanes or 2×2lanes) 1 × DVP (BT.601/BT.656/BT.1120) Support 4 cameras input at the same time: 2 × MIPI CSI/LVDS/sub LVDS + 1 × DVP
	Video output	1 × MIPI-DSI (1080P@60Hz, 1×4lanes) Supports BT.656/BT.1120 interfaces Supports MCU/RGB LCD interfaces, with a maximum of 24 bits
	Audio output	1 × SAI (4T/4R), 1 × SAI (1T/1R), 1 × SAI (1T/3R), supporting I2S/TDM/PCM audio protocols PDM and Audio Codec support a sampling rate of up to 192KHz
	USB	1 × USB2.0 HOST, 1 × USB3.0 DRD
	Other interfaces	2 × SPI, 8 × UART, 6 × I2C, 2 × CAN, 28 × PWM, GPIOs