---
title: "QRB2210"
url: "https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210"
description: "The Qualcomm QRB2210 integrates high-level features, AI solutions, and powerful performance in a unified, cost-effective solution giving OEMs, ODMs, and developers the flexibility to design and create a generation of high-performance everyday robotics and IoT products."
---

# QRB2210

Qualcomm® Dragonwing™

[Buy now](https://www.digikey.com/en/products/detail/qualcomm/QRB-2210-0-NSP752-TR-00-0/27904331)

On this page

- [Introduction](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#overview)
- [Benefits](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#benefits)
- [Block Diagram](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#blockdiagram)
- [Features/Specs](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#featuresspecs)
- [Companion Chip](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#companion)
- [Use Cases](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#usecases)
- [Development Hardware](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#developmenthardware)
- [Helpful Links](https://www.qualcomm.com/internet-of-things/products/q2-series/qrb2210/#helpfullinks)

The Qualcomm® Dragonwing™ QRB2210 is a cost-effective, low-power processor designed for robotics and IoT applications.

It integrates a quad-core Cortex-A53 CPU, Qualcomm® Adreno™ 702 GPU supporting 2D/3D graphics, dual image signal processors, an independent DSP, and robust connectivity options including Wi-Fi, Bluetooth® wireless technology, and GNSS. QRB2210 runs on Upstream Linux with Yocto support and Debian OS.

[Arduino Uno Q](https://www.arduino.cc/product-uno-q) enables development and evaluation of QRB2210.  The platform offers support for Debian OS, a lightweight and resource efficient OS that uses the XForms Common Environment (XFCE) desktop and Linux kernel v61...

Read More

Product license agreement

**Featured Documents**

- [QRB2210 Data Sheet](https://docs.qualcomm.com/bundle/publicresource/topics/80-30843-1)
- [Qualcomm Dragonwing QRB2210 Processor Product Brief](https://docs.qualcomm.com/doc/87-61720-1/87-61720-1_REV_D_Qualcomm_Dragonwing_QRB2210_Processor_Product_Brief.pdf)

## Benefits

### Compact Power Efficient Design

Compact, power-efficient processor– Optimized for thermally constrained, battery-powered, and space-limited devices. Designed to support robots and IoT devices with challenging power and thermal dissipation requirements.

### Heterogeneous Computing

Powered by a quad-core Arm® Cortex®-A53 CPU clocked up to 2.0 GHz, the Adreno 702 GPU running at 845 MHz and dual core DSP processor the QRB2210 enables efficient graphics and compute workloads, including 2D/3D rendering, AI inference, and multimedia processing

### Best-in-class Camera Capabilities

The Dragonwing QRB2210 processor delivers exceptional image quality and resolution through its dual ISPs, enabling support for two concurrent cameras—either dual 13 MP or a single 25 MP sensor—at 30 frames per second with Zero Shutter Lag (ZSL). Engineered for low-light performance and clarity, the QRB2210 features multi-frame noise reduction, electronic image stabilization, and forward-looking bad pixel correction.

### Developer friendly

[Arduino Uno Q](https://www.qualcomm.com/developer/hardware/arduino-uno-q?appId=aemshell) facilitates development and evaluation of QRB2210 processor. The platform offers support for Yocto Linux and Debian Trixie 13, a lightweight and resource efficient OS that uses the XForms Common Environment (XFCE) desktop and Linux kernel v6.16 for stability and broad hardware support.

[Learn more about Arduino Uno Q](https://www.arduino.cc/product-uno-q)

### Qualcomm Dragonwing QRB2210 Block Diagram

IMAGE_URL(https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/images/pdp/block_diagram/image/QRB2210-diagram.svg)

## Features

- Compact, Power-efficient Design – Optimized for thermally constrained, battery-powered, and space-limited devices.
- Quad-core ARM Cortex-A53 CPU (up to 2.0 GHz) – Efficient processing for lightweight AI, control, and compute tasks.
- Adreno 702 GPU  – Supports OpenGL ES 3.1, OpenCL 2.0, and Vulkan 1.1 for graphics and vision acceleration.
- Dual 13 MP Image Signal Processors (ISPs) – Supports up to two cameras with real-time image processing.
- Inferencing - AI models can run on the GPU and CPU
- Always-on Qualcomm® Hexagon™ DSP – Enables low-power sensor fusion and voice/audio handling.
- Display Support – MIPI-DSI output for up to 1080p @ 60 fps displays, ideal for embedded UI and visualization.
- Optional Integrated Connectivity ( with attach devices) – Wi-Fi 5 (802.11ac), Bluetooth 5.0, GNSS (GPS, GLONASS, BeiDou, Galileo), USB 3.1, eMMC 5.1, SD 3.0.

### Specifications

| Specification | Details |
| --- | --- |
| CPU | 4-core Qualcomm® Kryo™ @ Up to 2.0 GHz |
| GPU | Qualcomm® Adreno™ 702 @ 845 MHz |
| Memory | 2x16-bitLPDDR4x @ 1804¹ MHz; Up to 4 GB |
| DSP | Qualcomm® Hexagon™ |
| Audio | 1x SLIMbus, 4x Digital Microphone In, 4x Inter-Integrated Circuit Sound (I²S) |

1. SDRAM designed for 1804 MHz clock (2 × 16 bit); 1x32-bit LPDDR3 @ 933 MHz
2. 30 fps, ZSL
3. Up to 2.5 Gbps
4. Up to 10 Gbps
5. Support UART, I2C, I3C, SPI
6. Dedicated for Camera

Show more

## Companion Chip

### PMIC

PM4125, PM8008

### Wi-Fi/BT

WCN3980 (Wi-Fi 5, BT 5, FM), WCN3950 (Wi-Fi 5, BT 5, FM), WCN3910 (Wi-Fi 4, BT 5,FM)

### GNSS

WGR7640

## Use Cases

IMAGE_URL(https://s7d1.scene7.com/is/image/dmqualcommprod/Icon-2-2?$QC_Responsive$&fmt=png-alpha)

### Edge AI & Vision Applications

- DIY Smart Cameras - Detect and track people or objects in real time for home or workspace monitoring.
- Interactive Displays - Respond to users with gesture or pose recognition for kiosks, exhibits, or signage.
- Augmented Reality Effects - Enable background segmentation and real-time visual effects using dual camera input.
- Visual Inspection - Detect surface defects or misalignments using on-device image analysis.
- Smart Kiosks - Combine camera input, UI, and edge logic for interactive public interfaces.

### Robotics & Intelligent Control

- Autonomous Bots - Navigate indoor spaces, avoid obstacles, and plan routes with onboard vision.
- Gesture-Based Robotics -  Control robots using hand and body movements for interactive experiences.
- Vision-Guided Arms - Adjust robotic arm movements based on object detection and camera feedback.Facial Recognition Access - Identify visitors and trigger actions instantly at the edge.

IMAGE_URL(https://s7d1.scene7.com/is/image/dmqualcommprod/home-dw?$QC_Responsive$&fmt=png-alpha)

### Smart Home & Building Automation

- Facial Recognition Access - Identify visitors and trigger actions instantly at the edge.
- Voice & Gesture Interfaces - Enable natural, hands-free control for lighting, blinds, and more.
- Smart Home Hubs - Collect and process sensor data locally for faster automation.

### Arduino® UNO Q by Arduino

UNO Q is an affordable, expandable developer kit designed to accelerate innovation. Fully compatible with the Arduino ecosystem, it supports effortless hardware expansion. UNO Q offers a solid foundation and flexibility for IoT and edge AI prototyping.

[Learn more](https://www.arduino.cc/product-uno-q?)

IMAGE_URL(https://s7d1.scene7.com/is/image/dmqualcommprod/Arduino-UNO-Q?$QC_Responsive$&fmt=png-alpha)

### Helpful Links

#### Contact Sales

Qualcomm has an extensive technology portfolio designed to enable products across industries. Our sales team is ready to provide you with tailored assistance.

[Contact sales](https://www.qualcomm.com/support/contact/forms/iot-contact-sales)

#### Stay ahead of the curve

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