reComputer AI R2130 R2140 Raspberry Pi 5 High-Performance Edge AI Computer

Description

reComputer AI R2130 R2140 Raspberry Pi High-Performance Edge AI Computer, Based on Raspberry Pi 5, Hailo-8 AI Acceleration Module

  • Powerful Cooling Capabilities: The compact design and optimised thermal architecture make it highly suitable for deployment in resource-constrained environments, providing excellent cooling performance.
  • Powerful Performance: Powered by Raspberry Pi 5 with quad-core Cortex-A76 CPU, up to 8GB RAM.
  • 26 Tera-Operations Per Second: Powered by Hailo AI Accelerator Offering Integrated Computing Power of Up to 26 Tops.
  • Extensive Interfaces: 2x HDMI 4Kp60,1x Ethernet Port, 2x USB 3.0, 2x USB 2.0.
  • Wireless Connectivity: Dual-band Wi-Fi and Bluetooth 5.0/BLE.
  • Dual M.2 Slot with PCIe3.0 Speed: Utilising the ASMedia ASM2806 PCIe 3.0 switch chip, ensures optimal performance, overcoming PCIe 2.0 limitations.

The reComputer AI R series features an industrial version with reComputer R2135 Edge AI Computer | Raspberry Pi CM5 + Hailo-8, both equipped with a 26 TOPS Hailo-8 acceleration module, and a ready-to-use model zoo and tool chain.

  • Powerful Performance with Raspberry Pi 5 Module: 4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU. Features up to 16GB RAM.
  • AI Vision Processing: With the Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
  • Powerful Cooling Capabilities: Its compact design and efficient thermal architecture ensure optimal cooling, making it perfect for deployment in resource-limited environments.
  • Extensive Connectivity: 2 x HDMI 4Kp60, 1 x Ethernet Port, 2 x USB 3.0, 2 x USB 2.0. Dual M.2 Slots with PCIe 3.0 speed for enhanced performance.
  • Wireless Connectivity: Dual-band Wi-Fi and Bluetooth 5.0/BLE.


    GitHub - Seeed-Projects/Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero: This repository provides a comprehensive step-by-step guide to building AI projects using the Raspberry Pi AI Kit.

    This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a focus on using an AI kit to perform computer vision tasks. You'll learn how to integrate AI into real-world IoT applications, from object detection and image classification to more complex visual recognition tasks.

    We will guide you step-by-step through setting up your Raspberry Pi, using AI frameworks, and deploying these models in various practical scenarios.


Specification

Basic Information

CPU & GPU

Raspberry Pi 5, 2.4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU

AI Processor

Hailo-8 M.2 Acceleration Module, 26 Tera-Operations Per Second

Memory

8GB RAM

Operating System

Raspbberry Pi OS, Ubuntu

 

Interfaces

 

Ethernet & USB

1x 10/100/1000 Mbps Ethernet;

2x USB 3.0(USB-A), 2x USB 2.0(USB-A)

Camera/Display

2 x micro HDMl ports(4Kp60); 2 × 4-lane MIPI camera/display transceivers

Storage

1 x microSD card slot(with support for high-speed SDR104 mode); 2 x M.2 slot(supports PCIe 3.0 M.2 NVMe SSD/Hailo M.2 Acceleration Module)

Power Button

On/Off included

Wireless Communication

Dual-band 802.11ac Wi-Fi®; Bluetooth 5.0/ BLE

Video Decoder

4Kp60 HEVC decoder

 

Device Specification

 

Ingress Protection

IP40

Operating Temperature

0~45 °C

Heat Dissipation

Heatsink with Fan

Power Supply

5V/5A DC power via USB-C, Power Delivery supported

Reliability

Hardware Watchdog, High Accuracy RTC

Warranty & Lifetime

1-year warranty, Production Lifetime until January 2036

Certification

CE, FCC, Telec, RoHS, REACH

Physical Specifications

95mm * 63mm * 45mm (W x H x D)


Hardware Overview



Application

With advanced features like object detection, object recognition, object tracking, OCR, and abnormal event detection with real-time alert triggers, this AI box is designed to deliver exceptional performance in resource-constrained environments.

  • Surveillance & Security

Integrated into NVR systems for real-time video analytics, including object detection (e.g., intruders, abandoned items) and anomaly detection, enhancing situational awareness and security efficiency.

  • Smart Retail

Create innovative Smart Retail solutions using AI-driven features like real-time visual product recognition, personalised shopping experiences, and advanced customer behaviour analytics for optimised store operations.

  • Smart Transportation

Processes traffic and parking data from cameras/sensors at the edge, enabling intelligent traffic flow analysis and smart parking guidance to reduce congestion.

  • Digital Signage & Audience Engagement

Links to cameras and content servers for dynamic content adaptation based on facial recognition and audience demographics, improving engagement in public spaces or retail environments.

  • Smart Building

Integrates sensors and IoT devices to monitor and optimize building systems such as lighting, HVAC, and security. Uses AI for energy efficiency, predictive maintenance, and occupant comfort, enhancing building management.

reComputer AI R2130 R2140 Raspberry Pi 5 High-Performance Edge AI Computer

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Free pickup in our shop(s)

SKU: 114993560

$489.00 $439.00 Excl. GST

$439.00
Product available in stock.

    • We ship from our stock in AU (Perth), pickup by prior booking
    • We Offer Quantity Discounts for Large Orders 10+ qty (Request Quote)
    • We accept Purchase Orders & Net 30-day Payment for Eligible Accounts

    Description

    reComputer AI R2130 R2140 Raspberry Pi High-Performance Edge AI Computer, Based on Raspberry Pi 5, Hailo-8 AI Acceleration Module

    • Powerful Cooling Capabilities: The compact design and optimised thermal architecture make it highly suitable for deployment in resource-constrained environments, providing excellent cooling performance.
    • Powerful Performance: Powered by Raspberry Pi 5 with quad-core Cortex-A76 CPU, up to 8GB RAM.
    • 26 Tera-Operations Per Second: Powered by Hailo AI Accelerator Offering Integrated Computing Power of Up to 26 Tops.
    • Extensive Interfaces: 2x HDMI 4Kp60,1x Ethernet Port, 2x USB 3.0, 2x USB 2.0.
    • Wireless Connectivity: Dual-band Wi-Fi and Bluetooth 5.0/BLE.
    • Dual M.2 Slot with PCIe3.0 Speed: Utilising the ASMedia ASM2806 PCIe 3.0 switch chip, ensures optimal performance, overcoming PCIe 2.0 limitations.

    The reComputer AI R series features an industrial version with reComputer R2135 Edge AI Computer | Raspberry Pi CM5 + Hailo-8, both equipped with a 26 TOPS Hailo-8 acceleration module, and a ready-to-use model zoo and tool chain.

    • Powerful Performance with Raspberry Pi 5 Module: 4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU. Features up to 16GB RAM.
    • AI Vision Processing: With the Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
    • Powerful Cooling Capabilities: Its compact design and efficient thermal architecture ensure optimal cooling, making it perfect for deployment in resource-limited environments.
    • Extensive Connectivity: 2 x HDMI 4Kp60, 1 x Ethernet Port, 2 x USB 3.0, 2 x USB 2.0. Dual M.2 Slots with PCIe 3.0 speed for enhanced performance.
    • Wireless Connectivity: Dual-band Wi-Fi and Bluetooth 5.0/BLE.


      GitHub - Seeed-Projects/Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero: This repository provides a comprehensive step-by-step guide to building AI projects using the Raspberry Pi AI Kit.

      This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a focus on using an AI kit to perform computer vision tasks. You'll learn how to integrate AI into real-world IoT applications, from object detection and image classification to more complex visual recognition tasks.

      We will guide you step-by-step through setting up your Raspberry Pi, using AI frameworks, and deploying these models in various practical scenarios.


    Specification

    Basic Information

    CPU & GPU

    Raspberry Pi 5, 2.4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU

    AI Processor

    Hailo-8 M.2 Acceleration Module, 26 Tera-Operations Per Second

    Memory

    8GB RAM

    Operating System

    Raspbberry Pi OS, Ubuntu

     

    Interfaces

     

    Ethernet & USB

    1x 10/100/1000 Mbps Ethernet;

    2x USB 3.0(USB-A), 2x USB 2.0(USB-A)

    Camera/Display

    2 x micro HDMl ports(4Kp60); 2 × 4-lane MIPI camera/display transceivers

    Storage

    1 x microSD card slot(with support for high-speed SDR104 mode); 2 x M.2 slot(supports PCIe 3.0 M.2 NVMe SSD/Hailo M.2 Acceleration Module)

    Power Button

    On/Off included

    Wireless Communication

    Dual-band 802.11ac Wi-Fi®; Bluetooth 5.0/ BLE

    Video Decoder

    4Kp60 HEVC decoder

     

    Device Specification

     

    Ingress Protection

    IP40

    Operating Temperature

    0~45 °C

    Heat Dissipation

    Heatsink with Fan

    Power Supply

    5V/5A DC power via USB-C, Power Delivery supported

    Reliability

    Hardware Watchdog, High Accuracy RTC

    Warranty & Lifetime

    1-year warranty, Production Lifetime until January 2036

    Certification

    CE, FCC, Telec, RoHS, REACH

    Physical Specifications

    95mm * 63mm * 45mm (W x H x D)


    Hardware Overview



    Application

    With advanced features like object detection, object recognition, object tracking, OCR, and abnormal event detection with real-time alert triggers, this AI box is designed to deliver exceptional performance in resource-constrained environments.

    • Surveillance & Security

    Integrated into NVR systems for real-time video analytics, including object detection (e.g., intruders, abandoned items) and anomaly detection, enhancing situational awareness and security efficiency.

    • Smart Retail

    Create innovative Smart Retail solutions using AI-driven features like real-time visual product recognition, personalised shopping experiences, and advanced customer behaviour analytics for optimised store operations.

    • Smart Transportation

    Processes traffic and parking data from cameras/sensors at the edge, enabling intelligent traffic flow analysis and smart parking guidance to reduce congestion.

    • Digital Signage & Audience Engagement

    Links to cameras and content servers for dynamic content adaptation based on facial recognition and audience demographics, improving engagement in public spaces or retail environments.

    • Smart Building

    Integrates sensors and IoT devices to monitor and optimize building systems such as lighting, HVAC, and security. Uses AI for energy efficiency, predictive maintenance, and occupant comfort, enhancing building management.

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