reComputer Industrial R2000 Raspberry Pi CM5 Edge AI/IOT Gateway Controller

Description

reComputer Industrial R2000 Raspberry Pi CM5 Edge AI/IOT Gateway Controller

Industrial-grade edge AI/IOT controller powered by Raspberry Pi CM5 with optional Hailo-8 AI acceleration (26 TOPS). Features extensive industrial interfaces, versatile wireless options, fanless cooling, wide temperature range (-20°C to 65°C), and long-term production support. Engineered for dependable AI performance and seamless connectivity in demanding environments.

  • Powerful Performance with Raspberry Pi CM5: Broadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz. Features up to 16GB RAM and 64GB eMMC.
  • Robust Heat Dissipation: High-performance fanless cooling, engineered to handle the intense heat of AI workloads and ensure stable operation from -20°C to 65°C.
  • Industrial-Grade Reliability: High Accuracy RTC, hardware watchdog and optional UPS supercapacitor. Optional TPM/ATECC608A. IP40, Aluminium alloy enclosure provides industrial-grade protection. Supports DIN-rail and wall mounting. Guaranteed production until at least December 2036.
  • AI-Optimised Computing: With the optional Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
  • Rich Industrial Connectivity: 
    • R20XX: 3x RS485, 1x RS232, 8x DI, 8x DO, all isolated. 1x 10M/100M/1000M Ethernet (PoE), 1x 10M/100M Ethernet. 2x HDMI 2.0. 3x Type-A USB3.0, 1x Type-A USB2.0, 1x Type-C USB2.0 (for OS update). 1x Nano SIM card slot.
    • R21XX: 2x RS485, 2x RS232, 2x CAN FD, 4x DI, 4x DO, all isolated. 1x 10M/100M/1000M Ethernet (PoE), 1x 10M/100M Ethernet. 2x HDMI 2.0. 3x Type-A USB3.0, 1x Type-A USB2.0, 1x Type-C USB2.0 (for OS update). 1x Nano SIM card slot.
  • Versatile Wireless Connectivity: On-chip Wi-Fi and BLE. Flexible expansion via Mini-PCIe for LTE, LoRa®, Zigbee. M.2 B-Key for 4G/5G.

Seeed Studio Tutorial of Al Kit with Raspberry Pi: From Zero to Hero

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:


Hardware Specification

Product Series

R20xx-12

R20xx-10

CPU

Raspberry Pi Compute Module 5, 2.4GHz quad-core 64-bit Arm Cortex-A76

AI Processor

1x Pre-installed Hailo-8 M.2 AI Acceleration, 26TOPS

*

 

Operating System

Raspbian, Debian

Memory & Storage

2GB/4GB/8GB/16GB RAM, 16GB/32GB/64GB eMMC

System Specification

Power Input

DC 9V~36V, 2-pin Terminal Block

PoE(as powered device)

IEEE 802.3 at Standard 25.5W PoE

Power Switch

No

Reboot Switch

Yes

Interface

Ethernet & USB

1x 10/100/1000 Mbps(supports PoE PD); 1x 10/100 Mbps IEEE 802.3/802.3u

3x USB-A 3.0 Host; 1x USB-A 2.0 Host; 1x USB-C 2.0 (For flashing OS & Debug)

COM and I/O

3x RS485(Isolated); 1x RS232(Isolated)

8x DI Ports(Isolated), input Voltage: 5~24V DC; 8x DO Ports(Isolated), output Voltage: <60V DC

SIM Card

1x Nano SIM Card Slot

M.2 Slot

1x M.2 M-key 2280 Slot for NVMe SSD;

1x M.2 M-key 2280 Slot for AI Accelerator

(pre-installed Hailo-8 M.2 AI Acceleration 26TOPS);

1x M.2 B-key 3042/3052 Slot for 5G/4G LTE

1x M.2 M-key 2280 Slot for NVMe SSD;

1x M.2 M-key 2280 Slot for AI Accelerator;

1x M.2 B-key 3042/3052 Slot for 5G/4G LTE

 

Mini-PCIe

1x Mini-PCIe for LoRa module

Control & Indication

4x LEDs; 1x Buzzer; 1x Reset Button

HDMI

2 x HDMI 2.0

Wireless Communication

Wi-Fi 2.4/5.0 GHz(On-chip); BLE 5.0(On-chip);

USB LoRa®*/SPI LoRa®*

4G LTE/5G*

USB Zigbee*

Standards

EMC

ESD: EN61000-4-2, Level 3; EFT: EN61000-4-4, Level 2; Surge: EN61000-4-5, Level 2

Certification

CE, FCC, TELEC, RoHS, REACH

Device Specification

Ingress Protection

IP40

Temperature

Operating Temperature -20~65°C

Storage Temperature -40~85°C

Operating Humidity

10~95% RH

Reliability

SuperCAP UPS LTC3350 Module*

Hardware Watchdog: 1~255s

High Accuracy RTC

Security

Encryption Chip TPM 2.0*

ATECC608A*

Heat Dissipation

Fanless

Warranty

2 years

Production Lifetime

Until December 2036

Dimension(W x H x D) & Weight(Net)

197.5 mm x 155 mm x 67.5 mm, 1280g

Enclosure

6063 Aluminium alloy heat sink, 5052 Aluminium alloy enclosure

Mounting

DIN-rail/Wall

Statement

Options marked with * require additional purchase according to the bundle.

 

Hardware Overview

 

 

 


Application:


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

  • Manufacturing & Industrial Automation

With rich industrial interfaces, the controller integrates seamlessly with different sensors, PLCs, and machinery, enabling efficient process monitoring and control. It supports multiple communication protocols for real-time data acquisition and remote equipment management, fostering a smarter and more efficient factory.

  • AI-Powered Video Analytics & Surveillance

Integrated into NVR systems for real-time video analytics, including anomaly detection, object detection, crowd monitoring and behaviour analysis, enhancing situational awareness and security efficiency.

  • Smart Transportation

Acts as an AI/IoT gateway for real-time processing of visual data from multiple sensors and camera feeds at the edge, enabling intelligent traffic flow analysis and smart parking management to enhance transportation monitoring management capabilities.

  • 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.

  • 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.





reComputer Industrial R2000 Raspberry Pi CM5 Edge AI/IOT Gateway Controller

Product form
Free pickup in our shop(s)

SKU: 100045506

$549.00 $499.00 Excl. GST

$549.00 $499.00
New stock coming, dispatch in about 10 days.

    • 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 Industrial R2000 Raspberry Pi CM5 Edge AI/IOT Gateway Controller

    Industrial-grade edge AI/IOT controller powered by Raspberry Pi CM5 with optional Hailo-8 AI acceleration (26 TOPS). Features extensive industrial interfaces, versatile wireless options, fanless cooling, wide temperature range (-20°C to 65°C), and long-term production support. Engineered for dependable AI performance and seamless connectivity in demanding environments.

    • Powerful Performance with Raspberry Pi CM5: Broadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz. Features up to 16GB RAM and 64GB eMMC.
    • Robust Heat Dissipation: High-performance fanless cooling, engineered to handle the intense heat of AI workloads and ensure stable operation from -20°C to 65°C.
    • Industrial-Grade Reliability: High Accuracy RTC, hardware watchdog and optional UPS supercapacitor. Optional TPM/ATECC608A. IP40, Aluminium alloy enclosure provides industrial-grade protection. Supports DIN-rail and wall mounting. Guaranteed production until at least December 2036.
    • AI-Optimised Computing: With the optional Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
    • Rich Industrial Connectivity: 
      • R20XX: 3x RS485, 1x RS232, 8x DI, 8x DO, all isolated. 1x 10M/100M/1000M Ethernet (PoE), 1x 10M/100M Ethernet. 2x HDMI 2.0. 3x Type-A USB3.0, 1x Type-A USB2.0, 1x Type-C USB2.0 (for OS update). 1x Nano SIM card slot.
      • R21XX: 2x RS485, 2x RS232, 2x CAN FD, 4x DI, 4x DO, all isolated. 1x 10M/100M/1000M Ethernet (PoE), 1x 10M/100M Ethernet. 2x HDMI 2.0. 3x Type-A USB3.0, 1x Type-A USB2.0, 1x Type-C USB2.0 (for OS update). 1x Nano SIM card slot.
    • Versatile Wireless Connectivity: On-chip Wi-Fi and BLE. Flexible expansion via Mini-PCIe for LTE, LoRa®, Zigbee. M.2 B-Key for 4G/5G.

    Seeed Studio Tutorial of Al Kit with Raspberry Pi: From Zero to Hero

    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:


    Hardware Specification

    Product Series

    R20xx-12

    R20xx-10

    CPU

    Raspberry Pi Compute Module 5, 2.4GHz quad-core 64-bit Arm Cortex-A76

    AI Processor

    1x Pre-installed Hailo-8 M.2 AI Acceleration, 26TOPS

    *

     

    Operating System

    Raspbian, Debian

    Memory & Storage

    2GB/4GB/8GB/16GB RAM, 16GB/32GB/64GB eMMC

    System Specification

    Power Input

    DC 9V~36V, 2-pin Terminal Block

    PoE(as powered device)

    IEEE 802.3 at Standard 25.5W PoE

    Power Switch

    No

    Reboot Switch

    Yes

    Interface

    Ethernet & USB

    1x 10/100/1000 Mbps(supports PoE PD); 1x 10/100 Mbps IEEE 802.3/802.3u

    3x USB-A 3.0 Host; 1x USB-A 2.0 Host; 1x USB-C 2.0 (For flashing OS & Debug)

    COM and I/O

    3x RS485(Isolated); 1x RS232(Isolated)

    8x DI Ports(Isolated), input Voltage: 5~24V DC; 8x DO Ports(Isolated), output Voltage: <60V DC

    SIM Card

    1x Nano SIM Card Slot

    M.2 Slot

    1x M.2 M-key 2280 Slot for NVMe SSD;

    1x M.2 M-key 2280 Slot for AI Accelerator

    (pre-installed Hailo-8 M.2 AI Acceleration 26TOPS);

    1x M.2 B-key 3042/3052 Slot for 5G/4G LTE

    1x M.2 M-key 2280 Slot for NVMe SSD;

    1x M.2 M-key 2280 Slot for AI Accelerator;

    1x M.2 B-key 3042/3052 Slot for 5G/4G LTE

     

    Mini-PCIe

    1x Mini-PCIe for LoRa module

    Control & Indication

    4x LEDs; 1x Buzzer; 1x Reset Button

    HDMI

    2 x HDMI 2.0

    Wireless Communication

    Wi-Fi 2.4/5.0 GHz(On-chip); BLE 5.0(On-chip);

    USB LoRa®*/SPI LoRa®*

    4G LTE/5G*

    USB Zigbee*

    Standards

    EMC

    ESD: EN61000-4-2, Level 3; EFT: EN61000-4-4, Level 2; Surge: EN61000-4-5, Level 2

    Certification

    CE, FCC, TELEC, RoHS, REACH

    Device Specification

    Ingress Protection

    IP40

    Temperature

    Operating Temperature -20~65°C

    Storage Temperature -40~85°C

    Operating Humidity

    10~95% RH

    Reliability

    SuperCAP UPS LTC3350 Module*

    Hardware Watchdog: 1~255s

    High Accuracy RTC

    Security

    Encryption Chip TPM 2.0*

    ATECC608A*

    Heat Dissipation

    Fanless

    Warranty

    2 years

    Production Lifetime

    Until December 2036

    Dimension(W x H x D) & Weight(Net)

    197.5 mm x 155 mm x 67.5 mm, 1280g

    Enclosure

    6063 Aluminium alloy heat sink, 5052 Aluminium alloy enclosure

    Mounting

    DIN-rail/Wall

    Statement

    Options marked with * require additional purchase according to the bundle.

     

    Hardware Overview

     

     

     


    Application:


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

    • Manufacturing & Industrial Automation

    With rich industrial interfaces, the controller integrates seamlessly with different sensors, PLCs, and machinery, enabling efficient process monitoring and control. It supports multiple communication protocols for real-time data acquisition and remote equipment management, fostering a smarter and more efficient factory.

    • AI-Powered Video Analytics & Surveillance

    Integrated into NVR systems for real-time video analytics, including anomaly detection, object detection, crowd monitoring and behaviour analysis, enhancing situational awareness and security efficiency.

    • Smart Transportation

    Acts as an AI/IoT gateway for real-time processing of visual data from multiple sensors and camera feeds at the edge, enabling intelligent traffic flow analysis and smart parking management to enhance transportation monitoring management capabilities.

    • 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.

    • 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.





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