reComputer AI Industrial R2135 R2145 Raspberry Pi 5 High-Performance Edge AI Computer

Description

reComputer AI Industrial R2135 R2145 Raspberry Pi High-Performance Edge AI Computer, Based on Raspberry Pi 5, Hailo-8 AI Acceleration Module

  • Powerful Performance with Raspberry Pi CM5 Module: 4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU. Features up to 16GB RAM.
  • AI-Optimized Computing: With the Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
  • Rich Connectivity: 2 x HDMI, 1 x Gigabit Ethernet, 2 x USB 3.2 Type-A, 1 x USB 2.0 Type-C. 2 Slot for SSD storage and AI acceleration.
  • Advanced Video Processing: 4k 60fps H.265 decoder supporting 2-8 real-time (720p)multi-stream inferences for object detection and tracking.
  • Enhanced Industrial Reliability: Includes additional PoE, 4G/LoRa, TPM, and RTC.

Seeed Studio Tutorial of AI 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

Basic Information

CPU & GPU

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

AI Processor

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

Memory & Storage

8GB RAM, 32GB eMMC

Operating System

Raspbian, Debian

 

Interfaces

Ethernet & USB

1x 10/100/1000 Mbps Ethernet (RJ45);

2x USB 3.2 (USB-A), 1x USB 2.0 (USB-C for debug/OS updates)

Display & Audio

2x HDMI 2.0 Ports (Standard); 1x 3.5mm Audio Jack

Expansion Slots

1x PCIe 3.0 to M.2 slot (M-key 2242, occupied by Hailo-8 AI accelerator);

1x Mini-PCIe for 4G, 1x SIM Card Slot

LED & Buttons

3x LEDs (Power/ACT/4G); 1x Reset Button, 1x Boot Switch

Wireless Communication

2.4/5.0 GHz Wi-Fi (On-chip Wi-Fi 5), BLE 5.0 (On-chip BLE 5.0), 4G LTE (Optional), 3x Antenna Holes

 

Device Specification

 

Ingress Protection

IP40

Operating Temperature

-20~65 °C

Heat Dissipation

Heatsink with Fan

Operating Humidity

10~95% RH

Reliability

Hardware Watchdog, High Accuracy RTC

Security

Encryption Chip TPM2.0/ATECC608A (Optional)

Warranty & Lifetime

2-year warranty, Production Lifetime until December 2036

Certification

CE, FCC, Telec, RoHS, REACH

Physical Specifications

130mm * 93mm * 55.5mm (W x H x D)

688g Net weight

Enclosure

Aluminium Alloy Casing with PC Side Panels

Mounting

Din-rail/Wall mounting

 

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 optimise building systems such as lighting, HVAC, and security. Uses AI for energy efficiency, predictive maintenance, and occupant comfort, enhancing building management.


Read more

reComputer AI Industrial R2135 R2145 Raspberry Pi 5 High-Performance Edge AI Computer

Product form
Free pickup in our shop(s)

SKU: 114993595

$539.00 $489.00 Excl. GST

$489.00
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 Industrial R2135 R2145 Raspberry Pi High-Performance Edge AI Computer, Based on Raspberry Pi 5, Hailo-8 AI Acceleration Module

    • Powerful Performance with Raspberry Pi CM5 Module: 4GHz quad-core 64-bit Arm Cortex-A76 & VideoCore VII GPU. Features up to 16GB RAM.
    • AI-Optimized Computing: With the Hailo-8 AI accelerator, it delivers up to 26 TOPS, enabling real-time, high-performance AI vision processing across multiple channels.
    • Rich Connectivity: 2 x HDMI, 1 x Gigabit Ethernet, 2 x USB 3.2 Type-A, 1 x USB 2.0 Type-C. 2 Slot for SSD storage and AI acceleration.
    • Advanced Video Processing: 4k 60fps H.265 decoder supporting 2-8 real-time (720p)multi-stream inferences for object detection and tracking.
    • Enhanced Industrial Reliability: Includes additional PoE, 4G/LoRa, TPM, and RTC.

    Seeed Studio Tutorial of AI 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

    Basic Information

    CPU & GPU

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

    AI Processor

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

    Memory & Storage

    8GB RAM, 32GB eMMC

    Operating System

    Raspbian, Debian

     

    Interfaces

    Ethernet & USB

    1x 10/100/1000 Mbps Ethernet (RJ45);

    2x USB 3.2 (USB-A), 1x USB 2.0 (USB-C for debug/OS updates)

    Display & Audio

    2x HDMI 2.0 Ports (Standard); 1x 3.5mm Audio Jack

    Expansion Slots

    1x PCIe 3.0 to M.2 slot (M-key 2242, occupied by Hailo-8 AI accelerator);

    1x Mini-PCIe for 4G, 1x SIM Card Slot

    LED & Buttons

    3x LEDs (Power/ACT/4G); 1x Reset Button, 1x Boot Switch

    Wireless Communication

    2.4/5.0 GHz Wi-Fi (On-chip Wi-Fi 5), BLE 5.0 (On-chip BLE 5.0), 4G LTE (Optional), 3x Antenna Holes

     

    Device Specification

     

    Ingress Protection

    IP40

    Operating Temperature

    -20~65 °C

    Heat Dissipation

    Heatsink with Fan

    Operating Humidity

    10~95% RH

    Reliability

    Hardware Watchdog, High Accuracy RTC

    Security

    Encryption Chip TPM2.0/ATECC608A (Optional)

    Warranty & Lifetime

    2-year warranty, Production Lifetime until December 2036

    Certification

    CE, FCC, Telec, RoHS, REACH

    Physical Specifications

    130mm * 93mm * 55.5mm (W x H x D)

    688g Net weight

    Enclosure

    Aluminium Alloy Casing with PC Side Panels

    Mounting

    Din-rail/Wall mounting

     

    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 optimise building systems such as lighting, HVAC, and security. Uses AI for energy efficiency, predictive maintenance, and occupant comfort, enhancing building management.


    Read more

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