Industrial-grade Edge AI/IOT Controller powered by Raspberry Pi CM5 with optional Hailo-8 AI acceleration (26 TOPS). Features 16GB RAM, 32GB eMMC, 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. This Industrial Edge AI/IOT Controller, the Seeed Studio reComputer R2045-12 powered by Raspberry Pi, is designed for industrial applications.
Note:
- For 4G functionality, both a 4G module and a 4G antenna must be selected.
- For GPS functionality, both a 4G module and a GPS antenna must be selected.
- For LoRaWAN® functionality, LoRaWAN® module must be selected.
Feature
- Powerful Performance with Raspberry Pi CM5: Broadcom BCM2712 quad-core Arm Cortex-A76 64-bit SoC @ 2.4GHz. Features up to 16GB RAM and 32GB 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 aluminum alloy enclosure provides industrial-grade protection. Supports DIN-rail and wall mounting. Guaranteed production until at least December 2036.
- AI-Optimized 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: 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.
- 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 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.
The Seeed Studio reComputer R2045-12 is a powerful Industrial Edge AI/IOT Controller built on Raspberry Pi, ideal for industrial automation and AI applications.
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 aluminum alloy heat sink, 5052 aluminum alloy enclosure | |
| Mounting | DIN-rail/Wall | |
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 Edge AI/IOT Controller — the Seeed Studio reComputer R2045-12 powered by Raspberry Pi — is designed to deliver exceptional performance in resource-constrained environments.
- Manufacturing & Industrial Automation
The Industrial Edge AI/IOT Controller integrates seamlessly with sensors, PLCs, and machinery via rich industrial interfaces. 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 behavior analysis, enhancing situational awareness and security efficiency with the Seeed Studio reComputer R2045-12 Raspberry Pi controller.
- 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 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 with Industrial-grade reliability.
- Smart Retail
Create innovative smart retail solutions using AI-driven features like real-time visual product recognition, personalized shopping experiences, and advanced customer behavior analytics for optimized store operations powered by the Seeed Studio reComputer Industrial R2045-12 Raspberry Pi Edge AI/IOT Controller.
Documents
Certification
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO | CHINA |
Part List
| reComputer Industrial R2045-12 | x 1 |
| Mounting Bracket | x 2 |
| Bracket Screw | x 4 |
| DIN-rail Clip | x 1 |
| DC Power Female Jack to Screw Terminal Adapter | x 1 |
| 12V/3A Power Adapter (with 4 interchangeable adapter plugs) | x 1 |
| 15*2-pin Terminal Block Connector (Male) | x 1 |
| 120Ω Resistor | x 5 |
| Wi-Fi/BLE Antenna | x 1 |
| User Manual | x 1 |