Industrial-grade Edge AI/IoT Controller powered by Raspberry Pi CM5 with optional Hailo-8 AI accelerator (26 TOPS). Includes 8GB RAM, 32GB eMMC, extensive industrial interfaces, versatile wireless connectivity, fanless cooling, wide temperature range (-20°C to 65°C), and long-term production support. Engineered for reliable AI performance and seamless connectivity in demanding industrial environments.
Note:
- 4G requires both a 4G module and a 4G antenna.
- GPS requires a 4G module and a GPS antenna.
- LoRaWAN® requires a LoRaWAN® module.
Features
- Powerful performance with Raspberry Pi CM5: Broadcom BCM2712 quad-core Arm Cortex-A76 64-bit SoC @ 2.4GHz, up to 16GB RAM and 32GB eMMC for high-throughput Edge AI/IoT workloads.
- Robust heat dissipation: High-performance fanless cooling designed for sustained AI workloads, ensuring stable operation from -20°C to 65°C.
- Industrial-grade reliability: High-accuracy RTC, hardware watchdog, optional UPS supercapacitor, optional TPM/ATECC608A. IP40 aluminum alloy enclosure with DIN-rail and wall mounting. Production guaranteed until December 2036.
- AI-optimized computing: Optional Hailo-8 accelerator delivers up to 26 TOPS for real-time AI vision across multiple channels.
- Rich industrial connectivity: 3× RS485, 1× RS232, 8× DI, 8× DO (all isolated). 1× Gigabit Ethernet (PoE), 1× Fast Ethernet. 2× HDMI 2.0. 3× USB3.0 Type-A, 1× USB2.0 Type-A, 1× USB2.0 Type-C (for OS update). 1× Nano SIM slot.
- Versatile wireless connectivity: On-chip Wi‑Fi and BLE. 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
Learn to build computer vision solutions on Raspberry Pi using an AI kit—from object detection and image classification to advanced visual recognition for IoT applications.
Follow step-by-step guidance to set up Raspberry Pi, use AI frameworks, and deploy AI models in practical scenarios with the Edge AI/IoT controller.
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 AI features such as object detection, object recognition, object tracking, OCR (Optical Character Recognition), and abnormal event detection with real-time alert triggers, this industrial-grade Edge AI/IoT controller is engineered to deliver high-performance computing in resource-constrained environments.
- Manufacturing & Industrial Automation
With rich industrial interfaces, the controller integrates seamlessly with sensors, PLCs, and machinery, enabling efficient process monitoring and automation control. It supports multiple communication protocols for real-time data acquisition and remote equipment management, fostering a smart factory with improved productivity and reliability.
- 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 in surveillance applications.
- Smart Transportation
Functions as an AI/IoT gateway for real-time processing of visual data from multiple sensors and camera feeds at the edge. Enables intelligent traffic flow analysis, smart parking management, and transportation monitoring to improve urban mobility and traffic efficiency.
- Smart Building
Integrates sensors and IoT devices to monitor and optimize building systems such as lighting, HVAC, and security. Uses AI algorithms for energy efficiency, predictive maintenance, and occupant comfort, enhancing smart building management.
- Smart Retail
Enable innovative smart retail solutions with AI-driven features such as real-time product recognition, personalized shopping experiences, and advanced customer behavior analytics. Optimize store operations, improve customer engagement, and drive retail efficiency.
Documents
Certification
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO | CHINA |
Part List
| reComputer Industrial R2035-12 | 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 |