Seeed Studio reComputer Industrial R2035-10 Raspberry Pi Edge AI/IoT Controller built on the Raspberry Pi CM5, with optional Hailo-8 AI accelerator (26 TOPS). It comes with 16GB RAM, 32GB eMMC, a wide range of industrial interfaces, flexible wireless expansion, fanless thermal design, an operating range from -20°C to 65°C, and guaranteed long-term availability. Created for reliable AI workloads and smooth connectivity in tough conditions, the R2035-10 Edge AI/IoT Controller is tailored for modern industrial deployments.
Note:
- To enable 4G, both a 4G module and antenna are required.
- To enable GPS, a 4G module and GPS antenna are required.
- To enable LoRaWAN®, a LoRaWAN® module must be fitted.
Features
- Performance powered by Raspberry Pi CM5: Broadcom BCM2712 quad-core Arm Cortex-A76 64-bit SoC @ 2.4GHz. With up to 16GB RAM and 32GB eMMC, the Seeed Studio reComputer Industrial R2035-10 provides robust computing for Edge AI/IoT Controller applications.
- Reliable Cooling: Fanless design engineered to dissipate heat effectively, keeping AI workloads stable between -20°C and 65°C.
- Industrial Reliability: High-accuracy RTC, watchdog, optional UPS supercapacitor, TPM/ATECC608A support. IP40 aluminium housing ensures industrial-grade protection. DIN-rail and wall mounting supported. Production guaranteed until at least December 2036.
- AI-Enhanced Processing: Optional Hailo-8 accelerator delivers up to 26 TOPS, enabling real-time AI vision across multiple streams.
- Comprehensive Industrial Interfaces: 3x RS485, 1x RS232, 8x DI, 8x DO (all isolated). 1x Gigabit Ethernet (PoE), 1x Fast Ethernet. 2x HDMI 2.0. 3x USB3.0 Type-A, 1x USB2.0 Type-A, 1x USB2.0 Type-C (for OS updates). 1x Nano SIM slot. Designed for seamless integration into industrial systems.
- Flexible Wireless Options: Built-in Wi-Fi and BLE. Expansion via Mini-PCIe for LTE, LoRa®, Zigbee. M.2 B-Key slot for 4G/5G, making the Industrial R2035-10 Raspberry Pi Edge AI/IoT Controller adaptable to varied wireless needs.
Seeed Studio Tutorial of AI Kit with Raspberry Pi: From Zero to Hero
This tutorial shows you how to unlock AI capability on the Raspberry Pi, using an AI kit for computer vision. You’ll learn to apply AI in practical IoT scenarios, from object detection and image classification to advanced recognition tasks.
Step-by-step guidance is provided for setting up your Raspberry Pi, working with AI frameworks, and deploying models in real-world projects using the Seeed Studio reComputer Industrial R2035-10 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 features like object detection, object recognition, object tracking, OCR, and abnormal event detection with real-time alert triggers, the Seeed Studio reComputer Industrial R2035-10 Raspberry Pi Edge AI/IOT Controller is designed to deliver exceptional performance in resource-constrained environments.
- Manufacturing & Industrial Automation
The Industrial R2035-10 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, making the Seeed Studio reComputer R2035-10 Raspberry Pi ideal for smarter and more efficient factories.
- AI-Powered Video Analytics & Surveillance
Integrated into NVR systems for real-time video analytics, including anomaly detection, object detection, crowd monitoring and behavior analysis, the Seeed Studio reComputer Industrial R2035-10 Raspberry Pi Edge AI/IOT Controller enhances 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. The R2035-10 Industrial Edge AI/IOT Controller enables intelligent traffic flow analysis and smart parking management, improving transportation monitoring capabilities.
- Smart Building
The Seeed Studio reComputer Industrial R2035-10 integrates sensors and IoT devices to monitor and optimize building systems such as lighting, HVAC, and security. Using Raspberry Pi Edge AI/IOT Controller technology, it delivers 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. The Seeed Studio reComputer Industrial R2035-10 Raspberry Pi Edge AI/IOT Controller powers optimized store operations with dependable industrial performance.
Documents
Certification
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO | CHINA |
Part List
| reComputer Industrial R2035-10 | 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 |