
Note: Options marked with \* require additional purchase according to the bundle.
Date: March 2, 2026
Due to increased demand for modules and SSDs, reComputer' pricing is expected to rise by approximately \$20–\$80 in the coming weeks. Please confirm your orders and requirements accordingly to help secure availability.
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.
Parameter | Description |
Hardware Specification | |
Product Series | R22xx-12 |
CPU | Raspberry Pi Compute Module 5, 2.4GHz quad-core 64-bit Arm Cortex-A76 |
AI Processor | Pre-installed 1x Hailo-8 M.2 AI Acceleration 26TOPS |
Operating System | Raspbian, Debian |
RAM | 8GB/16GB |
eMMC | 32GB/64GB |
System Specification | |
Power Input | DC 9V~36V, 2-pin Terminal Block |
PoE | 4 x PoE PSE |
Power Switch | No |
Reboot Switch | Yes |
Interface | |
Ethernet | 4 x 10/100/1000 Mbps(supports PoE PSE) |
1 x 10/100/1000 Mbps IEEE 802.3/802.3u | |
USB | 4 x USB-A 3.0 Host |
1 x USB-C 2.0 (For flashing OS & Debug) | |
RS485 | 2x RS485 (Isolated) |
RS232 | 1x RS232 (Isolated) |
CAN | 1x CAN FD (Isolated) |
DI | 4 x Isolated DI Ports |
Input Voltage: 5~24V DC | |
DO | 4 x Isolated DO Ports |
Output Voltage: <60V DC | |
SIM Card | 1x Nano SIM Card Slot |
M.2 Slot | 2x M.2 M-key 2280 Slot for NVMe SSD; 1x M.2 M-key 2280 Slot for AI Accelerator (Pre-installed 1x Hailo-8 M.2 AI Acceleration 26TOPS); 1x M.2 B-key 3042/3052 Slot for 5G/4G LTE |
Mini-PCIe | 1x Mini-PCIe for LoRa module |
LED | 4 x LED indicators |
Buzzer | 1 |
Reset Button | 1 |
Audio | 1x 3.5mm Audio |
HDMI | 2 x HDMI 2.0 |
Wireless Communication | |
Wi-Fi 2.4/5.0 GHz | On-chip Wi-Fi |
BLE 5.0 | On-chip BLE |
LoRa® | USB LoRa®*/SPI LoRa®* |
4G/5G Cellular | 4G LTE/5G* |
Zigbee | 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 |
Ambient Conditions | |
Ingress Protection | IP40 |
Operating Temperature | -20~50 °C |
Operating Humidity | 10~95% RH |
Storage Temperature | -40~85 °C |
Others | |
Supercapacitor UPS | SuperCAP UPS LTC3350 Module* |
Hardware Watchdog | 1~255s |
RTC | High Accuracy RTC |
Security | Encryption Chip TPM 2.0* |
ATECC608A | |
Heat Dissipation | Fanless |
Warranty | 2 years |
Production Lifetime | Until January 2036 |
Statement | Options marked with * require additional purchase according to the accessories list. |
Equipped with advanced AI capabilities including object detection, recognition, tracking, OCR, and abnormal event detection with real-time alert triggers, this industrial-grade AI-powered NVR delivers exceptional performance for edge computing scenarios even in resource-constrained environments.
Leveraging rich industrial interfaces (2x RS485, 1x RS232, 4x DI/4x DO, 1x CAN FD), it seamlessly integrates with various sensors, PLCs, and industrial machinery, enabling efficient process monitoring and automated control. Supporting multiple industrial communication protocols, it facilitates real-time data acquisition and remote equipment management, paving the way for smarter, more efficient factory operations.
As a dedicated AI-NVR, it excels in real-time multi-channel video analytics—covering anomaly detection, object identification, crowd density monitoring, and behavior analysis. With 4x PoE PSE Gigabit Ethernet ports (12W max per port), it directly powers and connects IP cameras, delivering instant alerts for security incidents and significantly improving situational awareness and response efficiency.
Serves as an edge AI gateway to process visual data from multi-channel cameras and sensors in real time. Enables intelligent traffic flow analysis, vehicle identification, and smart parking management. Its industrial-grade stability (-20°C to 50°C operating temperature) and rich connectivity ensure reliable operation in outdoor and roadside environments, enhancing overall transportation monitoring capabilities.
Integrates with building sensors and IoT devices to monitor and optimize core systems such as lighting, HVAC, and access control. Utilizes AI algorithms for energy consumption optimization, predictive maintenance of equipment, and occupant comfort adjustment. The DIN-rail and wall-mounting design supports flexible deployment in building control cabinets, streamlining building management workflows.
Powers innovative retail solutions with AI-driven visual analytics: real-time product recognition, customer flow statistics, and shopper behavior analysis. Enables personalized in-store promotions and optimized shelf layout planning. Its multi-interface expansion capability supports seamless integration with POS systems and digital signage, boosting overall store operational efficiency.
| HSCODE | 8471504090 |
| USHSCODE | 8517180050 |
| UPC | |
| EUHSCODE | 8471707000 |
| COO |
reComputer Industrial R22xx | 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 |
19V/4.7A Power Adapter (with 1x US AC plugs + 1x EU plugs ) x1 | x 1 |
11*2-pin Terminal Block Connector (Male) x1 | x 1 |
120Ω Resistor | x 5 |
Wi-Fi/BLE Antenna | x 1 |
User Manual | x 1 |
An industrial-grade AI-powered NVR built on Raspberry Pi CM5 equipped with a Hailo-8 AI accelerator delivering up to 26 TOPS. Featuring 4 Gigabit Ethernet ports with PoE PSE support plus an additional Gigabit Ethernet port, it enables high-bandwidth video streaming and simplified PoE deployment for IP cameras. Offers rich industrial I/O, flexible wireless connectivity, fanless thermal design, and a wide operating temperature range from –20 °C to 50 °C, ensuring reliable AI video analytics and continuous, stable operation in demanding scenarios.