• 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.
• Price Increase Announcement

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 current pricing and availability.

• Powerful Performance Driven by Raspberry Pi CM5: Broadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC running at 1.5GHz, supports up to 16GB RAM, ensuring smooth multitasking and efficient data processing for AI and NVR workloads.
• advanced Video Analytics: Powerful video analytics capability supporting up to 4× 1080p video streams at 30 FPS in real time. Designed to handle complex and compute-intensive Vision AI workloads
• Robust Heat Dissipation: High-performance fanless cooling, engineered to handle the intense heat of AI workloads and ensure stable operation from -20°C to 50°C.
• Industrial-Grade Reliability: Integrated with high-accuracy RTC and hardware watchdog; supports optional UPS supercapacitor, TPM/ATECC608A security module. IP40-rated aluminum alloy enclosure for enhanced protection against dust and mechanical damage. Compatible with DIN-rail and wall mounting for flexible installation. Guaranteed production support until at least January 2036.
• On-Device AI Computing: Features a Hailo-8 AI accelerator delivering up to 26 TOPS, enabling low-latency, high-performance real-time AI vision processing on the edge across multiple camera channels.
• Rich Industrial Connectivity: 2x RS485, 1x RS232, 4x DI/4x DO (all isolated), 1x CAN FD;4x 1000M Ethernet ports (supporting PoE PSE, 12W max per port) + 1x additional 1000M Ethernet port, ideal for multi-camera NVR deployment with direct power supply;2x HDMI 2.0, 4x Type-A USB3.0, 1x 3.5mm Audio Jack;1x Nano SIM card slot for cellular network access.
• Versatile Wireless Connectivity:On-chip Wi-Fi and BLE for basic wireless communication;Mini-PCIe slot for expansion of LTE, LoRa®, Zigbee modules;M.2 B-Key slot for 4G/5G modules to meet diverse wireless connectivity needs.

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 afocus on using an AI kit to performcomputer 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.

• Security Surveillance & AI Video Monitoring

As an industrial-grade AI-powered NVR, the system supports advanced video analytics including object detection, recognition, tracking, OCR, and abnormal event detection. It is capable of processing up to 4× 1080p video streams at 30 FPS simultaneously at the edge.

With 4× Gigabit Ethernet ports supporting PoE plus an additional Gigabit Ethernet port, the device directly connects and powers IP cameras, enabling reliable perimeter protection, intrusion detection, loitering analysis, and unattended-site monitoring with low latency and high data privacy.

• Smart Factory & Industrial Safety

Designed for industrial environments, this AI NVR enables real-time video-based safety monitoring across production floors, workshops, and restricted zones. Typical applications include personnel presence detection, unsafe behavior recognition, PPE compliance monitoring, and anomaly detection near critical equipment. Its fanless thermal design, wide operating temperature range (–20 °C to 65 °C), and industrial-grade hardware ensure stable 24/7 operation in harsh factory environments, making it well suited for long-term visual monitoring where reliability is critical.

• Warehouse & Logistics Monitoring

For warehouses and logistics centers, the system supports multi-camera deployment to analyze video streams from storage areas, loading docks, and transit corridors in real time. With multi-channel 1080p 30FPS video analytics, it enables intrusion detection, area occupancy monitoring, abnormal behavior recognition, and asset movement tracking. Edge-based AI processing reduces network bandwidth requirements and ensures fast response times, even in environments with limited or unstable connectivity.

• Smart Retail & Commercial Spaces

In retail and commercial scenarios, the AI NVR provides local, real-time video analytics such as customer flow statistics, crowd density analysis, dwell-time detection, and abnormal event alerts. The combination of edge AI acceleration (26 TOPS) and PoE-powered multi-camera support allows efficient deployment in small to mid-sized stores without reliance on cloud computing. Local processing improves data privacy while delivering actionable insights for store operations and layout optimization.

• Smart Buildings & Facility Monitoring

Serving as a centralized AI video analytics node, the system supports intelligent monitoring of entrances, corridors, parking areas, and shared spaces. Applications include access-area surveillance, occupancy analysis, and after-hours anomaly detection. Its compact industrial design, DIN-rail and wall-mount support, and fanless operation enable flexible installation in building control cabinets, ensuring stable, low-maintenance operation in smart building deployments.