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Product description: reComputer Industrial R2235-12 - Edge AI / IoT NVR with Raspberry Pi CM5 and Hailo-8 26 TOPS - 16 GB - Seeedstudio 100077451
The reComputer Industrial R2245-12 is an advanced industrial edge AI /IoT NVR computer designed for video analytics, IP surveillance, automation, and intelligent infrastructure systems. Based on the Raspberry Pi CM5 module, it features the Hailo-8 AI accelerator, delivering up to 26 TOPS of AI performance. It offers 16GB of RAM , enabling smooth AI application execution, multi-source data processing, and stable multitasking. Four Gigabit Ethernet ports with PoE PSE support and an additional Gigabit Ethernet port allow the computer to simultaneously power and manage IP cameras , sensors, and network devices. Its IP40 aluminum housing , passive cooling , hardware watchdog, and wide operating temperature range make the reComputer R2245-12 well-suited for demanding industrial environments.

reComputer Industrial R2235-12 - Edge AI / IoT NVR with Raspberry Pi CM5 and Hailo-8 26 TOPS - 16 GB - Seeedstudio 100077451.
Main features of the reComputer Industrial R2235-12
- Raspberry Pi CM5 : a high-performance compute module with a quad-core 2.4 GHz Arm Cortex-A76 processor for Edge AI, IoT, and NVR applications
- Hailo-8 26 TOPS Accelerator : Hardware acceleration of AI models, object detection, image recognition, OCR, and video analysis in real time
- 4 Gigabit Ethernet ports with PoE PSE : direct connection and powering of IP cameras with up to 12W per port
- Additional Gigabit Ethernet port : separate connection to a host network, router, server or control system
- Isolated industrial interfaces : 2x RS485, 1x RS232, 1x CAN FD and 4 DI inputs and 4 DO outputs for integration with sensors, PLCs and automation
- Extensive connectivity : WiFi 2.4 GHz / 5 GHz, BLE 5.0, Nano SIM, Mini-PCIe and M.2 B-key for 4G / 5G LTE, LoRa and ZigBee modules
- Industrial operation : IP40 aluminum housing, passive cooling and an operating temperature range of -20°C to 50°C
- Versatile mounting : supports DIN rail mounting and wall mounting in control cabinets, monitoring systems and industrial installations
Raspberry Pi CM5 and Hailo-8 in the industrial Edge AI computer
The heart of the reComputer Industrial R2245-12 is the Raspberry Pi Compute Module 5 , A powerful computing platform designed for embedded systems, automation, and IoT solutions. The module utilizes a quad-core 2.4 GHz Arm Cortex-A76 processor , providing ample power to run the operating system, network services, user applications, and data processing. Built-in 32 GB eMMC memory and 16 GB RAM facilitate the running of more complex applications and multitasking. The Hailo-8 M.2 AI Acceleration chip offers performance of up to 26 TOPS, allowing the computer to perform local image analysis without having to upload all data to the cloud. This improves system response time, reduces network load, and increases data privacy.

In industrial automation, it can integrate data from sensors, PLCs, counters and actuators using RS485, RS232, CAN FD ports and digital inputs and outputs.
Connectivity and pinout of the reComputer Industrial R2245-12
The reComputer Industrial R2245-12 is equipped with a set of interfaces that allows you to connect cameras, sensors, controllers, industrial networks, and peripherals in a single edge system. Four Gigabit Ethernet ports with PoE PSE support enable simultaneous data transmission and powering of IP cameras, significantly simplifying AI monitoring installation. An additional Gigabit Ethernet port can be used to connect to a local network, server, router, or higher-level management system. For industrial communication, isolated RS485, RS232, CAN FD, DI, and DO ports are available, allowing you to connect PLCs, counters, I/O modules, sensors, relays, and actuators. The computer also offers HDMI 2.0, USB Type-A 3.0, and USB Type-C 2.0 ports for system flashing and debugging, a 3.5mm audio jack, a nano SIM slot , and antenna points for wireless modules . Thanks to the M.2 and miniPCIe slots, the computer can be expanded with NVMe memory, 4G / 5G LTE, LoRa or ZigBee communication.
Programming and implementing AI applications
The reComputer Industrial R2245-12 supports Raspberry Pi and Debian , allowing it to be programmed using popular tools from the Raspberry Pi ecosystem. You can develop applications in Python, C, C++, Node.js, or other languages supported by Linux , and use web services, Docker containers, and libraries for industrial devices. USB Type-C 2.0 access allows you to flash the operating system and debug the device while running your project. The platform is well-suited to working with AI frameworks and computer vision tools such as TensorFlow, PyTorch, ONNX, OpenCV, and solutions compatible with the Hailo-8 accelerator . Models can be prepared, optimized, and deployed locally, then used to analyze images from multiple cameras in real time. This allows the reComputer to function as an autonomous edge AI node, processing data close to the source and sending only analysis results or alarms to the host system.
Contents of the set
- 1x reComputer Industrial R2235-12 16 GB
- 2x mounting bracket
- 4x Handle screws
- 1x DIN rail clip
- 1x Female to Screw Connector Adapter
- 1x Power Supply 19V/4.7A
- 1x 11 x 2-pin male terminal connector
- 5x 120Ω resistor
- 1x WiFi/BLE Antenna
| Technical specifications of the reComputer Industrial R2235-12 | |
|---|---|
| Computing platform | Raspberry Pi Compute Module 5 |
| Processor | Quad-core 64-bit Arm Cortex-A76 2.4 GHz |
| AI Accelerator | Hailo-8 M.2 AI Acceleration |
| AI Performance | up to 26 TOPS |
| RAM | 16 GB |
| eMMC memory | 32 GB |
| Supported operating systems | Raspbian, Debian |
| Power supply | 9 V to 36 V DC, 2-pin screw connector |
| PoE | 4 x PoE PSE, max 12W per port |
| Power switch | NO |
| Reboot button | Yes |
| Reset button | 1 |
| Ethernet | 4 x 10 / 100 / 1000 Mb/s with PoE PSE support, 1 x 10 / 100 / 1000 Mb/s IEEE 802.3 / 802.3u |
| USB | 4 x USB Type-A 3.0 Host, 1 x USB Type-C 2.0 for system flashing and debugging |
| RS485 | 2 x RS485, isolated |
| RS232 | 1 x RS232, isolated |
| CAN | 1 x CAN FD, isolated |
| Digital inputs DI | 4 x isolated DI, input voltage 5V to 24V DC |
| Digital Outputs DO | 4 x isolated DO, output voltage <60 V DC |
| SIM slot | 1 x Nano SIM |
| M.2 slots | 2 x M.2 M-key 2280 for NVMe SSD, 1 x M.2 M-key 2280 for AI accelerator, 1 x M.2 B-key 3042/3052 for 5G/4G LTE |
| Accelerator included | 1 x Hailo-8 M.2 AI Acceleration 26 TOPS, pre-installed |
| Mini PCIe | 1 x Mini-PCIe for LoRa module |
| LED | 4 x LED indicator |
| Buzzer | 1 |
| Audio | 1 x 3.5mm audio jack |
| HDMI | 2 x HDMI 2.0 |
| WiFi | 2.4 GHz / 5 GHz, built-in module |
| BLE | BLE 5.0, built-in module |
| LoRa | USB LoRa or SPI LoRa, optional modules |
| 4G / 5G Cellular | 4G LTE / 5G, optional modules |
| ZigBee | USB ZigBee, optional module |
| EMC - ESD | EN61000-4-2, Level 3 |
| EMC - EFT | EN61000-4-4, Level 2 |
| EMC - Surge | EN61000-4-5, Level 2 |
| Degree of protection | IP40 |
| Operating temperature | from -20°C to 50°C |
| Working humidity | from 10% RH to 95% RH |
| Storage temperature | from -40°C to 85°C |
| UPS supercapacitor | SuperCAP UPS LTC3350 Module, optional |
| Hardware watchdog | from 1 s to 255 s |
| RTC | high accuracy RTC |
| Security | TPM 2.0 optional, ATECC608A |
| Cooling | passive, fanless |
| Case | aluminum, industrial |
| Installation | DIN rail, wall mounting |
| Mounting hole spacing | 75 x 75 mm |
| Housing dimensions | 155 x 120 x 68.5 mm |
| Dimensions with mounting brackets | 187.52 x 120 x 68.5 mm |
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