inoCORE5
Modular industrial Edge AI & IoT controller platform powered by Raspberry Pi Compute Module 5 (CM5). Built for scalable industrial connectivity, flexible I/O configurations, and modern wired / wireless networking.
Overview
inoCORE5 is a highly adaptable industrial controller platform that combines edge computing, artificial intelligence capabilities, and IoT connectivity.
Built around the Raspberry Pi Compute Module 5 (CM5), it offers a strong ecosystem foundation while targeting industrial deployments where connectivity, scalability, and long-term maintainability matter.
The inoCORE5 product family is designed as a modular platform. Individual variants may differ in:
- the number and type of I/O channels,
- available industrial interfaces,
- wireless communication options,
- mechanical form factor and mounting (e.g., DIN-rail, panel, embedded).
Despite differences in hardware configuration, inoCORE5 variants share a unified platform concept to keep software and integration consistent.
Product lineup
| Parameter | inoCORE5.1 | inoCORE5.2 | inoCORE5.3 |
|---|---|---|---|
| Target use | Home automation | Industrial automation | Edge AI, cameras & gateways |
| Compute module | Raspberry Pi CM5 | Raspberry Pi CM5 | Raspberry Pi CM5 |
| Ethernet | 1× Ethernet | 2× Ethernet | 2× Ethernet |
| USB | 2× USB | 2× USB | 4× USB |
| CAN | 1× CAN | 2× CAN FD | 2× CAN FD |
| Serial interfaces | 2× RS-485, | 2× RS-485, 2× RS-232 | 2× RS-485, 2× RS-232 |
| Digital I/O | N/A | 8× DI, 8× DO, 4x AI, 2x AO | 8× DI, 8× DO |
| Wireless options | Wi-Fi / BLE, optional 4G/5G | Wi-Fi / BLE, optional LoRa®, 4G/5G | Wi-Fi / BLE, optional LoRa®, 4G/5G |
| Mounting | DIN-rail | DIN-rail | DIN-rail / panel (variant-dependent) |
| Notes | Balanced baseline configuration | Optimized for automation cabinets | Optimized for AI & camera systems |
At a glance
Industrial Connectivity
Rich wired interfaces (Ethernet, USB, CAN FD, RS-485/RS-232, DI/DO) depending on the selected variant.
Wireless Options
Optional 4G/5G, LoRa®, Wi-Fi / BLE for distributed systems, remote access, and edge-to-cloud use cases.
Modular Platform
Multiple variants with a shared architecture — designed to scale across projects without redesigning the whole system.
Platform concept
inoCORE5 follows a platform-based design philosophy:
- Common compute core based on Raspberry Pi CM5
- Consistent system architecture across variants
- Scalable hardware configurations (I/O, interfaces, wireless)
- Simplified maintenance through portability and reuse
- Industrial-ready integration into control cabinets and distributed systems
This approach helps you build solutions faster, reduce integration risk, and reuse the same software stack across multiple deployments.
Key features
Typical capabilities across inoCORE5 variants include:
-
Edge computing & AI readiness
Suitable for running data processing pipelines and AI inference close to the machine. -
Industrial communication readiness
Designed to integrate with sensors, actuators, drives, PLCs, and industrial networks. -
I/O flexibility
Variants may offer configurable digital inputs/outputs and additional expansion options. -
Wired + wireless networking
Enables both robust on-prem networking and remote connectivity when needed. -
Compact and installation-friendly
Mechanical options tailored for industrial cabinets and embedded installations.
Interfaces
The exact set of interfaces depends on the inoCORE5 variant. Common industrial interfaces include:
Wired interfaces
- Ethernet (often dual Ethernet for segmentation or redundancy)
- USB for peripherals and service access
- CAN FD for real-time industrial communication
- RS-485 / RS-232 for industrial and legacy devices
- Digital inputs / outputs (variant-dependent counts)
Wireless interfaces
- 4G / 5G cellular connectivity (optional)
- LoRa® (optional, low-power long-range)
- Wi-Fi / Bluetooth Low Energy (BLE) (optional)
Variants
inoCORE5 is offered as a family of models to match different industrial requirements.
Common differences between variants include:
- I/O count (DI/DO and possible expansions)
- Communication interface selection (CAN FD / RS-485 / RS-232)
- Wireless module availability (4G/5G, LoRa®, Wi-Fi/BLE)
- Mechanical design & mounting (DIN-rail, panel, embedded)
The goal is to keep a consistent platform experience while enabling the right hardware configuration for each project.
Mechanical design & installation
inoCORE5 variants are designed for industrial installation and long-term operation.
Depending on the model, mechanical options may include:
- DIN-rail mounting
- Panel mounting
- Compact embedded enclosures
The mechanical approach emphasizes:
- compact footprint,
- straightforward installation,
- industrial cabinet compatibility.
Applications
inoCORE5 is designed as a versatile platform suitable for a wide range of industrial, infrastructure, and smart system applications.
Industrial AI / Edge Intelligence
- Edge AI inference and local decision-making
- Anomaly detection and predictive maintenance
- AI-assisted process optimization
- Privacy-focused analytics with reduced cloud dependency
Automation and control
- Machine automation coordination
- Robot and motion system supervision
- Smart production cells and distributed automation
- High-level control layer alongside traditional PLC systems
Industrial IoT gateways
- Protocol bridging between fieldbuses and IP-based systems
- Secure data transfer to SCADA, MES, or cloud platforms
- Aggregation, filtering, and preprocessing of machine and sensor data
- Edge-based logic and event handling
Data acquisition & monitoring
- Industrial process data acquisition
- Energy and environmental monitoring
- Condition monitoring of machines and infrastructure
- Long-term data logging and analytics
Camera systems and video processing
inoCORE5 can also be used as an edge platform for camera-based systems:
- Industrial camera gateways
- Edge video processing and AI-assisted video analytics
- Lightweight NVR / VMS nodes
- Event-driven video capture and processing
- Integration of camera systems with automation, alarms, or monitoring systems
Typical use cases include machine monitoring, perimeter surveillance, quality inspection, and infrastructure supervision.
Home and building automation
Thanks to its flexible I/O options and rich connectivity, inoCORE5 can be deployed in smart home and smart building automation scenarios:
- Building automation controllers
- Integration of lighting, HVAC, shading, and energy systems
- Smart home gateways and local automation hubs
- Sensor and actuator integration (wired and wireless)
- Edge logic for automation without cloud dependency
This makes inoCORE5 suitable not only for industrial environments, but also for residential, commercial, and mixed-use buildings where reliability, flexibility, and local control are required.
System architecture
inoCORE5 typically operates as the edge layer between shop-floor devices and higher-level systems.
Typical deployment flow:
- Field devices connect via industrial interfaces (DI/DO, RS-485/RS-232, CAN FD, Ethernet)
- inoCORE5 performs local processing, control logic, and/or AI inference
- Data and results are optionally forwarded to SCADA, MES, or cloud services
This architecture supports:
- low latency (local processing),
- scalability (distributed nodes),
- resilience (edge autonomy),
- flexible networking (wired + wireless).
What’s next
Use the following sections as your documentation entry points (you can expand them later into dedicated pages if needed):
- Hardware I/O and wiring guidelines
- Software stack and provisioning
- Remote management and update strategy
- Example configurations (CAN FD, RS-485 devices, gateways)
- Real deployments and reference projects