Product details
reComputer R1035-10 – IoT Gateway & Controller 8GB RAM
The reComputer R1035-10 is a high-performance IoT gateway and controller built for industrial applications.
Powered by the Raspberry Pi Compute Module 4 (CM4), it features 8GB RAM and 32GB eMMC storage, delivering reliable performance for demanding edge computing tasks.
This device supports multiple industrial communication protocols like RS485, Modbus, and BACnet, making it perfect for building automation, smart energy management, and intelligent industrial control solutions.
Features
Hardware Overview
R1024-10 vs R1035-10 – Which One’s for You?
Feature / Spec
R1024-10 (4 GB RAM, 16 GB eMMC)
R1035-10 (8 GB RAM, 32 GB eMMC)
RAM / Storage
4 GB RAM, 16 GB eMMC
8 GB RAM, 32 GB eMMC
Edge Processing / AI Workload Capacity
Suitable for light to moderate IoT / edge tasks
Better suited for heavier workloads, AI acceleration, real-time analytics
Industrial Protocol Support (RS485, Ethernet, Modbus, BACnet)
3× RS485, dual-Ethernet, supports Modbus / BACnet, etc.
Same support: 3× RS485, dual-Ethernet, Modbus / BACnet, with added headroom for more sensors/devices
Expansion & Storage Options (M.2 SSD, Wireless Modules)
Includes M.2 slot for NVMe SSD or wireless module expansion
Includes M.2 slot, optional wireless modules (LTE, LoRa, Zigbee), better suited for sensor-rich or distributed setups
Recommended Use Cases
Light industrial automation, energy monitoring, small-scale IoT setups, basic edge computing
Complex automation, smart building control, edge-AI dashboards, data-heavy sensor networks, industrial analytics
Cost Efficiency
More budget-friendly, good for simpler deployments
Higher performance justify cost in advanced projects
Related Controllers & Sensor Modules
• Industrial Controllers & PLC Modules
• Industrial Sensors & Sensor Modules Collection
Application
• Raspberry Pi CM4-Powered Intelligent Supermarket System
• Pose-based Light Control System with Node-Red & Raspberry Pi AI Kit
• MING Stack for Seamless IIoT Data Management
• FIN Framework for Smart Building Management
Customer Success Stories & Suggested Startup Use Cases
•
From factory floor to smart-factory startup:
An automation startup used R1035-10 as the edge gateway to monitor machine health across multiple industrial units. They connected vibration sensors over RS485 and environmental sensors via wireless modules. The gateway processed data in real time to detect anomalies and pushed alerts to a central dashboard, reducing downtime by predicting maintenance needs early.
•
Smart building & energy management:
A small building automation team deployed R1024-10 across several floors to gather energy meter data, environmental parameters, and access-control logs. The system aggregates data to a dashboard that tracks energy usage, sends alerts on irregularities, and helps optimize HVAC and lighting schedules making it efficient yet cost-effective.
•
Edge-AI for remote monitoring:
For remote solar sites or distributed sensor networks, R1035-10 can combine sensor data with edge-AI analytics (e.g. anomaly detection, predictive maintenance, environment analysis), making it a reliable on-site hub for data aggregation, processing, and dashboard integration even in limited-connectivity zones.
The reComputer R1035-10 is a high-performance IoT gateway and controller built for industrial applications.
Powered by the Raspberry Pi Compute Module 4 (CM4), it features 8GB RAM and 32GB eMMC storage, delivering reliable performance for demanding edge computing tasks.
This device supports multiple industrial communication protocols like RS485, Modbus, and BACnet, making it perfect for building automation, smart energy management, and intelligent industrial control solutions.
Features
Hardware Overview
R1024-10 vs R1035-10 – Which One’s for You?
Feature / Spec
R1024-10 (4 GB RAM, 16 GB eMMC)
R1035-10 (8 GB RAM, 32 GB eMMC)
RAM / Storage
4 GB RAM, 16 GB eMMC
8 GB RAM, 32 GB eMMC
Edge Processing / AI Workload Capacity
Suitable for light to moderate IoT / edge tasks
Better suited for heavier workloads, AI acceleration, real-time analytics
Industrial Protocol Support (RS485, Ethernet, Modbus, BACnet)
3× RS485, dual-Ethernet, supports Modbus / BACnet, etc.
Same support: 3× RS485, dual-Ethernet, Modbus / BACnet, with added headroom for more sensors/devices
Expansion & Storage Options (M.2 SSD, Wireless Modules)
Includes M.2 slot for NVMe SSD or wireless module expansion
Includes M.2 slot, optional wireless modules (LTE, LoRa, Zigbee), better suited for sensor-rich or distributed setups
Recommended Use Cases
Light industrial automation, energy monitoring, small-scale IoT setups, basic edge computing
Complex automation, smart building control, edge-AI dashboards, data-heavy sensor networks, industrial analytics
Cost Efficiency
More budget-friendly, good for simpler deployments
Higher performance justify cost in advanced projects
Related Controllers & Sensor Modules
• Industrial Controllers & PLC Modules
• Industrial Sensors & Sensor Modules Collection
Application
• Raspberry Pi CM4-Powered Intelligent Supermarket System
• Pose-based Light Control System with Node-Red & Raspberry Pi AI Kit
• MING Stack for Seamless IIoT Data Management
• FIN Framework for Smart Building Management
Customer Success Stories & Suggested Startup Use Cases
•
From factory floor to smart-factory startup:
An automation startup used R1035-10 as the edge gateway to monitor machine health across multiple industrial units. They connected vibration sensors over RS485 and environmental sensors via wireless modules. The gateway processed data in real time to detect anomalies and pushed alerts to a central dashboard, reducing downtime by predicting maintenance needs early.
•
Smart building & energy management:
A small building automation team deployed R1024-10 across several floors to gather energy meter data, environmental parameters, and access-control logs. The system aggregates data to a dashboard that tracks energy usage, sends alerts on irregularities, and helps optimize HVAC and lighting schedules making it efficient yet cost-effective.
•
Edge-AI for remote monitoring:
For remote solar sites or distributed sensor networks, R1035-10 can combine sensor data with edge-AI analytics (e.g. anomaly detection, predictive maintenance, environment analysis), making it a reliable on-site hub for data aggregation, processing, and dashboard integration even in limited-connectivity zones.
