Edge AI Gateway
Next-Generation 5G & LoRaWAN® Gateway for Seamless IoT Connectivity
- 5G & LoRaWAN® Hybrid Connectivity – Integrates 5G EPC software with LoRaWAN® 1.0.3 compliance, supporting 8 concurrent LoRa channels for seamless IoT deployments.
- High-Performance Edge Computing – Powered by an Intel Atom® x7-E3950 processor, 4GB DDR3 RAM, and 64GB SSD storage, ensuring fast and efficient data processing.
- Versatile Industrial Connectivity – Equipped with 4 Gigabit Ethernet ports, 1 RS-232 serial port, 2 USB 3.0 ports, and HDMI/DP output for flexible system integration.
- Rugged & Reliable Design – Built with metal aluminum housing, operates in extreme conditions (-20°C to 60°C), and supports wide power input (9–36V DC) for industrial use.
- Smart Remote Management – Supports over-the-air (OTA) and USB firmware upgrades, with Listen Before Talk (LBT) and background scanning for optimized wireless performance.
High-Performance Edge AI Meets Robust IoT Connectivity — Manusphere Edge AI Gatew
Elevate your industrial IoT strategy with the Manusphere Edge AI Gateway — a powerful platform that combines high-performance edge computing with reliable, long-range connectivity. Designed for demanding operational environments, this rugged gateway enables localized data processing, real-time analytics, and AI-driven applications directly at the source while seamlessly connecting your sensors and devices. Manusphere ensures expert integration of this advanced gateway, unlocking new levels of automation, efficiency, and intelligence across your operations.
Tackling Advanced Industrial IoT Demands
The Edge AI Gateway is engineered to meet the challenges of modern, data-intensive industrial applications:
| Challenge | Solution |
|---|---|
| Needing real-time data processing, complex analytics, or AI execution directly at the source to minimize latency and reduce network load. | Powered by an Intel Atom® x7-E3950 processor with 4GB DDR3 RAM and a 64GB SSD, delivering strong onboard performance for demanding edge computing and AI applications. |
| Maintaining reliable and interference-resistant connectivity in challenging operational environments. | Integrates an advanced IoT chipset supporting multiple concurrent channels, featuring Listen Before Talk (LBT) and background scanning to ensure stable, interference-free performance. |
| Requiring durable hardware capable of withstanding industrial conditions such as temperature fluctuations, dust, and vibration. | Built with a rugged aluminum housing, wide temperature tolerance (-20°C to 60°C), and flexible DC power input (9–36V), ensuring consistent operation in demanding environments. |
| Integrating with diverse systems, equipment, and IT infrastructure. | Offers extensive connectivity, including four Gigabit Ethernet ports, an RS-232 serial interface, two USB 3.0 ports, and HDMI/DP display outputs for seamless interoperability. |
| Deploying and managing applications securely and efficiently. | Runs on Ubuntu 20.04 LTS with TPM 2.0 hardware-based security, supporting both OTA and USB firmware updates for simplified management and enhanced system protection. |
Key Features & Manufacturing Benefits
Powerful Onboard Edge Intelligence
Execute complex algorithms, run AI/ML models for predictive maintenance or quality control, aggregate and filter data locally, and enable real-time decision-making right at the edge, thanks to the integrated Intel Atom® processor and ample memory/storage.
Advanced LoRaWAN® Connectivity
Connect numerous IoT sensors reliably over long distances. The high-performance core, combined with Listen Before Talk (LBT) and background scanning, ensures strong and stable data transmission even in demanding environments with heavy wireless activity.
Built for Industrial Environments
Deploy with confidence on the factory floor. The fanless metal enclosure, extended operating temperature tolerance, and flexible industrial power input make it suitable for installation in control cabinets, near machinery, or in other demanding locations.
Versatile System Integration
Connect PLCs, HMIs, industrial PCs, cameras, and other peripherals effortlessly using the quad Gigabit Ethernet ports, RS-232 serial interface, and high-speed USB 3.0 ports. Drive local dashboards or diagnostic displays via HDMI or DisplayPort.
Secure and Maintainable
Leverage the security features of Ubuntu Linux and the TPM 2.0 module to build trusted edge applications. Keep the system up-to-date easily through Over-The-Air (OTA) or direct USB firmware upgrades.
Technical Specifications: Browan Edge AI Gateway (L0009)
| Feature | Details |
|---|---|
| Model Name | Manusphere Edge AI Gateway |
| Processor | Intel Atom® x7-E3950 Processor (2M Cache, up to 2.00 GHz) |
| Memory | 4GB DDR3 |
| Storage | 64GB SSD |
| Operating System | Ubuntu 20.04 LTS |
| Security | TPM 2.0 hardware-based security |
| IoT Frequency Band | US 902–928 MHz (compliant with regional IoT parameters) |
| IoT Channels | 8 concurrent channels |
| Communication Protocol | IoT (LoRa-based) Network Communication, v1.0.3 |
| RF Core | Advanced chipset architecture with background scanning and LBT support |
| Transmit Power | Up to 27 dBm (0.5W) |
| Receive Sensitivity | Down to -142 dBm |
| Antenna | 1x External SMA connector (Front I/O) |
| Ethernet Ports | 4x Gigabit Ethernet RJ45 (1 Front, 3 Rear) |
| Serial Port | 1x RS-232 (DB-9) (Rear I/O) |
| USB Ports | 2x USB 3.0 (Type A) (Rear I/O) |
| Display Output | 1x HDMI / DisplayPort (Front I/O) |
| Other Interfaces | Power Button, Push Button, 2x LED Indicators (Front I/O); DC Jack (Rear I/O) |
| Operating Temperature | -20°C to 60°C (with SSD) |
| Storage Temperature | -20°C to 85°C |
| Operating Humidity | 5% to 95% RH (non-condensing) |
| Power Input | Wide-range 9–36V DC input via DC Jack |
| Housing Material | Durable aluminum metal chassis |
| Dimensions | 180 mm × 33 mm × 127.8 mm |
| Management | OTA and USB firmware upgrade support |
Ideal Industrial Applications
- Edge AI and machine learning applications (e.g., visual inspection, predictive maintenance, process optimization).
- Real-time data aggregation, filtering, and analytics from multiple sensors.
- Complex automation and control operations requiring ultra-low latency.
- Reliable connectivity for IoT sensor networks in demanding industrial environments.
- Integration hub for industrial machines, PLCs, and IT infrastructure.
- Deployments requiring a secure, high-performance, and durable edge computing platform.
