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ShareVDI AI Edge Gateway Solutions
RK3576/Android 14/NPU 6 Tops
G7-F1 Android 14 BOX PC
RK3576/Android 14/NPU 6 Tops
G7-F1 Android 14 BOX PC
RK3576/Android 14/NPU 6 Tops

● High performance RK3576 processor with 64-bit octa-core architecture and low power consumption

● Integrated ARM Mali-G52 MC3 GPU with built-in 2D graphics acceleration engine

● Embedded 6 TOPS NPU to support a wide range of AI application scenarios

● HDMI IN ×1, HDMI OUT ×1, DP ×1,supports 8K video encoding and decoding

● Support 1 × RS232, 1 × RS485, 1 × Wiegand

● Integrated 48MP ISP for advanced image processing

● External PSS Swich for Power-on Self-start Function

● Supports internal 4G / 5G module,with external 1 × SIM card slot

● Built in Dual-band WiFi (2.4G + 5G), Bluetooth supported

● Compatible with Android14.0 , Ubuntu22.04 , Debian11
RK3588S/Debian 11/6 TOPS
G6S-RK3588S AI Edge Gateway
RK3588S/Debian 11/6 TOPS
G6S-RK3588S AI Edge Gateway
RK3588S/Debian 11/6 TOPS

● Rockchip RK3588s, with a main frequency of up to 2.4GHz

● Built-in AI accelerator NPU with a computing power of 6TOPS

● 8G DDR4 memory and 64G EMMC storage

● One HDMI out port supports 8K video output

● Expandable GPIO interface, and onboard WiFi

● Android 12, Ubuntu 22.04 and Debian 11

● Widely applied in: Smart Home, Smart Security, AI Edge Computing, Cloud Phones, etc.
G6-RK3588 AI Edge Gateway
G6-RK3588 AI Edge Gateway
RK3588/2COM/2HDMI
G6-RK3588 AI Edge Gateway
RK3588/2COM/2HDMI

● 8nm advanced manufacturing process,8-core 64-bit architecture,delivering high performance and low power consumption. 

● Equipped with ARM Mali-G610 MC4 GPU and a dedicated 2D graphics acceleration module. 

● 6TOPS NPU,Support the installation of computing power sticks,empowering various AI scenarios. 

● Capable of 8K video encoding and decoding. 

● Features multiple built-in display interfaces,supporting multi-screen heterogeneous display. 

● Boasts a powerful image processing ability with a 48MP ISP. 

● Comes with a wealth of high-speed interfaces (PCle, Gigabit Ethernet), facilitating easy expansion.

● Supports Android and Linux operating systems.
The Rise of Edge AI in Modern Industries

As data generation explodes at the edge—from cameras, sensors, and IoT devices—businesses across sectors are turning to edge AI computing to reduce latency, enhance privacy, cut bandwidth costs, and enable real-time decision-making. From smart cities and industrial automation to retail and public safety, edge AI gateways are becoming the core infrastructure for embedding intelligence into physical operations.

How AI Edge Gate Is Deployed Across Industries

Edge solutions require hardware that balances high performance, energy efficiency, and environmental resilience. Key functional requirements include:

On-device AI inference for immediate response

Multi-channel video and sensor input processing

Reliable operation in harsh or remote environments

Support for diverse connectivity protocols and peripherals

Scalability to support evolving algorithm complexity

Application-Based Solutions Enabled by Edge AI Gateways
Smart City & Safe Community
Smart City & Safe Community

Challenge: Real-time monitoring of public areas, traffic, and perimeter security with support for multi-camera feeds and complex event triggers.

Solution:

-Multi-stream video analysis (people/vehicle detection, license plate recognition, anomaly detection)

-Local storage and management of event-triggered video clips

-Integration with cloud platforms for city-wide intelligence

-Hardware Requirements: High NPU performance, multi-HDMI output, dual LAN, support for 4G/5G

Retail & Customer Behavior Analytics

Challenge: Understand customer demographics, track footfall, identify VIPs, and prevent theft—all while preserving privacy.

Solution:

-Real-time people counting, gender/age classification, trajectory analysis

-Offline data processing ensures compliance with privacy regulations

-Hardware Requirements: Strong AI inference capability, support for USB cameras, Wi-Fi/5G connectivity

Retail & Customer Behavior Analytics
Industrial Safety & Compliance Monitoring
Industrial Safety & Compliance Monitoring

Challenge: Ensure worker safety and operational compliance through PPE detection, fire/smoke alarms, and zone intrusion alerts.

Solution:

-Helmet/vest/uniform detection

-Smoke/fire recognition

-Restricted area monitoring

-Hardware Requirements: Wide-temperature operation, rich I/O (RS232/485, GPIO), support for external AI accelerator

Elevator & Building Management

Challenge: Improve passenger safety and prevent misuse (overcrowding).

Solution:

-Electric bicycle detection

-Passenger counting

-Obstruction and door status monitoring

-Hardware Requirements: Low power consumption, 24/7 reliability, support for M2M communication

Elevator & Building Management
The Hardware Behind the Intelligence: Introducing G6-RK3588

To deliver these solutions effectively, a robust and scalable hardware platform is essential. The G6-RK3588 AI Edge Gateway is designed to serve as the engine for such edge AI deployments:


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-NPU Performance: 6 TOPS, suitable for multi-model or multi-channel inference

-Video Capability: 8K codec support, ideal for high-resolution camera inputs

-Expandability: M.2 slot for adding computing sticks (e.g., Hailo, GPU) or 4G/5G modules

-Connectivity: Dual GbE, USB3.0, RS232/485, HDMI 2.1

-OS Compatibility: Linux/Android, ideal for custom solution development


This gateway is particularly suited for applications requiring:

-Multi-camera AI analysis (retail, city surveillance)

-High-speed data processing (industrial systems)

-Low-latency response (safety-critical scenarios)

Build Smarter Solutions with Edge AI

Edge AI is not just a technological upgrade—it's a paradigm shift enabling industries to operate more safely, efficiently, and intelligently. With a flexible and powerful gateway like the G6-RK3588, developers and integrators can deploy scalable, future-proof solutions that meet the growing demands of edge intelligence.




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