Overview of DSGW-380 RK3588 Industrial Machine Learning Edge AI Gateway
DSGW-380 edge AI gateway designed to excel in machine learning on the edge applications. At the core of this gateway boasts a RK3588 chipset that combines a quad-core Cortex-A76 and a quad-core Cortex-A55, offering a balanced mix of high-performance and power efficiency. A built-in NEON coprocessor to enhance its capabilities in AI processing. Meanwhile, there is a NPU (Neural Processing Unit) in the CPU allows for specialized AI processing and supporting a range of data types including INT4, INT8, INT16, and FP16. This NPU can deliver up to 6 TOPS of computing power, making it suitable for demanding AI tasks.
DSGW-380 has rich IoT connectivity options including 5G, 4G LTE CAT4, CAT1, Wi-Fi 6 (IEEE 802.11ax), IoT wireless protocols like BLE 5.2 and LoRaWAN, and a variety of industrial real-time Ethernet and fieldbus protocols. This comprehensive connectivity suite makes it compatible with diverse industrial applications such as robotics, intelligent manufacturing automation, and smart infrastructure for industry 4.0.
Due to its robust features like rugged industrial design, DSGW-380 ensures durability and suitability for harsh conditions. It has a active fan cooling system to maintain the gateway’s optimal operating temperature, ensuring consistent performance, especially during intensive AI computations. Meanwhile, its rich interfaces provide integration options for a wide range of devices and sensors, making it versatile for a wide variety IIoT use cases.
Features of DSGW-380 Industrial AI Edge Computing Gateway
DSGW-380 delivers unprecedented data exchange and connectivity experience in spades and is poised to supercharge your industrial edge machine learning applications. The support for 5G, Wi-Fi 6, and two Gigabit Ethernet ports ensure that your data moves at exceptional speed in real time, with less latency. While the rich array of interfaces ensure seamless integration
The DSGW-380 supports full-stack embedded software development. By utilizing the integrated SDK and Wireless Module driver.it enables developers to build low-leveland custom applications.
Adaptable to Multiple Programming Languages： Java, C,C++,Python
Armed with a NPU boasting a formidable computing capacity of up to 6 TOPS (Trillions of Operations Per Second), DSGW-380 will revolutionize the way you harness artificial intelligence and machine learning capabilities on the IoT edge, not only about processing speed, but also the adaptability to handle the most intricate AI tasks on the edge of your network.
In addition to offering comprehensive APIs that streamline the IT application development process the DSGW-380 supports MQTT,TCP,and HTTP protocols. It enables users to build applications on major IloT Clouds like Azure loT Edge efficiently and caters to private cloud platforms.
DSGW-380 is designed to thrive in the harshest environment with the durability and robust construction. With an operating temperature range spanning from -25℃ to 75℃, it is engineered to endure the most demanding conditions with flexible installation options including DIN-Rail and Wall Mounting. FCC, CE, SRRC certification ready. ESD, environmental reliability tested.
Inner Board of DSGW-380 RK3588 Industrial Machine Learning Edge AI Gateway
- RS-232 Serial
- RS-485 Serial
- CAN
- USB 3.0
- HDMI
- Type-C
- RJ45 Port
Parameters of DSGW-380 RK3588 Industrial Machine Learning Edge AI Gateway
| CPU | RK3588 Quad-core ARM Cortex-A76 and Quad-core ARM Cortex-A55 |
| System | Debian 11 |
| RAM | 8 GB LPDDR4 |
| Storage | 128 GB eMMC |
| Power Supply | Input: DC 12V/4A |
| Indicator LEDs | The Power LED remains GREEN when the device is on. The 5G LED flashes BLUE when functioning correctly. The Wi-Fi LED flashes BLUE when operating properly. The LoRa LED remains BLUE when functioning correctly. |
| Reset Button | Factory reset button. To reset the Gateway to its original factory settings, press and hold it for more than 10 seconds. |
| I/O Port | IO1/IO2 DI DO AI |
| Ethernet | 2 * RJ45 Gigabit |
| SIM Card Slot | 1 * SIM Card Slot |
| Antenna | 1*BLE, 4*LTE(5G), 1*LoRa, 2*Wi-Fi(2.4G/5G) |
| RS232 | 1*RS232 |
| RS485 | 1*RS485 |
| CAN | 1 |
| HDMI | 2 |
| USB Port | 2*USB 3.0 |
| OTG 2.0 | USB Type C |
| Installation | DIN-Rail, Wall Mounting |
| Protection Rating | IP 30 |
| Shell Material | Aluminum alloy |
| Storage Temperature | -40℃~85℃ |
| Operating Temperature | -25℃~75℃ |
| Ambient Humidity | 5~95% |
Use Cases of DSGW-380 RK3588 Industrial Machine Learning Edge AI Gateway
Developer Resources of DSGW-380 RK3588 Industrial Machine Learning Edge AI Gateway
| Development | ||
|---|---|---|
| [QUICK START] | DSGW-380 RK3588 Industry AI Edge Computer Gateway V1.0-(1) (1).pdf | V 1.0 |
| [SDK] | DSGW-380-Debian_sdk_RV1.1.1.tar.gz | V 1.1.1 |
| [Firmware packaging] | DSGW-380-debian11-xcfe_image-AV1.0.3.img.tar.gz | V 1.0.3 |
| [Ble module firmware] | DSI-0177-Amber-BLE-NCP_AV3.2.4.0129 Version：3.2.4.297 | V 3.2.4.297 |
| Tools | ||
|---|---|---|
| [Burning tool] | AndroidTool_Release | |
| [Upgrade_tool] | DriverAssitant_v4.91 | V4.9.1 |
| Third-Party Software | ||
|---|---|---|
| [Node-RED] | node-red | |
| [Docker] | docker | |
| [Ble2Mqtt] | BLE2Mqtt message API v1.7 | V1.7 |
| [Zigbee2Mqtt] | Zigbee2Mqtt Source Code & How To Install and Deploy[Dusun] | V 2.2 |
| [Z-Wave2Mqtt] | Z-Wave2Mqtt(oz) of Dusun Gateway v1.0 | 1.0 |
| [Openz-wave] | OpenZwave Tutorial | |
| [Openthread] | OpenThread For OTBR | |
| [Matter] | Matter Developer Document Matter Chip-tool Document | |
DSGW-380 Model List
| Feature | Wi-Fi 6 | 5G | RS232 | RS485 | LoRa | BLE5.2 | Ethernet |
|---|---|---|---|---|---|---|---|
| DSGW-380-1 | ● | ● | ● | ● | ● | ● | ● |
| DSGW-380-2 | ● | ● | ● | ● | ● |
