InGateway902 AWS IoT Greengrass Qualified

InHand’s new IoT edge computing gateway aims to support the digital transformation of industries with IoT technologies. The product features highly-reliable and uninterrupted network connection, powerful edge computing capabilities, a Python-based custom development platform, and a cooperative ecosystem. It is designed to reduce cloud-end computing resources, realize data optimization, real-time response, agile connection and model analysis on the IoT edge, further advancing the development of digital networking in the AI era. The InGateway902 is also a certified Microsoft Azure IoT Device. The InGateway902 High-end Version et l' InGateway902 Basic Version are listed on Azure IoT Device Catalog.

Why InGateway902?

With Edge Computing, processing and actions can be moved from cloud to a local device, a gateway, or a PC on the factory floor, i.e. the edge of the network. For manufacturing, moving computing to the network edge can bring at least these benefits:  

● Near real-time response in mission-critical scenarios, without the latency inevitable when going through the cloud.

● Reduced bandwidth costs and resources required by cloud computing. 

● Predictive analysis, anomaly detection, image recognition, etc. by AI/machine learning running on the device. 

Where to use edge computing?

Example 1: CNC machines on factory floor

An edge computing device can take actions, e.g. an e-stop, in nearly real time according to pre-programmed logic, so that loss is prevented. 

Example 2: Remote oil fields where cloud connectivity is unstable and costly

An edge computing gateway can enable autonomous running and upload processed data to the cloud twice a day.