Category: AWS IoT Greengrass

Kyndryl and AWS have developed an IoT solution to enhance firefighter safety at the edge in the face of intensifying wildfires and urban fires, using wearable devices with environmental sensors to monitor toxin exposure and health vitals in real-time. The solution transmits data to an AWS IoT/Data platform for analysis, presenting a color-coded status on a command dashboard that allows fire incident commanders to make informed decisions about firefighter health, positioning and evacuation need. This award-winning technology not only provides real-time situational awareness and automated record-keeping but also streamlines insurance claims and offers a user-friendly, compliant solution that can be adapted for worker safety solutions in industrial, energy and manufacturing sites.

By Chee How Lim, CEO – Tapway Marouane Sefiani, Sr. Partner Solutions Architect – IoT Vasileios Vonikakis, Sr. Partner Solutions Architect – AIML Tapway Computer Vision (CV) models are algorithms trained to recognize patterns in images and videos. In order for them to maintain high accuracy as visual environments evolve, they need to be updated […]

Learn how Storm Reply used AWS IoT services to implement a solution that is highly scalable, easy to maintain, and optimized to satisfy custom requirements for Schenck Process Group, a global market leader in measurement and process technology. Storm Reply’s approach is to pair the edge device capabilities of AWS IoT Greengrass with the storage and processing power of AWS and pairing these tools with a custom, high-quality web application.

Much of the hardware used on the factory floor today has been in place for many years, and managing these devices from the internet often requires replacement of the hardware. Utilizing AWS IoT Greengrass and AWS Lambda functions allow legacy hardware to be maintained, while providing full internet connectivity and management. This post shows how 42Q, an AWS Industrial Software Competency Partner, uses AWS IoT Greengrass to allow legacy label printers to be cloud-enabled.

ADLINK’s machine vision platform can detect defects in products as they move along the conveyor line. AWS IoT Greengrass 2.0 provides the secure link between edge solutions and the cloud. The result is a secure system that enables rich and informative decision-making to allow AI-guided solutions, such as quality inspections of operations and production, as well as alerts when actions are required. At the edge, ADLINK monitors production line data in real-time.

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.