AWS Partner Network (APN) Blog

Category: Internet of Things

Solutions-Architecture-1

Intelligent Video Analytics and Effective Remote Learning on Campus Private 4G/5G Networks

Edge computing is a new paradigm in which the resources of a small data center are placed at the edge of the internet, in close proximity to mobile devices, sensors, and end users. Learn about the Physical Distancing Video Analytics Solution (VAS) on campus private 4G/5G networks that was developed utilizing AWS edge services in partnership with Carnegie Mellon University’s Open Edge Computing Initiative, Megh Computing’s Video Analytics Solution, and Federated Wireless Private Network Connectivity as a Service.

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Cloud Anything-9

Onboarding and Managing Agents in a SaaS Solution – Using AWS IoT Core

You can manage agents in a multi-tenant SaaS environment using AWS IoT Core. Review a solution that offers a modular and secure approach to register and manage agents. It relies on AWS managed services to offload the heavy lifting of implementing and maintaining those mechanisms, and provides scalability, elasticity, and availability. Using AWS IoT Core for agent management provides various capabilities for managing, securing, and analyzing usage and sent data from the registered agents.

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TTI-AWS-Partners

Connecting Your LoRaWAN Devices from The Things Stack to AWS IoT Core

Learn how to integrate a customer’s LoRaWAN devices connected to The Things Stack’s LoRaWAN Network Server with the AWS IoT Core service running in their account. This integration enables you to unleash the functionality available in the AWS IoT portfolio of services (and overall AWS ecosystem) for implementing solutions. The Things Stack is maintained by The Things Industries (TTI) and provides an integrated chain of products and services for customers to start working on IoT.

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IoT-7

How to Deploy AI Inference on the Edge with the LG AIoT Board and AWS IoT Greengrass

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.

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Deloitte-AWS-Partners

Supply Chain Tracking and Traceability with IoT-Enabled Blockchain on AWS

Many companies today are challenged to ensure the resiliency of their supply chain operations against the disruption of geopolitical events, climate-related disasters, public health crises, and more. Explore how Deloitte’s IoT-enabled blockchain solution for supply chain can help organizations create transparency and promote trust in their supply chain with a single source of truth for product quality and traceability.mThe solution is powered by AWS IoT and Amazon Managed Blockchain services.

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Machine Learning-4

Using Fewer Resources to Run Deep Learning Inference on Intel FPGA Edge Devices

Inference is an important stage of machine learning pipelines that deliver insights to end users from trained neural network models. These models are deployed to perform predictive tasks like image classification, object detection, and semantic segmentation. However, constraints can make implementing inference at scale on edge devices such as IoT controllers and gateways challenging. Learn how to train and convert a neural network model for image classification to an edge-optimized binary for Intel FPGA hardware.

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AWS IoT Partners

Extend Data Management to the Edge with AWS IoT Core Edge Software Qualification

Connected devices require a complex combination of hardware, operating systems, and software to connect to the cloud. To simplify this development for customers, AWS works with Independent Hardware Vendors (IHV) that can integrate AWS IoT services. In this post, we explore three qualified AWS IoT Edge Software offerings, and dive deep on how these IHVs solve business use cases while enabling customers to use these software frameworks to connect to AWS IoT services.

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MachineMetrics-COVID-1

MachineMetrics Offers Free Remote Monitoring Solutions to Manufacturers Impacted by COVID-19

MachineMetrics, an AWS Industrial Software Competency Partner, is committed to supporting front-line workers on the manufacturing floor and in the medical field. By enabling mobile workers, industrial companies are better able to ensure the safety of their employees while continuing to serve their own customers. MachineMetrics is offering free access to its Industrial IoT platform to any manufacturer involved with the production of ventilator parts, test equipment, protective equipment, or COVID-19 treatment-related manufacturing.

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Telefonica-AWS-Partners

Using a Telefonica Data Bridge to Connect Narrow Band IoT Devices to AWS IoT Core

AWS IoT Core supports billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and other devices reliably and securely. AWS IoT Core requires X.509 certificates for authentication, but the X.509 standard consumes battery power, negating LPWAN’s advantage in that area. Telefonica developed a data bridge to enable IoT devices to connect securely to AWS IoT Core, while preserving the long range, low cost, and low power advantages of LPWAN connections.

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Percepio_AWS-Solutions

Detecting Bugs in Deployed IoT Devices Using Percepio DevAlert

The average cost of fixing bugs in an embedded device’s first year of service alone can run in the hundreds of thousands of dollars. Percepio DevAlert works with AWS IoT Core to alert developers when an error is first detected, and provides visual trace diagnostics to identify the root cause. Percepio is an APN Advanced Technology Partner specializing in visual trace diagnostics for embedded and IoT device software developers. 

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