Tag: AWS Partner Device Catalog
Building an Asset Tracking Solution Using LoRaWAN with Semtech LoRa Cloud and AWS IoT Core for LoRaWAN
LoRaWAN is a leading protocol utilizing Semtech’s LoRa long-range communications technology for LPWAN in battery-operated, remote monitoring, and control applications. AWS IoT Core for LoRaWAN offers a fully-managed LoRaWAN network server and delivers highly scalable, reliable services for a wide variety of use cases. Learn the core elements in an asset tracking application and how AWS and Semtech help lower the barrier for developers looking to deploy solutions.
Building IoT device hardware is complex, and hardware developers are looking for guidance on design considerations and development trade-offs to decrease design time and increase the value connected devices can bring. AWS works with IoT partners to simplify, accelerate, and optimize the device development journey. In this post, explore the hardware considerations and solutions offered by AWS Partners to address and minimize risk, time to market, and cost of IoT device development.
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.
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.
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.
Advances in the Industrial Internet of Things (IIoT) have made smart factories a reality through the application of AI and cloud computing technologies. In this post, explore how EXOR International’s systems-on-module (SOM) and edge gateways, powered by Intel’s Cyclone V FPGA, allow system integrators and application builders to deliver AWS-based IIoT solutions with faster time-to-market, lower total cost of ownership, and reduced development efforts.
With AWS IoT services and the AWS Partner Network, companies can plan, develop, and successfully execute IoT projects that meet specific business needs. AWS IoT addresses the fundamentals of IoT with a broad and deep set of services from edge to cloud, multi-layered security, and superior artificial intelligence integration that is proven at scale. A diverse set of APN Partners builds on this foundation and provides solutions for virtually any use case across a wide range of devices.