The Internet of Things on AWS – Official Blog

Category: Analytics

Utilizing AWS Services to Quickly Build Solutions for Robotics Use Cases

Introduction Autonomous mobile robots (AMRs) are widely used in many industries like logistics and manufacturing. However, there are various challenges in developing and operating autonomous robots. To develop autonomous robots, a wide range of technologies are required, and the process is complex and time-consuming. Integration with the cloud is also required to develop and operate the robots […]

Create insights by contextualizing industrial equipment data using AWS IoT SiteWise (Part 2)

Introduction In the first part of this blog series Create insights by contextualizing industrial equipment data using AWS IoT SiteWise (Part 1) we focused on asset modelling and real-time analytics in AWS IoT SiteWise. We created a dashboard in AWS IoT SiteWise Monitor to get a real-time overview of our furnace heating cycles. But we […]

Connected vehicles telemetry – Processing Protobuf messages with AWS IoT Core

Introduction In connect vehicles applications, telemetry data is usually very extensive, containing structure and unstructured data. To send data over to the Cloud you can use Protocol Buffers (Protobuf – binary format). Protobuf provides the application with an efficient yet well structured compressing mechanism. The built-in protocol documentation makes data serialization and deserialization more manageable […]

How commercial IoT providers can build dynamic rules for real-time insights on AWS

This blog post introduces a real case from a world-class commercial IoT service provider that uses AWS IoT to run its telemetry data analytics business that fulfills diverse and real-time data analysis requirements for clients. The key challenge the business faced was ingesting telemetry data in different formats to AWS IoT and generating real-time data […]

Increase military readiness with AWS IoT for Defense and National Security

In this post we discuss how AWS IoT for Defense and National Security (IoT4D) increases readiness by driving operational excellence for manufacturing and supply chains, improving sustainability for buildings and bases, improving equipment maintenance and uptime, and providing situational awareness at the tactical edge. IoT workloads securely collect, aggregate, and store data from fleets of […]

Drive efficiencies in sustainable waste management using AWS IoT Core

According to the UK local government association, councils spend around £852 million per year on waste collection. Therefore, even a small savings of 5% is considerable, amounting to £42.6 million. Additionally, when it comes to food, globally, we waste almost 1 billion tonnes of food each year. According to WRAP charity, businesses and governments are […]

Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 2

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Part 1 – Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1 Provisioning Layer The provisioning layer of your IoT workloads consists of the Public Key […]

Scaling for Complexity – Architecting for Performant Embedded Devices at the Edge – Part 1

The following is a survey paper, published and presented to the Academic Congress of Embedded World 2022 at Nuremberg, Germany on June 21st 2022. Abstract Embedded edge devices with multi-sensor data sources are proliferating at an accelerating rate. Devices must be designed, manufactured, installed, connected, and controlled through seven distinct logical layers to securely connect […]

Inductive sensor to ERP

How KAMAX connected their industrial machines to AWS in hours instead of weeks

This post was co-authored by Praveen Rao, Principal GTM leader, Mfg and Supply Chain at AWS; Adrian Weiss, Product Manager and Senior Data Scientist at nexineer; Nicolas Byl, Director Software Engineering at nexineer; Jill Mannaioni, Vice President Americas at CloudRail; and Philip Weber, Senior Partner Manager, EMEA and APJ at CloudRail. Every manufacturing customer these […]

Building machine learning pipelines with Amazon Kinesis Video Streams

Introduction Amazon Kinesis Video Streams (KVS) makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), playback, and other processing. KVS automatically provisions and elastically scales all the infrastructure needed to ingest streaming video data from millions of devices. It durably stores, encrypts, and indexes video data in […]