Category: Internet of Things

Mobile devices with extremely long battery life are enabling new use cases and will cover a much larger part of the exponentially growing IoT market. Learn how the asset tracking devices developed by General Mechatronics and AWS enable a secure and scalable platform for novel IoT applications. General Mechatronics is an AWS Partner that’s supporting customers on IoT product development, including the operation of related IoT infrastructure.

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.

Enterprises demand secure wireless networks that can be trusted with mission-critical tasks. As digital transformation and the Internet of Things (IoT) become business imperatives, private 4G and private 5G networks must connect everything from robots, cameras, signage, and machinery to virtual reality applications. Learn how AWS and Deloitte enable modern enterprises to build their own private 4G or private 5G network solutions.

Current methods to increase farming yields include the application of chemical fertilizers and the widespread use of pesticides. Capgemini believes in sustainable IT solutions and developed “Smart Hub Cropping” which checks precipitation in the farming fields, combines weather data from the government, and analyzes agricultural data to provide farmers with actionable insights and automation of the irrigation process. All of this is aligned to the most needed farmer experience of higher crop yield.

The ConnectSense Smart Power Cord allows users to easily connect their legacy edge devices and machines to an IoT solution by simply plugging in. The ConnectSense Smart Power Cord on AWS Quick Start was developed by GridConnect in collaboration with Trek10. Learn how the Quick Start allows users to deploy secure environments on AWS for a variety of solutions, including mining IoT data and AI tools to help analyze the data and gather insights.

Introducing new touch points, such as Amazon Alexa for voice user interface, allows car manufacturers to design new user experiences offboard and open new business models. Reply, an AWS Premier Consulting Partner, works closely with several players in the automotive industry. Learn how one OEM, in partnership with Reply, has extended its connected vehicle platform with a set of features that enable new business logics corresponding to new remote functionalities for car management provided to drivers.

Within AWS IoT fleet deployments, each connected device needs to have unique, trusted, verifiable identity. While Linux OS provides strong protection from unauthorized user access, it’s still possible to compromise the system if the attacker has full physical access to the device. NXP EdgeLock SE050 prevents attackers from extracting the private key even if the physical integrity of the device is compromised and the attacker managed to get access to the device filesystem.

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.

One of the most popular ways to innovate products is through the use of prototypes. Traditionally, prototyping involved labor-intensive processes of creating molds, but the old prototyping requirements can be overcome with the power of modern technology. Learn how 3D Systems worked with TensorIoT and AWS to incorporate machine learning into their system and migrate their backend to an ML-compatible framework.

To help safeguard workplaces from the pandemic, TensorIoT developed SafetyVisor, a suite of machine learning tools that can operate independently or in tandem with existing business infrastructure to monitor safety gear usage (like masks) and social distancing. SafetyVisor’s computer vision models are designed to work with your existing cameras, and the entire solution is built utilizing a flexible architecture to facilitate easy deployment and use.