Gravio unlocks the power of connected technologies by connecting sensors, input devices, cameras and APIs within a space, then continuously gather and share their information - enabling new ways to interact with, learn from and enhance a physical space.
To create these experiences, Gravio provides a powerful low-code / no-code environment to enable entrepreneurs and organisations of all sizes - across industries - to build custom, connected experiences for new and existing environments.
And to help scale and manage spaces and experiences, Gravio also provides solutions to help connected spaces grow from prototypes up to production use, from single installs to multiple sites.
Gravio is a product from Asteria - the Japanese market leader of application integration software - who believes in the power of connectivity, and the vast potential for connected spaces.
For a full explainer how Gravio works, please visit https://www.youtube.com/watch?v=vJBb_NrE8ns
Based on our record, AWS Greengrass seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In this blog post series, we will demonstrate how to use AWS IoT Greengrass and Hashicorp Nomad to seamlessly interface with multiple interconnected devices and orchestrate service deployments on them. Greengrass will allow us to view the cluster as a single "Thing" from the cloud perspective, while Nomad will serve as the primary cluster orchestration tool. - Source: dev.to / about 1 year ago
AWS IoT Greengrass allows one to manage their IOT Edge devices, download ML models locally, so that inference can then be also be done locally. - Source: dev.to / almost 2 years ago
To assist in deployment and management of workloads in your fleet, it's worth taking advantage of a fleet or device management tool such as AWS GreenGrass, Formant or Rocos. - Source: dev.to / over 2 years ago
In some cases, such as with edge devices, inferencing needs to occur even when there is limited or no connectivity to the cloud. Mining fields are an example of this type of use case. AWS IoT Greengrass enables ML inference locally using models that are created, trained, and optimized in the cloud using Amazon SageMaker, AWS Deep Learning AMI, or AWS Deep Learning Containers, and deployed on the edge devices. - Source: dev.to / over 2 years ago
Take a look at Greengrass https://aws.amazon.com/greengrass/ Enables OTA updates and fleet management. Source: almost 3 years ago
Blynk.io - We make internet of things simple
AWS IoT - Easily and securely connect devices to the cloud.
Bosch.IO - We bring the IoT to life. Bosch.IO GmbH has 71 repositories available. Follow their code on GitHub.
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
Bosch IoT Suite - Bosch IoT Suite provides solutions to realize innovative business models in the Internet of Things and cross-domain applications.
Azure IoT Hub - Manage billions of IoT devices with Azure IoT Hub, a cloud platform that lets you easily connect, monitor, provision, and configure IoT devices.