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What is KINEXON?

KINEXON specializes in gathering real-time localization data and translating it into meaningful actions across various fields, such as industry, sports, and entertainment. By leveraging our state-of-the-art technology, you can access insights that were once difficult to obtain, transforming data into competitive advantages. Did you know that you can improve operational efficiency by utilizing real-time location information from connected assets for processes like automated order fulfillment, quality control, or inventory replenishment? Automating tasks that involve multiple moving parts significantly minimizes the chances of human error and alleviates the strain of labor-intensive manual tasks, resulting in increased overall efficiency. With millions of containers used worldwide in manufacturing, ineffective management of these resources can result in substantial waste of both time and money. The implementation of automated container management systems that depend on precise RTLS data about container locations and statuses on the production floor greatly enhances visibility and utilization of these containers, ultimately streamlining operations. Furthermore, achieving this level of operational efficiency can lead to a more organized workflow, fostering enhanced productivity throughout your organization. Embracing these advancements can fundamentally transform how businesses manage their resources and optimize their processes.

What is Azure IoT Edge?

Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.

Media

Media

Integrations Supported

Smartabase

Integrations Supported

Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

KINEXON

Date Founded

2012

Company Location

Germany

Company Website

kinexon.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/iot-edge/

Categories and Features

IoT

Not specified

Categories and Features

IoT

Not specified

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