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Node-RED in IoT Projects: Intelligent Orchestration for Industry 4.0

The Challenge of IoT Integration Implementing IoT solutions in industrial environments presents complex technical challenges: heterogeneous devices communicating through different protocols, the need to integrate legacy systems with modern cloud platforms, and the demand for rapidly developing intuitive user interfaces for non-technical operators. In this context, the ability to quickly prototype and orchestrate complex data […]

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Mender: Secure and Manageable OTA Updates for IoT Devices

Introduction – The Evolution of IoT and the Software Management Challenge Between 2015 and 2024, the Internet of Things experienced significant growth: from simple environmental sensors to complex industrial systems, the number of connected devices increased from 3.8 billion to 18.5 billion, marking a growth of 387%. With this massive expansion, a crucial challenge has

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Edge-to-Cloud Platform for Energy Monitoring

AIknow has developed an advanced energy monitoring solution for its client, offering a complete system for the collection, analysis, and visualization of production and energy consumption data. The platform integrates seamlessly with existing infrastructure through IoT gateways installed in the field, capable of connecting directly to devices such as PLCs, smart meters, and sensors. Client

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Implementation of computer vision models through AI

NEED In the manufacturing sector, ensuring product quality is essential to reduce waste and improve production efficiency. However, traditional manual visual inspection methods are slow, prone to human errors, and difficult to scale.   OPERATING CONTEXT In industrial processes, operators need to detect defects in products through visual checks, often supported by measurement tools. This

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Implementation of WMS Solutions with GPS-Based Geo-Localization

NEED The goal is to develop an Android application for crane operators, helping them perform tasks such as picking, depositing, and transferring Loading Units within the warehouse   OPERATING CONTEXT Crane operators are responsible for moving the Loading Units from one area to another. Currently, they rely entirely on ground operators for guidance on where

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“Production plant” monitoring system

In collaboration with Mobiix (www.mobiix.it), AIknow implemented a series of custom Gateway applications for an important organization that creates production lines. The applications need to interface with both latest generation production lines via the most modern protocols typical in IoT (MQTT to name one), as well as with old plants via industrial type serial protocols

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Monitoring platform OrteaCloud

Edge-to-Cloud system for the remote control of tension stabilizers. The Edge component communicates with the stabilizer through industrial protocols, constantly acquiring the functional parameters and generating telemetry with a dynamic sampling frequency. The collected information is saved immediately in the gateway and is able to be historicized locally, in case of cloud disconnection, and then

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