Nokia MX Context AI-powered contextual awareness suites

Nokia has announced its MX Context suites, designed to leverage sensor fusion technology to deliver AI-powered contextual awareness for industrial enterprises.

Integrated into the Nokia Edge Compute and AI platform for industrial sites, the product processes large amounts of data from different sources, providing real-time actionable insights and intelligent automation to enable operational excellence and enhance decision-making. Industrial enterprises can easily ingest, harmonise and fuse sensor data to get real-time actionable insights and improve their operations.

The modular suites are built to create use case-based contextual awareness solutions, combining multimodal data from different sources and delivering real-time, AI-powered insights for Industry 4.0 use cases. They utilise Nokia’s on-premise edge industrial compute solutions, MXIE and MX Grid, for processing, as well as the MXIE Data Lake to store structured and unstructured data for historical analysis, and application data access via APIs.

The tracking and positioning suite can ingest and fuse data from various tracking and positioning technologies, like Bluetooth Angle-of-Arrival (ie, Nokia HAIP), video-based positioning (ie, Nokia VPOD), worker devices’ GPS, and other MXIE third-party tracking technologies such as HERE HD GNSS and Nordic ID. It provides positioning data and enables tracking continuity across mixed industrial environments to optimise asset utilisation, inventory management, processes and material flow.

The worker safety suite ingests and fuses different types of data from Nokia sensory solutions like Nokia VPOD, device sensors (ie, gyroscopes, accelerometers and microphones) and third-party applications. AI-based processing and fusion of real-time data provides situational awareness and contextual information, enabling the detection of potential accidents or incidents and facilitating the best response, such as triggering an alert, notifying emergency services or providing real-time guidance to the worker.