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Nokia Announces Enhanced IMPACT IoT Platform

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Nokia has announced updates to its Intelligent Management Platform for All Connected Things (IMPACT), making it easier for customers to deploy new services and business models for key IoT vertical applications, including smart parking, smart lighting and transportation/automotive. 

Nokia IMPACT is designed to give communication service providers, enterprises and governments a secure, standards-based platform on which to build and scale new IoT services. It manages data collection, event processing, device management, data contextualization, data analytics and applications enablement for any device, any protocol and across any application. It also features robust, multi-layered security across the platform to safeguard data, identities and devices.

The latest version of the Nokia IMPACT IoT Platform provides new capabilities and a suite of pre-integrated applications that allow customers to easily create and deploy secure revenue-generating IoT services.

“In addition to delivering industry-leading device management, security and analytics capabilities, IMPACT uniquely provides a single, horizontal platform allowing customers to manage and analyze data across multiple IoT applications,” said Frank Ploumen, CTO, IoT platform and applications, Nokia. “This makes each application richer and the insights more valuable. Our focus is on enabling customers to more easily build and deploy new, high-value services and business models while keeping data secure and optimizing the network infrastructure efficiency.”

New features of the Nokia IMPACT IoT platform include:

NB-IoT and LoRa Connectivity: Building upon existing Lightweight M2M (LWM2M) and Category M1 (CAT-M1) device support, interfaces to both licensed NB-IoT and unlicensed LoRa networks provide customers with additional IoT network efficiency improvements via low-power wide area networks (LPWAN).

Video Analytics: Powered by Nokia Bell Labs' machine learning algorithms, IMPACT provides new functionality for a range of IoT applications by automatically detecting anomalies in video feeds in real time, such as traffic accidents, speeding vehicles and unauthorized entry into secure locations, and triggering alerts for further action.

Smart Parking Application: Allows municipalities to better manage inventory, resulting in more efficient use of parking spaces, reduced traffic and pollution; provides drivers with real-time information on parking space availability and streamlines payment processes.

Smart Lighting Application: Enables municipalities to optimize electricity use and reduce costs through real-time inventory management; automatically detects lighting issues and failures to help ensure maximum uptime.


Vehicle Applications: Enables predictive maintenance, fuel efficiency, supply chain optimization and geo-fencing solutions triggered by vehicle data, including fuel levels, speed and GPS location. This data can be collected from a Connected Head Unit or an aftermarket (ODB2-based) device.

“The Nokia video analytics technology addresses a real industry challenge around real-time anomaly detection,” said Scott D. Fairholm, CIO, Pennsylvania Turnpike Commission. “PTC considers the Nokia approach unique and is looking forward to testing it out in the field.”




Edited by Stefania Viscusi
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