NewswireToday - /newswire/ -
Berlin, Germany, 2019/02/01 - Nanotron Technologies GmbH will be presenting its sensor and location data analytics products at the embedded world exhibition in Nuremberg, Germany from February 26 to 28 - Nanotron.com. ASX: SE1
• 360° edge analytics offer actionable business insights extracted directly from real-time sensor and location data;
• New line of location-aware wireless sensors suitable for mining, manufacturing and healthcare;
• Visit nanotron at embedded world in Hall 4, Stand 371.
The company specializes in Sensor and Location Data Analytics on site and at the edge. Its new analytics products fill the gap between raw sensor and location data and business applications by automatically extracting event information in real-time. Position data is collected and augmented using application context information. Insights into complex business processes are the direct output. Data is transformed into actionable, powerful insights and profitable knowledge.
360° Edge Analytics
At embedded world, nanotron will launch its new 360° Edge Analytics solution, the first of an entire portfolio of analytics tools and a new line of location-aware wireless sensors suitable for verticals including mining, manufacturing and healthcare.
Nanotron’s 360° Edge Analytics solution processes data from any sensor in conjunction with any location radio technology. Location-aware sensors sensors who are also able to report their location are increasingly important for distributed data acquisition such as sensing gases across extended areas in the mining industry.
“Executing data analytics right at the edge brings true real-time performance with low-latency location-awareness to the Industrial IoT,” said Dr Jens Albers, CEO at nanotron. “Nanotron’s 360° Edge Analytics delivers 360° visibility of events related to people, assets, machines and vehicles.”
Location-aware sensors are built on established and time-proven tag-ready smart RF modules nanotron’s swarm bee product family utilizing a common API. Ready-made anchors allow for easy to install scalable IoT infrastructure. The powerful set of available deployment and productivity tools enables customers to smoothly and easily scale up to increase the number of tracked objects and the size of the monitored area. Offering a per-node coverage range of up to 500 meters, the solution tracks objects with an accuracy down to 10 cm. It leverages the advantages of concurrent data communication, ranging and tracking and provides an extremely power-efficient approach for extended battery life of mobile devices.
Customers can start with straightforward functions such as automatic collision warning and real-time tracking. More sophisticated and powerful sensing and location-awareness capabilities can be added to the existing deployment right away or at an appropriate time in the future. Step-by-step implementation simplifies the deployment process as well as software integration thus minimizing time to market.
“Nanotron leverages its field-proven location-aware IIoT platform to enable continuous in-depth assessment, optimization and process restructuring,” said Albers. “Sensor and Location Data Analytics brings safety and productivity to an entirely new level, reliably 24 hours a day, 7 days a week.”
The present competitive landscape, where true, actionable knowledge provides an undeniable competitive advantage, will prompt increasingly more businesses to implement location-aware IIoT solutions in conjunction with 360° Edge Analytics. Forward-looking early adopters stand to benefit from the inescapable trend that is rapidly transforming the industry.
Nanotron (nanotron.com) is a leading provider of electronic location awareness solutions. If knowing what, where and when is mission-critical to your business, rely on nanotron with Location Running. Nanotron’s solutions deliver precise position data augmented by context information in real-time. Location Running means, reliably offering improved safety and increased productivity, 24 hours a day, 7 days per week: Location-Awareness for the Internet of Things (IoT).