Kinexon was invited by the Generation Investment Management to the “Industrial Internet of Things & Automation Summit” in New York. Generation Investment Management is a boutique investment manager, founded by the Honorable Al Gore in 2014. Generation seeks to deliver superior investment results by consistently taking a long-term view and fully integrating sustainability research within a rigorous framework of traditional financial analysis.
The Honorable Al Gore, Generation’s Chairman, started the day with his opening remarks. The event featured a packed agenda of panel discussions, best practice case studies as well as renowned attendees, such as BMW Group, Search Fund Accelerator, IBM, and Siemens. Individual speakers shared their thoughts on the rapidly evolving Industrial IoT landscape. Where are we seeing the greatest use of these technologies? In which verticals, and for what purpose? What new business models are being enabled? Several attendees presented some of the most pioneering use cases seen in the market today. Kinexon contributed to the summit with two best practice use cases in the fields of automated guided vehicle (AGV) navigation and localization software platform.
AGVs are currently navigated based on markers on the floor or laser technology. Existing AGV steering technologies have many downsides. Induction- or laser-based navigations are inflexible, cost-intensive and fault-prone. They are not suited for the various promising applications in the Industrial IoT and currently do not enable swarm intelligence of AGV fleets. Therefore, Kinexon, together with a German premium automotive OEM, developed a solution to increase the intelligence and the flexibility of AGV steering. Kinexon’s cutting-edge radio technology, combined with the odometrical data of the AGV, delivers a highly flexible and precise solution for the positioning and navigation of AGVs.
Another presented best practice was our localization software platform Kinexon RIoT (Real-Time IoT). Location data can come from various sources in different forms. Each localization technology, such as high precision UWB, Wi-Fi, GPS, and RFID is suited for different types of use cases. The corresponding and parallelly used software of the service providers increases the complexity of the IT landscape significantly. The absence of a software platform that integrates and processes all sort of location information in large quantities (500.000 positions per second) and in real time (under 50ms) is a problem. The solution is Kinexon’s IoT platform Kinexon RIoT, which integrates, processes, and visualizes all sort of position, status, and identification data – also from 3rd party systems – in real-time and in high quantities using standard interfaces.
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KINEXON at SPOBIS 2019
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Case Study: St. John’s University Basketball
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