Room40 uses Nokia's machine-learning powered video, audio and IoT analytics to flag emergencies and crime at service stations, parking lots and construction sites - Seite 2

 

Josee Loudiadis, Vice President Enterprise Analytics and IoT, said: "Real-life situations require an intelligent platform that can proactively detect, select, and track only relevant video streams for a variety of surveillance tasks. An important element of our Future X for industries strategy, the Nokia Scene Analytics software is a game-changing solution to the problem of security monitoring and will have wide-ranging applications in many other smart city and industrial applications. We are very proud to work with Room40 and VIAS to develop this security solution and help make Belgian highway service stations safer."

 

Resources

• Website: Nokia Scene Analytics
• Website: Nokia Enterprise Analytics and IoT
• Application note: Scene Analytics for Smart Cities
• Ebook: Go Allwhere: The Architecture of the Industry's Digital Age
• Website: Go Allwhere
• Whitepaper: Networking solutions for the new age of industry
• 451 Research Pathfinder Report. Business-Critical Industrial Networks: THE MISSING LINK AS INDUSTRY GOES DIGITAL, by Rich Karpinski, Research Director, Voice of the Enterprise - IoT Principal Analyst, Mobile Operator Strategies

 

About Room40

Room40 is a Belgian start-up specialized in contextual solutions for information overload by using text, video, images and sound. These solutions are made by an experienced team of specialists with various backgrounds and expertise. For more information, visit the Room40 website: www.roomfourzero.com

 

About Nokia Scene Analytics

Nokia Scene Analytics analyzes motion flow to detect anomalies and combines this with deep learning to deliver enhanced detection capabilities.  Scene Analytics is built upon Nokia Bell Labs World Wide Streams (WWS) which processes these computer vision algorithms in real-time. Unlike many security solutions that have to be programmed to recognize security scenarios, Scene Analytics' ML software can learn what is normal. This gives it the ability to identify anomalous behavior that might not be anticipated by scenario-based (deep learning only) solutions. Room 40 will leverage existing Nokia algorithms, but will also be able to develop their own algorithms and integrate them into the product.