Artificial Intelligence & Machine Learning

Artificial Intelligence (AI), machine learning (ML) and computer vision are rapidly evolving technologies, and our access to NEC’s active R&D keeps U.S. solutions on the cutting-edge.

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Artificial Intelligence

AI enables computers to assist personnel with quick analysis of scenes and situations, and machine learning refers to the aspect of AI that enables computers to adapt based on data input rather than only on programming. Machine learning can apply to any type of pattern recognition, which is the automated recognition of patterns and regularities in data.

One example is improvements in computer vision, which enables computers to observe a scene and recognize changes the same way humans do. With machine learning, computer vision can learn typical activities and recognize anomalies.

NEC NSS offers integrated solutions for intelligent sensing, scene processing and identifying violators:

Intelligent Sensing

Enhance existing fiber optic networks with environmental disturbance technology to detect people, objects and events and simultaneously analyze vibration, acoustic, temperature and strain changes. NEC Intelligent Optical Fiber Sensing (iOFS) monitors critical infrastructure integrity and detects perimeter intrusion.

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At A Glance

NEC’s Intelligent Optical Fiber Sensing (iOFS) technologies identify people, objects, and events in a wide range of environments. NEC combines world-class expertise in transoceanic fiber-optic transmission and machine learning-based artificial intelligence (AI) with advanced distributed fiber-optic sensing technologies to create a solution that provides unobtrusive, low maintenance detection capabilities.

Applications

  • Fiber cable cut prevention
  • Cable localization
  • Traffic and road condition monitoring
  • Utility pole health monitoring
  • Environment temperature monitoring
  • Perimeter intrusion detection

Key Features

  • Long sensing range
  • Fine spatial resolution
  • Accurate event identification
  • No new cable installation required
  • Customizable software interface
  • Real-time and offline analysis
  • Portable Options
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Scene Processing

NEC Enhanced Video Analytics is an integrated software platform that flexibly observes and analyzes a combination of data in multiple video streams, including object detection, face recognition and behavior detection. Custom solutions may utilize the NEC Integrated Biometric Workstation.

Combined with biometric matching in the cloud, AI, edge sensors and centralized processing, EVA can also analyze behaviors and detect abandoned objects. These powerful tools enable operators to identify threats from massive amounts of video in seconds.

At A Glance

EVA accepts inputs from video cameras and other sensors, and then passes these streams through various algorithms to produce alerts and reports that users can view or export to incident management systems. Analytics units include:

  • Face recognition and analysis
  • Behavior detection and analysis
  • People count and crowd behavior detection
  • Object detection
  • Automobile identification and analysis