Optimizing Traffic for Emergency Vehicles using IOT and Mobile Edge Computing

The ‘Internet of Things’ as a technology has opened up automation opportunities in almost every aspect of our daily lives, be it at home, in healthcare, in industry, with transport, wearable tech, and more. These opportunities have not only helped ease our day to day life, but also generated additional revenue models for businesses.
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  • Internet of Things
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  • Driver Recognition and Fatigue Detection Systems with Devices Powered by Intel

    This article discusses fatigue detection systems. These systems are designed to alert a driver when fatigue behavior is detected. When deployed in automobiles, the system can help to reduce the number of accidents caused by driver fatigue. An additional use of the system is driver identification. Only an authorized user can drive the vehicle, which helps in reducing accidents due to unauthorized drivers.
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  • Internet of Things
  • Intel® RealSense™ Technology
  • Get Started Using the DPDK Traffic Management API

    This tutorial describes the new traffic management (TM) API in DPDK 17.08. Features include hierarchical scheduling, traffic shaping, congestion management, and packet marking, using a generic interface for QoS TM configuration for devices such NICs, NPUs, ASICs, and FPGAs. A typical DPDK function call sequence helps you get started using the API.
  • Network Functions Virtualization (NFV)
  • Software Defined Networking (SDN)
  • Edge Data Processing POC with the UP Squared* Board

    With the amount of continuously generated data on the rise, the cost to upload and store that data in the cloud is increasing. Data is being gathered faster than it is stored and immediate action is often required. Sending all the data to the cloud can result in latency and presents risks when internet connectivity is intermittent. Edge computing involves processing data locally for immediate analysis and decisions.
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  • Internet of Things
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  • Computer Vision
  • Retail
  • Tutorial for Intel® VTune™ Amplifier Profiling for Docker* Container

    Author : Kiselev, Sergey (Intel) 

    Intel® System Studio – Intel® VTune™ Amplifier

    Profiling C++ Application in Docker* Container


  • Linux*
  • C/C++
  • Java*
  • Beginner
  • Intel® System Studio
  • Intel® VTune™ Amplifier
  • docker
  • profiling
  • Optimization
  • Platform Analysis
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