Integrating deep learning-based iot and fog computing with software-defined networking for detecting weapons in video surveillance systems

HIGHLIGHTS

• who: Cherine Fathy and Sherine Nagy Saleh from the (UNIVERSITY) have published the research work: Integrating Deep Learning-Based IoT and Fog Computing with Software-Defined Networking for Detecting Weapons in Video Surveillance Systems, in the Journal: Sensors 2022, 22, 5075. of /2022/
• what: The authors investigate the integration of deep learning techniques with Software-Defined Network (SDN) architecture to support delay-sensitive applications in IoT environments. The article discussed the benefits of creating automatic weapon detection systems and mentioned some of its challenges. The aim of QoS is to give priority with respect to . . .
  

   

  

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