Metro seat counter using ai

HIGHLIGHTS

  • What: The authors propose a facial recognition framework which can determine which coaches are overcrowded and which coaches are empty with the help of the camera fitted inside each coach. The authors propose, displaying the occupancy percentage of people traveling in a particular coach on the timing screens, before the arrival of the train which can help the passenger go to the gate for the coach with less crowd.
  • Who: Denial Pegu from the Due to its capability of working in real time it can be handle the constant incoming and outgoing passengers in the . . .

     

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