Post COVID-19 implementation of a bidirectional counter with reduced complexity for people counting application

This paper presents a system for counting people through infrared detection. The system tallies the count and update based on people moving in/out through the supervised area/premise. The counter requires two steps: detection coming in and leaving the area. Obstacle detection from infrared sensor updates the counters and the current value will be displayed in a thin-film-transistor module. With minimal hardware configuration, the developed system is robust and easier to install.

• Publication year

  2021

• Venue

  Journal of Physics: Conference Series

• Publication date

  Unknown publication date

• Fields of study

  Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1088/1742-6596/1878/1/012040
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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