About this document
Indoor Crowd Detection with FSR Sensors by Ysl Éårly ßïrds is a document available to read on EtoBox.
This thesis presents a real-time crowd detection system using Force-Sensing Resistor (FSR) sensors and microcontrollers to enhance safety during indoor events by providing accurate data on crowd density and entrance rates. The system achieves an accuracy of 87.25% and is designed to be cost-effective and privacy-preserving, addressing limitations of existing technologies. The study evaluates the system
- Author
- Ysl Éårly ßïrds
- Language
- EN