The accurate measurement of crowd density is a challenging and critical task with wide-ranging applications including event management, security, urban planning, and emergency response. Traditional techniques using video surveillance, infrared sensors, and Wi-Fi/Bluetooth tracking have been employed in this field; however, they present considerable limitations, particularly in dense, dynamic crowd scenarios.