Smart Queue Analyzer for Hospital

Abstract - Hospitals often faced overcrowding and long waiting lines, which cause inconvenience to patients and create difficulties for hospital staff in managing service flow efficiently. The Smart Queue Analyzer is proposed as an automated solution to monitor and manage patient queues using Internet of Things Technology and embedded systems. The system uses sensors to detect and count the number of patients waiting in a queue, while a microcontroller processes the data in real time. The current queue status is displayed on a digital dashboard, allowing patients and hospital staff to stay inform about waiting conditions. When the number of patients exceeds a predefined limit the system generates alerts so that hospital staff can take immediate action, such as opening additional service counters or redistributing workload. The system also stores queue data for future analysis, helping hospital management identify peak hours and improve staff scheduling and resource allocation. By reducing waiting time and improving patient flow, the proposed system enhances service efficiency and patient satisfaction. Key Words: Smart Queue Analyzer, Hospital Queue Management, Internet of Things, Embedded Systems, Real Time Monitoring, Microcontroller, Patient Flow Management, Service Efficiency.