Implementation of IoT and AI based Device to Monitor Entry and Exit Points in Hospitals
Kaustubh Kumar Shukla, Mayank Jaiswal, Bani Sharma, Drishti Sharma, Abhinav Jain, Alaka Pradhan
Abstract
A novel idea has been presented about AI & IoT in an anonymous entry alert system for infirmaries to enhance security, protect patient confidentiality, and comply with healthcare regulations. The proposed system detects and alerts authorized personnel when an unauthorized person enters a location without revealing their identity. AI and IoT enhances the system's capabilities by incorporating intelligent supervisory based on sensor data. These kind of system uses motion sensors, microcontrollers, a machine learning model, and an optional camera for data submission. The central server then analyses the AI model and manages data from multiple devices. The notification mechanism uses AI-driven insights for alerting. Actual aim is to produce an IoT and AI system to detect hospital entry and exit points, with enhanced security, optimize resource management, and maintain privacy. The system will integrate IoT devices and AI algorithms to detect unauthorized access, monitor visitor and staff movements, and provide real-time alerts. It will comply with HIPAA regulations and be tested in a simulated hospital environment. The system aims to balance security with privacy, reducing security risks and operational efficiency.