Development of an IoT-Enabled Smart Entrance Management System for Enhanced Public Safety

The client faces difficulties in effectively monitoring crowd density and managing entry and exit points due to limited real-time data collection, leading to potential safety hazards, inefficiencies, and non-compliance with capacity regulations across large facilities such as retail centers, airports, and logistics hubs.

A large-scale manufacturing enterprise specializing in entry and access control systems seeking to enhance safety and operational efficiency through integrated IoT solutions.

• Design and implement an IoT-enabled system that accurately monitors crowd density and entry/exit metrics in real-time.
• Enable dynamic access control based on live occupancy data, such as switching doors to exit-only mode when capacity limits are reached.
• Create comprehensive data collection and analysis capabilities to support safety compliance and operational decision-making.
• Develop a cloud-based dashboard for clients to visualize real-time data and manage access controls efficiently.
• Ensure system scalability, reliability, and security to support deployment across multiple large-scale facilities.

• IoT sensors at doors to track metrics such as passage counts, door open/close frequency and duration, temperature fluctuations, and obstruction detection.
• Real-time data transmission to a centralized cloud platform for processing and storage.
• Automated control logic to switch door modes (e.g., entry-only, exit-only) based on occupancy thresholds.
• An internal analytics dashboard providing real-time visualization of crowd density, door status, and sensor health metrics.
• Alerting mechanisms for sensor errors, obstructions, or abnormal activity detection.
• Integration with existing security and access control systems to synchronize and enforce policies.

• Existing security and access control systems for synchronized enforcement
• Notification and alerting systems for real-time incident management
• Analytics platforms for data interpretation and reporting

• System must process real-time sensor data with latency under 2 seconds
• Support scalability to thousands of sensors and multiple facility deployments
• Ensure high system availability with 99.9% uptime
• Implement robust security protocols to safeguard data and prevent unauthorized access
• Maintain system resilience with comprehensive error handling and failover mechanisms

The implementation of this IoT-enabled smart entry management system is expected to improve public safety by providing accurate, real-time crowd monitoring and dynamic access control. It aims to reduce overcrowding risks, ensure compliance with capacity regulations, and optimize facility operations, leading to enhanced customer trust and operational efficiency across large-scale retail, transportation, and logistics environments.