Mobile Shore Occupancy Monitoring With AI Crowd Counting
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Solution Overview
Problem
Conventional beach monitoring systems are expensive, lack flexibility, and suffer from double-counting issues due to fixed positions, failing to adapt to dynamic crowd distributions and requiring complex maintenance.
Innovation Solution
A mobile platform-based system with a high-resolution imaging module, differential GNSS, image stabilization, AI-driven image processing, and a control hub for real-time adaptive monitoring, ensuring comprehensive coverage and accurate crowd counting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple static camera systems are deployed to cover extensive shoreline areas, then monitoring coverage is improved, but system cost and maintenance complexity increase significantly
Solution Approach 1:
The patent transitions from static camera systems to a mobile monitoring platform that can dynamically move across the shoreline. The mobile platform carries imaging equipment and can reposition itself to cover different areas, replacing the need for multiple fixed camera installations while maintaining comprehensive coverage.
Solution Approach 2:
The mobile platform serves multiple functions: it acts as a moving mounting structure, provides power supply through integrated batteries, houses communication modules, and carries imaging equipment. This multi-functional design consolidates what would otherwise require multiple separate static systems into a single versatile platform.
2Ease of manufacture
If static camera systems are used for occupancy monitoring, then installation is straightforward, but the systems cannot adapt to changing crowd locations in real-time
Solution Approach 1:
The mobile platform enables the monitoring system to dynamically adjust its position and orientation based on real-time crowd distribution. The platform can move to areas with higher occupancy concentrations and reorient its imaging equipment to track moving crowds, providing real-time adaptability that static systems cannot achieve.
3Area of stationary object
If overlapping fields of view from multiple static cameras are used to cover large areas, then comprehensive coverage is achieved, but double-counting of individuals occurs
Solution Approach 1:
The mobile platform sequentially positions the imaging equipment to cover different areas, reducing overlapping fields of view compared to simultaneous multi-camera coverage. This dynamic sequencing approach maintains comprehensive coverage while minimizing the double-counting problem inherent in static overlapping camera systems.
Solution Approach 2:
The system uses AI-based image processing to analyze captured images and identify individuals. By processing images sequentially from different positions and using recognition algorithms, the system can track and count individuals accurately across the shoreline, preventing double-counting even when some overlap occurs.
4Ease of manufacture
If fixed monitoring systems are deployed, then initial setup is simple, but they lack flexibility to reposition in response to dynamic beach activities
Solution Approach 1:
The mobile platform provides operational flexibility by enabling repositioning across the shoreline in response to dynamic beach activities. The platform can be easily moved and repositioned without complex installation procedures, maintaining simplicity while achieving adaptability that fixed systems lack.
Data Source
AI summary
The various embodiments herein provide a system and method for occupancy monitoring on shores, dynamically using a mobile camera system mounted on a mobile platform. The system utilizes advanced imaging technologies, differential GNSS for precise geo-tagging, and an AI-driven analysis framework to enhance the accuracy and reliability of occupancy data. The mobile nature of the system enables comprehensive coverage and real-time adaptability to changing conditions, significantly reducing resource utilization over traditional static camera methods. The system's modular design ensures scalability and flexibility, making it adaptable to various shoreline environments. This comprehensive approach not only increases the efficiency of monitoring practices but also supports more informed decision-making for beach management authorities.