GeoXpert developed a smart passenger counting system. It uses advanced computer vision and machine learning to enhance safety, operational efficiency, and emergency response. Leveraging existing camera infrastructure, the system identifies cable car plates and estimated passenger count in real time, enabling informed decisions during emergencies or technical failures. The system assures zero hardware installations, real-time counting, accuracy rates up to 90%, with over 3000 daily detected passengers.
Key Figures:
✅ Zero IoT hardware installation
✅ Zero latency - real-time passenger counting
✅ 3000+ daily detected passengers
✅ 90% predicted accuracy rate
Features:
- Object Detection Technology
- Deep learning models empower our system to precisely identify visitors, staff, and cable car license plates in real-time video streams, even under varying lighting or long distances.
- Multi-Object Tracking (MOT)
- The system can accurately detect every object in the scene and assign it a unique identification ID for real-time tracking. This capability enables the system to precisely track the dynamics of each object in motion, whether in a cable car or in a dense crowd, and lock onto and track the movement trajectories of individual targets. Also, by tracking each object in real-time, the system can continuously gather and analyze data on passenger movements, offering deeper insights to enhance safety measures and improve operational efficiency.
- Real-time data processing and analysis
- The system adopts real-time data processing technology to quickly analyze image data, update passenger count statistics and crowd flow dynamics in real time, and provide real-time data support for operation management.
GeoXpert developed a smart passenger counting system. It uses advanced computer vision and machine learning to enhance safety, operational efficiency, and emergency response. Leveraging existing camera infrastructure, the system identifies cable car plates and estimated passenger count in real time, enabling informed decisions during emergencies or technical failures. The system assures zero hardware installations, real-time counting, accuracy rates up to 90%, with over 3000 daily detected passengers.
Key Figures:
✅ Zero IoT hardware installation
✅ Zero latency - real-time passenger counting
✅ 3000+ daily detected passengers
✅ 90% predicted accuracy rate
Features:
- Object Detection Technology
- Deep learning models empower our system to precisely identify visitors, staff, and cable car license plates in real-time video streams, even under varying lighting or long distances.
- Multi-Object Tracking (MOT)
- The system can accurately detect every object in the scene and assign it a unique identification ID for real-time tracking. This capability enables the system to precisely track the dynamics of each object in motion, whether in a cable car or in a dense crowd, and lock onto and track the movement trajectories of individual targets. Also, by tracking each object in real-time, the system can continuously gather and analyze data on passenger movements, offering deeper insights to enhance safety measures and improve operational efficiency.
- Real-time data processing and analysis
- The system adopts real-time data processing technology to quickly analyze image data, update passenger count statistics and crowd flow dynamics in real time, and provide real-time data support for operation management.
- Enhanced Safety Management: The system significantly enhances the ability to grasp the dynamics of passenger flow by accurately counting and tracking passengers in real time. This not only ensures passenger safety but also provides solid data support for rapid response in emergencies, effectively improving the overall safety management effectiveness.
- Optimizing operational efficiency: With accurate passenger flow data, the operations management team can formulate more reasonable cable car dispatch plans based on actual needs. This data-driven decision-making process can not only reduce passenger waiting times and improve service quality, but also significantly improve overall passenger satisfaction.
- Significant cost-effectiveness: By utilizing existing surveillance facilities, the system avoids the need to install additional new equipment, thereby reducing the cost of system upgrades. In addition, by optimizing operational processes and improving operational efficiency, the system also helps reduce unnecessary operational costs, achieving a significant improvement in cost-effectiveness.