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AWS

SmartBus Vision

AI-Based Passenger Boarding & Alighting Counting System

SmartBus Vision
This project was built to transform the existing passive mobility environment into a data-driven intelligent system. SmartBus Vision is a smart mobility automated counting solution that combines high-performance cameras optimized for bus interiors with TOSKY's proprietary video analytics algorithms to read passenger movement patterns ahead of time. Beyond simple headcounting, deep learning-based AI detection technology precisely calculates boarding and alighting passengers at sub-second real-time intervals. The accumulated data transforms into big data assets that enable multi-dimensional analysis of boarding patterns by time, route, and stop. The real-time computed data is designed to interface with an immediate in-vehicle congestion monitoring system, enabling intuitive identification of passenger density zones and inflow patterns. TOSKY's intelligent system overcomes the limitations of traditional manual counting that transit operators and drivers have faced, dramatically reducing workload. Furthermore, by enabling flexible dispatch adjustments and route optimization based on data, the system builds a mobility ecosystem that not only reduces operational costs but also enhances the public transit experience by providing passengers with comfortable and accurate dispatch information.

Key Features

  • 01

    AI Object Recognition Counting

    Precisely identifies and automatically counts boarding and alighting passengers at one-second intervals using high-performance cameras and algorithms

  • 02

    Real-Time Congestion Visualization

    Calculates analyzed density data into 4 levels and immediately provides intuitive information to administrators and passengers

  • 03

    Route Optimization Big Data

    Analyzes boarding patterns by route and time to support efficient dispatch strategy formulation and operational decision-making