ADA900
Bus Passenger Counting Camera
STONKAM Bus Passenger Counting Camera uses built-in algorithms and deep learning technology to provide real-time passenger flow statistics. It helps public transportation operators improve scheduling efficiency, passenger flow analysis, and operational management.
Product Features
  • Intelligent Public Transport Management
    Connected to an MDVR to obtain real-time passenger flow data, enabling intelligent vehicle dispatching, passenger flow analysis, fare alerts, route planning, and other public transport management functions.
  • Built-in AI Algorithms
    AI algorithms are integrated directly into the camera. Compared with solutions that process algorithms on the MDVR, this design significantly improves detection accuracy and frame rate, achieving up to 30 fps and 98% accuracy.
  • Alarm Output
    Supports alarm output and can send alerts to a monitor or MDVR in cases such as vehicle overloading or passenger congestion at boarding and alighting doors, strengthening passenger flow management and helping prevent safety incidents.
  • Flexible Fleet System Integration
    Integrates with AI Dashcam, MDVR systems, and standard communication protocols for centralized video management and convenient deployment.
Product Features
Product Highlight
Intelligent Passenger Flow Statistics
Intelligent Passenger Flow Statistics
The Bus Passenger Counting Camera applies deep learning technology to recognize and track passengers in real time, providing accurate passenger flow data for public transportation management.
Built-In Algorithm with High Accuracy
Built-In Algorithm with High Accuracy
The algorithm is integrated directly into the camera, enabling faster processing and improved detection performance.
  • Algorithm frame rate reaches 30 fps
  • Detection accuracy can reach up to 98%
Intelligent Passenger Flow Management
Intelligent Passenger Flow Management
The system can connect with MDVR systems to obtain passenger data and support smarter transportation operations.
  • Supports intelligent vehicle scheduling
  • Enables passenger flow analysis and route planning
  • Supports fare evasion warning applications
Passenger Flow Alarm Function
Passenger Flow Alarm Function
The camera supports alarm output when abnormal passenger flow conditions occur, helping operators respond to potential safety risks.
  • Supports overloading alarms
  • Provides warnings for crowded boarding and alighting situations
  • Sends alarms to displays or MDVR systems
Applications
STONKAM Bus Passenger Counting Camera is suitable for buses, coaches, school buses, subways, and trains. It helps operators improve passenger flow management, optimize scheduling, and enhance transportation efficiency.
Public Transportation 1 Public Transportation 1
Public Transportation 2 Public Transportation 2
Public Transportation 1
Public Transportation 2
Frequently asked questions
  • What is the STONKAM Bus Passenger Counting Camera used for?
    It provides real-time passenger flow statistics to improve vehicle scheduling, analysis, and public transportation management efficiency.
  • How does the Bus Passenger Counting Camera count passengers?
    It uses AI algorithms and deep learning technology to recognize and track passengers for accurate real-time counting.
  • What is the advantage of the built-in algorithm design?
    The built-in algorithm enables fast and accurate counting with up to 30 fps processing and 98% accuracy.
  • Does the system support passenger flow alarms?
    Yes. It supports overload and crowded area alarms, with alerts sent to connected displays or MDVR systems.
  • Can the camera be used independently?
    Yes. It can work with a monitor independently or connect to MDVR for advanced passenger flow management.
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With STONKAM you can:
  • Comply with industry rules and regulations.
  • Identify risks and automate driver coaching.
  • Improve visibility and automate operations.
  • IATF 16949:2016
  • UN ECE R151
  • UN ECE R156
  • ISO 9001:2015
  • UN ECE R158
  • UN ECE R10
  • ISO 26262:2018
  • UN ECE R159
  • UN ECE R118
  • ISO/SAE 21434:2021
  • UN ECE R46
  • EU 2021/1341
  • GB 15084-2022
  • UN ECE R155
  • EU 2023/2590
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