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
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Monitor cargo compartments continuously to improve loading transparency, enhance operational awareness, and support more efficient transportation management.
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Analyze cargo occupancy and available space to help maximize loading capacity, reduce empty space, and improve fleet operating efficiency.
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Detect pedestrians or abnormal activity inside the cargo compartment and provide timely alerts to help reduce cargo theft and transportation risks.
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Integrates with AI Dashcams, MDVR systems, and standard communication protocols for centralized video management and seamless deployment.
Product Highlight
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
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
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
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.
Frequently asked questions
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It provides real-time passenger flow statistics to improve vehicle scheduling, analysis, and public transportation management efficiency.
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It uses AI algorithms and deep learning technology to recognize and track passengers for accurate real-time counting.
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The built-in algorithm enables fast and accurate counting with up to 30 fps processing and 98% accuracy.
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Yes. It supports overload and crowded area alarms, with alerts sent to connected displays or MDVR systems.
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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
STONKAM® serves business customers only. Please use a company email and provide your country/region. Non-business inquiries may not be processed.
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