I. Identity Verification and Dynamic Monitoring
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Multi-modal Identity Verification
- Students authenticate boarding/alighting via smart IC cards or facial recognition, with dual-mode flexibility for scenarios like peak-hour contactless passage .
- Verification speed: 0.3 seconds per person, with real-time photo capture and push notifications to parents (some systems include temperature screening) .
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GPS Real-time Tracking and Route Management
- Buses equipped with BeiDou + GPS dual-mode positioning modules. Parents and administrators can monitor live vehicle locations, estimated arrival times, and historical routes via WeChat or apps .
- Geo-fencing triggers alerts for route deviations or speeding, with voice prompts to drivers .
II. Parent and Management Features
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Parental Monitoring and Alerts
- Parents receive arrival reminders, boarding/alighting photos, and temperature data. Custom geo-fencing notifies them when students enter/exit designated zones .
- Stranded student alerts are sent to parents and drivers if students miss boarding or remain onboard post-trip 5][8.
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Data Analytics and Operational Optimization
- Admin dashboards auto-generate attendance reports (daily ridership, absentees) and operational metrics (punctuality, trip duration) with visualizations .
- Historical data optimizes routes, adjusts stops, and reduces idle driving via dynamic scheduling .
III. Example System Configuration
class SchoolBusSystem:
def __init__(self):
self.auth_mode = ["IC Card", "Facial Recognition"]
self.gps_module = "BeiDou + GPS Dual-mode"
self.communication = "4G/5G Wireless"
def parent_notification(self):
return {"type": "WeChat/APP Push", "content": "encrypted_data"}

IV. Performance Outcomes
- University Case Study: "Card + Facial Recognition" reduced peak-hour boarding time by 60% and parent wait times by 40% .
- Safety Improvement: Geo-fencing and (stranded alerts) cut regional school bus incidents by 92% .
(Note: Code examples illustrate logic; actual implementation requires hardware and protocol adjustments.)