School Bus AI Fleet Management Software

School Bus AI Fleet Management Software

Date Time: November 04, 2025
Reading volume: 10
Author: YUWEI

School Bus AI Fleet Management Software


Transform school bus fleets with cutting-edge IoT technology, empowered by artificial intelligence to achieve the triple value of real-time monitoring, safe commuting, and high parent satisfaction. YUWEI's IoT school bus solution integrates four core functions: real-time vehicle tracking, driver behavior analysis, predictive maintenance, and route optimization. It also builds a comprehensive safety protection network through professional hardware configuration, making it an ideal choice for fleet management companies pursuing refined operations.

 school bus fleet maintenance software

Hardware Configuration

As shown in the figure, school buses are equipped with various intelligent hardware devices, forming a complete system from environmental perception to behavior monitoring:

① ADAS (Advanced Driver Assistance System): Monitors road conditions ahead in real time, warns of collision risks, and provides active safety support for drivers.

② In-vehicle camera: Fully monitors the status of students on the bus, ensuring the safety and controllability of the riding environment.

③ Life probe: Accurately detects vital signs in the vehicle, eliminating the potential safety hazard of "students being left on the bus".

④ Cruise control: Assists drivers in maintaining a stable speed, improving driving stability and fuel efficiency.

⑤ Car exterior camera: Covers the surrounding vision of the vehicle, records external road conditions and pedestrian dynamics, and provides a basis for accident traceability.

⑥ DSM (Driver Status Monitoring System): Analyzes driver states such as fatigue and distraction in real time, and warns of unsafe driving behaviors.

⑦ Hosts (On-board host): Serves as the hardware hub, integrating data from all devices to realize intelligent decision-making and instruction output.

⑧ Display screen: Presents key information such as vehicle status and route planning to drivers in real time.

⑨ Facial recogniser: Accurately identifies student identities, records boarding and alighting dynamics, and ensures traceability of student commutes.

 

Core Functions: Hardware + Software Capabilities

1. Real-time Tracking and Notifications

Through the linkage of GPS devices and on-board hardware, the location and route of school buses are accurately tracked. Parents and school administrators can monitor vehicle dynamics at any time via exclusive applications, combined with facial recognition and in-vehicle/exterior camera data. They also receive automatic arrival notifications to ensure seamless commuting connections.

2. Driver Behavior Monitoring and Safety Analysis

ADAS + DSM + in-vehicle cameras form a "trinity" monitoring system. It detects behaviors such as speeding, sudden braking, and fatigue driving and issues immediate alerts. At the same time, it records detailed driver operations to provide data support for safety training.

3. Vehicle Health Monitoring and Predictive Maintenance

The on-board host collects key indicators such as engine performance, braking, and fuel in real time. Combined with hardware sensor data, it identifies potential fault risks in advance, reduces downtime, and fundamentally lowers operational costs and safety hazards.

4. Regulatory Compliance and Automated Reporting

Facial recognition, on-board cameras, and the host system automatically generate reports on driver working hours, vehicle inspections, student commuting records, etc., fully complying with regulatory requirements. Automated tools simplify processes and strengthen management accountability.

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