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NEC: Passenger Movement Detection for Autonomous Vehicle

A high-performing and reliable solution leveraging
AI Video Analytics technology to improve the
in-vehicle passenger safety for autonomous vehicle.

As autonomous vehicles become central to the future of mobility, ensuring passenger safety inside these vehicles is more critical than ever.
NEC’s Passenger Movement Detection solution, delivered in partnership with ABM, introduces a powerful AI-driven video analytics system designed to detect passenger movement in real time and ensure rapid, reliable responses.

This advanced technology continuously monitors onboard activity, identifies unsafe or abnormal behavior, and supports operators with instant alerts—creating a safer, smarter, and more controlled autonomous travel experience.

Passenger Movement Detection Solution Description

A smart, AI-powered system that analyzes real-time passenger movement using high-accuracy video analytics. The solution detects actions such as standing, sudden movements, hands raised, or leaving seats to prevent potential risks and injuries.
By combining edge analytics, deep learning, and NEC’s proven inference models, the system ensures instant detection, minimal false alarms, and continuous safety assurance inside every autonomous vehicle.

Benefits

Enhanced Passenger Safety

Detects risky behavior instantly to help prevent accidents and injuries.

Proactive Incident Prevention

Automated alerts support fast response, helping operators intervene before an issue escalates.

High Accuracy & Reliability

Powered by NEC’s AI engine with 99% accuracy and 1% false-alarm rate, ensuring dependable monitoring.

Faster, Onboard Decision-Making

Edge analytics removes cloud latency, enabling real-time response even in low-connectivity environments.

Operational Visibility

Provides operators with actionable data for smarter fleet control and incident management.

1 - Real-Time Passenger Movement Detection
Our solution leverages Edge Analytics to process data directly on the vehicle device—eliminating dependence on cloud connectivity and bandwidth limitations. This ensures instant inference, enabling true real-time applications and immediate response to operational needs.
2 - Integrated Smart Functions
Seamlessly integrated with the NEC Fleet Management System installed in the onboard unit, offering: Instant alert dispatch for faster decision-making Automated people counting for enhanced operational visibility
3 - High Detection Accuracy
Advanced algorithms include precise bus position tracking and movement/stop detection to improve the reliability of human-motion recognition. These capabilities greatly reduce false alarms and deliver consistent, trustworthy results.
4 - Edge-Based Processing
All data is processed locally on the vehicle for faster response times without dependency on cloud connectivity.
5 - High-Quality Imaging
Equipped with high-resolution, wide-angle cameras, the system captures clear and comprehensive visual data. This ensures full-coverage imaging, supporting accurate analysis in all operational conditions.

Passenger Movement Detection for Autonomous Vehicle

Passenger Movement Detection
Passenger Movement Detection
Passenger Movement Detection - Smart airport
Passenger Movement Detection smart airport

Core features

01

Advanced AI Video Analytics

Deep-learning algorithms trained on real movement datasets analyze human motion with precision.

02

Edge Analytics for Real-Time Processing

Local computation boosts speed and reduces bandwidth dependency.

03

Integrated Alerts & People Counting

Built-in capabilities support fleet operations and real-time passenger tracking.

04

Position & Movement Validation

Vehicle tracking ensures context-aware analysis, minimizing false alarms.

05

High-Resolution Imaging

Wide-angle onboard cameras provide full visibility inside the vehicle cabin.

Airport Passenger Movement Detection Use Cases

Autonomous Airport Shuttle Buses

Ideal for airports adopting driverless mobility solutions.

How It Works:

  1. Detects passenger movement during the ride (standing, raised hands, seat departure, sudden motion).

  2. Sends real-time data to the backend system for monitoring.

  3. Alerts control-room officers to take immediate action—such as notifying passengers, slowing the shuttle, or stopping it—improving onboard safety and avoiding accidents.

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