Method and apparatus to recognize transported passengers and goods
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Solution Overview
Problem
Current methods for identifying passengers and goods in vehicles, especially autonomous vehicles, require stopping and manual inspection, which is inefficient and challenging for autonomous systems.
Innovation Solution
A vehicular communication system that includes a processor unit, internal wireless communication components, and memory to store and transmit real-time information about passengers and goods using encrypted data, utilizing public and private keys for secure communication and verification through a DICE-RIoT protocol, enabling secure and efficient identification at checkpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to identify passengers and goods, then identification accuracy is improved, but inspection time and operational efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated optical detection system. Image capture devices (cameras) automatically capture images of passengers and goods, and image processing units automatically analyze these images to identify objects, eliminating the need for manual inspection while maintaining identification accuracy.
Solution Approach 2:
The system enables self-service identification where the vehicle's own imaging and processing systems automatically perform the identification task without external human intervention. The processor autonomously analyzes captured images and generates identification results, making the system self-sufficient for the identification function.
2Reliability
If manual inspection is implemented for autonomous vehicles, then passenger and goods verification is improved, but system complexity and operational difficulty worsen
Solution Approach 1:
The patent extracts the identification function from the complex autonomous vehicle control system by implementing a dedicated, separate image capture and processing subsystem. This modular approach isolates the verification function, making it easier to implement and maintain without increasing overall system complexity.
Solution Approach 2:
The image capture and processing system serves multiple functions: identifying passengers, identifying goods, and providing visual records for verification. This multi-functional approach consolidates several verification tasks into a single system, reducing overall complexity rather than increasing it.
3Reliability
If continuous monitoring of passengers and goods is implemented, then safety is improved, but energy consumption and processing load worsen
Solution Approach 1:
The system performs periodic image capture and processing at specific intervals or triggered by specific events (such as vehicle stops or checkpoint approaches) rather than continuous monitoring. This periodic operation reduces energy consumption and processing load while still maintaining safety through regular updates of passenger and goods information.
Data Source
AI summary
A method and apparatus to recognize transported passengers and goods are disclosed herein. One example includes an apparatus comprising a processor unit on a vehicular entity, a communication component coupled to the processor unit, and a memory portion associated to the processor unit and structured to store information and data received through the communication component about at least one of passengers, luggage and/or goods on the vehicular entity, with the communication component being activated by a presence of the at least one of the passengers, luggage and/or goods on the vehicular entity.