Autonomous Smart Car Public Service System

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current autonomous car technologies primarily focus on autonomous driving and lack the capability to utilize image information for finding missing persons or acquiring data at accident scenes effectively.

Innovation Solution

A system and method that enables autonomous smart cars to automatically drive, store and transmit image data with location information, recognize faces, and communicate with servers to identify missing persons, suspects, or wanted persons, and provide image data to public agencies upon request.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If autonomous cars focus only on autonomous driving functions, then the autonomous driving capability is improved, but the ability to provide public services such as finding missing persons and collecting accident scene data is worsened

Engineering Contradiction:
Improveautonomous driving capabilityVSAvoidpublic service capability
Core Design Contradiction:
Extent of automationVSAdaptability or versatility

Solution Approach 1:

The autonomous car system is designed to perform multiple functions beyond autonomous driving. The car includes cameras, facial recognition units, and communication systems that enable it to identify missing persons, collect accident scene data, and communicate with public agencies. This multi-functional design allows the same autonomous vehicle to serve both transportation purposes and public service purposes simultaneously.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Loss of information

If autonomous cars store and transmit all image data, then the completeness of image information is improved, but the communication load and data transmission requirements are worsened

Engineering Contradiction:
Improveimage information completenessVSAvoiddata transmission volume
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The system extracts only the essential and relevant image data for public service purposes. Instead of transmitting all captured images, the facial recognition unit identifies and extracts only those images containing faces that match missing persons, suspects, or wanted persons. Similarly, accident scene data is extracted and transmitted only when accidents are detected, significantly reducing the overall data transmission volume while maintaining information completeness for critical events.

Inventive Principle:
Principle #2Taking out (Extraction)

3Speed

If autonomous cars perform real-time facial recognition and data transmission, then the response speed for finding missing persons is improved, but the energy consumption and computational load are worsened

Engineering Contradiction:
Improveresponse speedVSAvoidenergy consumption
Core Design Contradiction:
SpeedVSUse of energy by moving object

Solution Approach 1:

The facial recognition and data transmission operations are performed periodically or event-driven rather than continuously. The system captures images at regular intervals or when specific events occur (such as detecting a potential match or an accident). This periodic operation mode reduces continuous computational load and energy consumption while maintaining the ability to respond quickly when relevant events occur.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS10796132B2Public service system and method using autonomous smart car
Publication Date: 2020.10.06 HANCOM INC
  • US10796132B2 patent drawing
  • US10796132B2 patent drawing
  • US10796132B2 patent drawing

AI summary

The present invention relates to a system and method for providing a public service using an autonomous smart car, wherein the apparatus and method are able to perform a public service using an autonomous smart car, and the system includes autonomous smart cars and an autonomous smart car managing server managing the autonomous smart cars.