Vehicle Image Tracking for Offline Dispatch and Bidding

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Solution Overview

Problem

Existing technologies fail to efficiently track vehicle operations and conduct business transactions in real-time, especially in areas with limited internet connectivity, and lack effective methods for automatic data acquisition and simultaneous communication across business segments.

Innovation Solution

The use of vehicle-carrying image processing methods, including capturing, transmitting, modeling, and interpreting images using electronic computing devices, to automatically gather and analyze operation information, and establish simultaneous and reciprocal communications for business processes through an embedded communication network.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If GPS or RFID is used for real-time location tracking, then location tracking capability is improved, but internet connectivity requirement and device cost increase

Engineering Contradiction:
Improvelocation tracking capabilityVSAvoidinternet connectivity requirement
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent uses image copying technology where cameras capture visual images of vehicles and their locations, then process these images to extract location information. This replaces the need for GPS/RFID hardware copies with optical image copies, eliminating internet dependency while maintaining tracking capability.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces electronic satellite positioning systems (GPS) and RFID electronic tags with an optical-mechanical image capture and processing system. Cameras and image processing algorithms substitute for electronic positioning hardware, enabling operation without internet connectivity.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If manual paper records are used for vehicle activity tracking, then device complexity is reduced, but productivity and business efficiency deteriorate

Engineering Contradiction:
Improvetracking system complexityVSAvoidbusiness efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The system enables self-service tracking where vehicles automatically capture their own images, and the image processing system automatically extracts location and activity information without manual intervention. This eliminates the need for operators to manually fill out paper records while maintaining simple hardware.

Inventive Principle:
Principle #25Self-service

3Device complexity

If sequential communication methods are used for business transactions, then communication infrastructure requirement is reduced, but loss of time in business operations increases

Engineering Contradiction:
Improvecommunication infrastructureVSAvoidbusiness transaction time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent implements a feedback mechanism where image data continuously flows back to the business management system, enabling real-time monitoring and automatic triggering of business transactions. This eliminates sequential waiting by creating a continuous information feedback loop that automatically initiates actions based on detected conditions.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary actions by pre-processing images and pre-identifying vehicles, locations, and activities before business transactions are needed. This preparation allows immediate transaction execution when conditions are met, eliminating communication delays.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12211254B2Vehicle dispatch and tracking based on vehicle-carrying image processing
Publication Date: 2025.01.28 LI SAISHI FRANK
  • US12211254B2 patent drawing
  • US12211254B2 patent drawing
  • US12211254B2 patent drawing

AI summary

Methods for business operation based on vehicle-carrying image processing by using an electronic computer device are presented, the methods include: causing the electronic computing device to capture, transmit, model and interpret the images; causing the business to operate based on the assembled information conveyed through the images; causing the automatic establishment of bid processes for business transactions. In some embodiments, methods further include: mapping the Quick Response (QR) codes to the classified objects; building and applying deep learning models for pattern recognition; building and applying an embedded communication network. In some embodiments, methods further include: determining the vehicle operation status and operation irregularities. In some embodiments, methods further include: causing the searches on the embedded communication network to generate inquiries and to establish bid processes. In other embodiments, a computing device program product for business operation based on vehicle-carrying image processing by using a computing device is presented.