Onboard Vehicle Camera Search for Missing Vehicle Detection
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Solution Overview
Problem
Traditional search methods for missing vehicles or people are time-consuming and inefficient, often leading to prolonged recovery times due to manual efforts and delays in data collection across vast areas.
Innovation Solution
A system that leverages vehicle data collection capabilities to dynamically configure and update client devices for specific tasks, using agents compatible with various vehicle operating systems to identify and transmit relevant data to emergency services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual search methods are used, then search operations can be performed with simple equipment, but search efficiency is low and recovery time is prolonged
Solution Approach 1:
The patent replaces manual mechanical search operations with an automated electronic system that uses vehicle-mounted cameras, image processing algorithms, and centralized server coordination to detect and report missing vehicles, dramatically improving search efficiency and reducing recovery time
Solution Approach 2:
The system enables vehicles to automatically perform search functions through onboard cameras and image analysis agents that continuously monitor and autonomously identify missing vehicles without requiring manual intervention, allowing the system to serve itself in the search operation
2Area of stationary object
If traditional data collection methods are used, then system complexity is minimized, but data collection coverage and speed are insufficient for vast areas
Solution Approach 1:
The patent makes ordinary vehicles serve multiple functions by equipping them with image collection capabilities and integrating them into a centralized search network, transforming them into mobile surveillance nodes that expand data collection coverage across vast areas without requiring dedicated search equipment
Solution Approach 2:
The system divides the large-scale search area into multiple zones covered by different vehicles, with each vehicle independently collecting data in its local area and the centralized server aggregating results, enabling parallel data collection across vast regions while maintaining manageable system complexity
3Measurement precision
If manual review of security footage is performed, then equipment requirements are simple, but information processing speed and accuracy are delayed
Solution Approach 1:
The patent replaces manual visual review of security footage with automated image processing agents that use computer vision algorithms to continuously analyze vehicle images, significantly improving both detection accuracy and processing speed by eliminating human reaction time limitations
Data Source
AI summary
Systems and methods are provided herein for using data collected by vehicles to complete tasks. For example, a service provider may receive a request for information related to a missing vehicle. The request may also include characteristics (e.g., license plate number, make, model, color, year, last-known location, etc.) related to the missing vehicle. The service provider may generate an agent associated with the request and send the agent to a plurality of vehicles. The plurality of vehicles may use sensors (e.g., cameras), the agent, and the characteristics of the missing vehicle, to identify information (e.g., images) relating to the missing vehicle. The plurality of vehicles may then send the information (e.g., images) relating to the missing vehicle to the service provider and the service provider generates a report using the received information.