Dashcam ANPR for Amber Alert Vehicle Detection
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Solution Overview
Problem
Current methods for Amber alerts do not effectively utilize dashcams for automated vehicle detection, leading to missed opportunities for quickly identifying and responding to suspicious vehicles.
Innovation Solution
Implementing advanced number plate recognition (ANPR) on dashcams with integrated processing circuits to continuously capture and analyze vehicle and license plate information, store historical data, and transmit relevant information to users and authorities upon Amber alert notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional Amber alert methods (text messages, radio, television) are used to broadcast suspicious vehicle information, then information can be disseminated to the public, but drivers cannot effectively utilize this information due to distraction and inability to memorize license plate details
Solution Approach 1:
The system performs preliminary actions by continuously capturing and storing license plate information from the environment before an Amber alert is issued. When an alert is received, the system immediately searches the pre-captured data for matches, enabling rapid response without requiring the driver to manually process alert information
Solution Approach 2:
The dashcam system acts as an intermediary between the Amber alert information and the driver. Instead of requiring the driver to directly process and remember license plate details from alerts, the system automatically captures, stores, and searches for matching plates, mediating the information flow and eliminating the need for driver memorization
2Reliability
If manual monitoring of Amber alert information by drivers is used, then drivers can potentially identify suspicious vehicles, but the process is inefficient and leads to missed detection opportunities
Solution Approach 1:
The system performs self-service by automatically capturing license plate information, storing it in historical data, and searching for matches when an Amber alert is received. This eliminates the need for manual driver intervention in the detection process, significantly improving both reliability and speed of suspicious vehicle identification
Solution Approach 2:
The system replaces the mechanical process of manual driver monitoring and memorization with an automated electronic system. The dashcam and processing circuit automatically capture, store, and search license plate information, substituting human cognitive processes with machine-based automation to improve detection efficiency
3Extent of automation
If advanced number plate recognition is implemented on dashcams with continuous capture and historical storage, then automated detection of Amber alert vehicles becomes possible, but the device complexity increases
Solution Approach 1:
The dashcam system is designed with multi-functionality, serving both as a standard dashcam for general use and as an automated Amber alert detection system. By integrating license plate capture, historical storage, and automated search capabilities into a single device, the system achieves high automation without requiring separate dedicated hardware for each function
Data Source
AI summary
An apparatus includes a camera and a processing circuit. The camera may be configured to capture images of an environment around a vehicle. The processing circuit may be configured to (i) perform automated number-plate recognition using the images, (ii) store a history of detected license plates, and (iii) search the history of detected license plates in response to receiving a request from a communication device of a vehicle user for information matching the request.


