Voice-Based Image Review for ALPR Data Entry
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Solution Overview
Problem
Current manual image review processes for Automatic License Plate Recognition (ALPR) systems are inefficient due to the need for users to switch focus between images and keyboards, leading to potential errors and increased costs in processing license plate data.
Innovation Solution
Implementing natural language processing (NLP) to allow users to speak keyword utterances associated with license plate images, which are then displayed as text on the screen, reducing the need for manual typing and enabling users to focus on image review rather than data entry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual typing is used for data entry during image review, then data can be entered into the system, but user productivity decreases and errors increase due to focus switching between image and keyboard
Solution Approach 1:
The patent replaces the mechanical typing action with voice-based speech recognition. Users speak license plate numbers and data are automatically entered into the system, eliminating the need for manual keyboard typing and allowing continuous focus on image review.
Solution Approach 2:
The patent introduces speech recognition technology as an intermediary between the user's verbal input and the system's data entry requirements. This intermediary converts spoken words into structured data, bridging the gap between natural human communication and system input requirements.
2Reliability
If manual typing is required for license plate data entry, then data can be captured, but review time increases and processing efficiency decreases
Solution Approach 1:
The patent substitutes the time-consuming mechanical typing process with rapid speech recognition. Users can verbally input license plate data much faster than typing, significantly reducing the time required for data entry while maintaining accuracy through speech-to-text conversion.
3Productivity
If users must type license plate data manually, then data entry can be performed, but error rates increase due to focus switching and manual input limitations
Solution Approach 1:
The patent replaces manual typing with voice-based input, allowing users to speak license plate numbers without the physical constraints of keyboard typing. This substitution maintains high data entry speed while improving accuracy by eliminating common typing errors and allowing users to focus entirely on verifying the captured data.
Data Source
AI summary
Methods and systems for manual-based image review can involve associating an image with a group of keyword utterances, the image displayable in a display screen of a computing device, the group of keyword utterances including different keyword utterances. A prompt for the user to utter a keyword utterance can be displayed in a first area of the image in the display screen and another prompt for the user to utter another keyword utterance can be displayed in another area of the image in the display screen. Audio of the keyword utterances displayed in the display screen can be captured and processed by natural language processing (NLP), when uttered by the user. The utterances can be displayed respectively as text in the first area and the other area of the image in response to processing by NLP of the audio. Thus, instead of users typing in the results and changing their focus between screen and keyboard, for example, the user can speak to the results, which increases the throughput of the results.