Automatic Stop Arm Violation Detection Using Dynamic Image Analysis
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Solution Overview
Problem
Current record detection systems for stop arm violations require manual review of digital video data, consuming significant manpower and time, as they lack automation in identifying and recording violation events.
Innovation Solution
An automatic record detection device and method that uses image fetching units, an analog-to-digital converter, a processor unit, and a storage unit to detect dynamic images based on a set sensitivity value, triggering and recording violation events, thereby reducing the need for manual review and enabling efficient license plate number identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of digital video data is used to detect stop arm violations, then the system can identify violating vehicles, but it requires huge amount of manpower and is time-consuming
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated image processing system. The processor unit automatically analyzes digital video data by comparing consecutive images, detecting dynamic objects, and identifying violating vehicles through algorithmic processing rather than human review, thereby eliminating the time-consuming manual inspection while maintaining detection accuracy
Solution Approach 2:
The system performs self-service by automatically detecting and recording violation events without human intervention. The processor unit autonomously compares images, identifies dynamic objects, determines violations based on preset conditions, and records the data, making the system self-sufficient in the violation detection process and eliminating the need for manual manpower
2Measurement precision
If manual review of digital video data is used to detect stop arm violations, then the system can identify violating vehicles, but it requires huge amount of manpower
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated image processing system. The processor unit automatically analyzes digital video data by comparing consecutive images, detecting dynamic objects, and identifying violating vehicles through algorithmic processing rather than human review, thereby eliminating the time-consuming manual inspection while maintaining detection accuracy
Solution Approach 2:
The system performs self-service by automatically detecting and recording violation events without human intervention. The processor unit autonomously compares images, identifies dynamic objects, determines violations based on preset conditions, and records the data, making the system self-sufficient in the violation detection process and eliminating the need for manual manpower
3Productivity
If automatic detection based on sensitivity value is implemented, then time and manpower are reduced, but the system complexity increases
Solution Approach 1:
The patent replaces the manual mechanical review process with an automated image processing system. The processor unit automatically analyzes digital video data by comparing consecutive images, detecting dynamic objects, and identifying violating vehicles through algorithmic processing rather than human review, thereby eliminating the time-consuming manual inspection while maintaining detection accuracy
Solution Approach 2:
The system achieves multi-functionality by integrating multiple capabilities into a single automated platform: image fetching, analog-to-digital conversion, dynamic object detection, violation determination, and data recording. This consolidation of functions into one system improves productivity while managing complexity through integrated design rather than separate systems
Data Source
AI summary
An automatic record detection device and method for stop arm violation event, comprising: a plurality of image fetching units, to fetch external video signals; at least an analog-to-digital converter, to process said external video signal into digital data; a processor unit, to detect dynamic images of said digital data based on a set sensitivity value, when said set sensitivity value of said dynamic image of a violating vehicle fulfills an image block number, it determines said dynamic image to trigger a violation event, then generates said digital data based on said external video signal. As such, a user can search said dynamic images of said digital data by examining said triggered violation event, to find out license plate number of a violating vehicle, and sends it to an agency concerned for prosecution, thus saving enormous time and manpower in viewing and searching through said digital data.


