Elevated Object Detection in Parking Facilities
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing parking facility monitoring systems face challenges in accurately detecting elevated objects within driving paths, leading to potential collisions and inefficient operations due to false alarms and the inability to verify the reality of detected objects over time.
Innovation Solution
A method using at least two spatially distributed video cameras with overlapping visual ranges to record, analyze, and verify the presence of elevated objects by comparing rectified video images, checking for object speed, movement, classification, and dynamic properties, and determining the plausibility of detected objects through chronological image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional parking facility monitoring systems use stationary sensors to detect objects, then the system can locate vehicles within the parking area, but the system produces false alarms and cannot verify the reality of detected objects over time
Solution Approach 1:
The system uses multiple video cameras positioned at different locations to capture images of the same overlap area, creating a feedback mechanism where each camera's detection is verified by the others. The control unit compares images from multiple cameras to confirm object presence, eliminating false alarms through cross-validation feedback loops.
Solution Approach 2:
The patent introduces an intermediary verification process where the control unit acts as a mediator between the video cameras and the detection output. Instead of relying on single-camera detection, the control unit intermediates by comparing and validating detections across multiple cameras before confirming object presence, thus resolving the contradiction between detection sensitivity and false alarm reduction.
2Reliability
If the system uses multiple video cameras with overlapping visual ranges to detect elevated objects, then the system can verify object reality through chronological image analysis, but the device complexity increases
Solution Approach 1:
The video cameras serve multiple functions: they capture images for object detection, provide chronological sequences for verification, and create overlapping visual ranges for cross-validation. This multi-functionality reduces the need for separate verification systems, managing complexity while improving reliability.
Solution Approach 2:
The system uses multiple cameras to create redundant copies of the same scene from different perspectives. These image copies are then compared by the control unit to verify object reality. The copying approach allows verification through comparison without requiring complex additional hardware, as the redundancy is achieved through replicated sensing rather than complex processing equipment.
3Reliability
If the system analyzes video images in chronological succession to verify detected objects, then false alarms are reduced, but the processing time and complexity increase
Solution Approach 1:
The system continuously captures and stores video images in chronological succession before detection is needed. This preliminary action of continuous recording means that when an object is detected, the verification process can immediately access pre-captured chronological images without waiting for new data collection, reducing verification time while maintaining reliability.
Solution Approach 2:
The video cameras continuously record images in chronological succession, maintaining a continuous stream of useful data for verification. This continuous action ensures that verification can be performed rapidly by accessing the most recent chronological images, minimizing the time loss associated with verification while maintaining high reliability through ongoing monitoring.
Data Source
AI summary
A method for detecting an elevated object situated within a parking facility, using at least two video cameras that are spatially distributed within the parking facility and whose visual ranges overlap in an overlap area. The method encompasses the following: recording particular video images of the overlap area with the aid of the video cameras; analyzing the recorded video images in order to detect an elevated object in the recorded video images, and ascertaining, based on the recorded video images, whether in the detection of an elevated object the detected elevated object is real. A corresponding system, a parking facility, and a computer program are also provided.