Person Inspection System with Pre-Buffered Image Capture
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Solution Overview
Problem
Conventional metal detectors often fail to capture clear images of individuals carrying suspect items due to morphology, posture, or rapid passage, and require operator supervision, leading to incomplete or inaccurate identification.
Innovation Solution
A detector system with a gate and image capturing device that buffers images before and after detecting a suspect item, automatically recording and matching relevant images with detection data for immediate operator review, eliminating the need for real-time operator intervention and ensuring comprehensive identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera is located in the centre of the upper structure to frame the person, then the framing is correct, but the person may be missed or not captured clearly due to morphology, posture, or rapid passage
Solution Approach 1:
The system performs preliminary actions by continuously capturing and buffering images before the actual detection event occurs. This ensures that when a person triggers the detector, the system already has a sequence of images ready, capturing the person regardless of their speed, posture, or morphology, thereby resolving the contradiction between image quality and detection reliability.
Solution Approach 2:
The system creates multiple copies of the detection scenario by continuously capturing images in buffer memory. Instead of relying on a single critical moment capture, multiple image copies are stored, ensuring that at least one high-quality image is available for analysis, thus improving both image quality and detection reliability.
2Loss of time
If the camera takes pictures only when the detector detects something, then the recording is timely, but the person may not be clearly identified due to rapid passage or poor posture
Solution Approach 1:
The system performs preliminary image capture and buffering before the detection event. When the detector triggers, the system immediately accesses pre-captured images from the buffer, ensuring both timely response and high identification accuracy by selecting the best quality image from the buffered sequence.
Solution Approach 2:
The system dynamically adjusts the image selection process by evaluating multiple buffered images and selecting the one with the best quality metrics. This dynamic selection ensures optimal identification accuracy while maintaining rapid response time, as the system can quickly process and select from the pre-buffered image sequence.
3Measurement precision
If the operator manually matches images and detection data, then the identification is accurate, but the process is time-consuming and prone to errors
Solution Approach 1:
The system performs self-service by automatically matching detection data with buffered images and presenting the results without operator intervention. The system independently correlates the detection event with the appropriate buffered image, eliminating manual matching operations and their associated time losses and human errors, while maintaining high identification accuracy through automated data correlation.
Solution Approach 2:
The system implements feedback mechanisms where detection results automatically trigger the retrieval and presentation of corresponding buffered images. This closed-loop feedback system ensures accurate matching between detection data and images while minimizing processing time, as the system automatically correlates and presents relevant information without requiring operator intervention for matching.
4Reliability
If the system buffers images for a long period, then more relevant images are available, but the memory is wasted for non-suspect cases
Solution Approach 1:
The system applies local quality by maintaining different buffer characteristics for different operational states. During normal operation, the buffer maintains a standard retention period. When a detection event occurs, the system locally extends the buffer retention for that specific case, ensuring image availability for suspect items while avoiding prolonged memory usage for non-suspect cases, thus resolving the contradiction between reliability and memory efficiency.
Data Source
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AI summary
The invention concerns a method for inspecting a person by using a detector (100), the detector (100) including a gate (110) and an image capturing device (120) for imaging the person (P) passing through the gate (110), the method comprising: - imaging the person (P) when said person (P) is passing through the gate (110), - buffering the images taken by the image capturing device (120), and - detecting a suspect item (S), wherein the detection of a suspect item (S) sets off an automatic recording of relevant images among the buffered images corresponding to an interval of time starting before the detection of the suspect item (S) and ending after said detection, and wherein the relevant images and the data corresponding to the suspect item (S) detected during the detection step are automatically matched and sent together to an operator in a single output.