Face Detection System Thumbnail Time-Series Visualization
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Solution Overview
Problem
Existing face detection systems are inefficient in visualizing face images and their corresponding capture times within video data files, requiring users to manually review each file and lacking support for infrequent appearances.
Innovation Solution
A face detection system comprising a terminal device and a server that acquires video data, converts it, detects faces, generates face-cut images, and associates capture time information, displaying thumbnails with capture times in a time series for efficient monitoring and investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review each video data file to confirm image capturing time points, then they can obtain accurate capture time information, but the process becomes considerably complicated and time-consuming
Solution Approach 1:
The system segments the video data processing by extracting individual face images from video files and associating each with its capture time point. This segmentation allows the terminal device to display multiple face images with their respective time points simultaneously, eliminating the need for users to manually review entire video files sequentially.
Solution Approach 2:
The system creates thumbnail copies of face images extracted from video data and displays these thumbnails alongside their capture time information. Users can confirm capture times by viewing these thumbnail copies rather than reproducing and reviewing the original video files, significantly reducing the time required while maintaining accuracy.
2Ease of operation
If the system only presents frequent appearances of persons, then it simplifies the monitoring process, but it fails to present persons who appear infrequently
Solution Approach 1:
The system is designed to handle both frequent and infrequent appearances of persons within the same operational framework. By displaying all detected face images with their capture time points in chronological order, the system provides universal functionality that adapts to different monitoring needs without requiring separate processes or configurations.
Solution Approach 2:
The system dynamically adapts to different monitoring scenarios by allowing users to review all detected face images regardless of frequency. The chronological display arrangement enables flexible review of both frequent and infrequent appearances, making the system versatile for various monitoring requirements while maintaining operational simplicity.
3Loss of information
If the system displays only face image groups without time series arrangement, then it presents main persons captured on video files, but it cannot efficiently support monitoring services requiring time-based analysis
Solution Approach 1:
The system adds a temporal dimension to the face image display by arranging face images in chronological order based on their capture time points. This dimensional transformation from simple grouping to time-series arrangement enables efficient time-based analysis while preserving all face image information, significantly improving monitoring service productivity.
Data Source
AI summary
A face detection system includes a terminal device and a server communicably connected to the terminal device. The terminal device acquires a recorded video data file selected by user operation and transmits it to the server. The server converts the received recorded video data file into recorded video data having a predetermined format, detects a face of one or more persons based on the converted recorded video data, generates one or more face-cut images by cutting out a region of the detected face, associates information of an image capturing time point at which a person corresponding to the face cut-out image is captured with the face cut-out image, and transmits the associated information to the terminal device. The terminal device displays a thumbnail image of the received face cut-out image and information of the image capturing time point side by side in a time series on a monitor.