Teaching management system and method based on face recognition
A teaching management system, face recognition technology, applied in the direction of character and pattern recognition, data processing applications, instruments, etc., can solve problems such as replacement of answers, long attendance time, etc., to achieve simple equipment, easy follow-up management, and save attendance time Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0055] A teaching management system based on face recognition, including a server, a camera and a volume detection device, the camera device adopts a camera, and the volume detection device adopts a sound sensor; figure 1 As shown, the server includes the following modules:
[0056] Face information entry module: used to enroll the face information of all students in the school and store it in the database;
[0057] Face recognition module: used to retrieve the face information of all students in the database, and perform face recognition on all students in the classroom through the camera device; as an existing technology, face recognition is widely used in various fields , there are many types of face recognition algorithms, including eigenface method, method based on elastic model, method based on neural network, etc. Among them, the method of eigenface was proposed by Turk and Pentland in the early 1990s, and it is the most popular and classic method at present. One of the ...
Embodiment 2
[0114] The difference between the second embodiment and the first embodiment is that the teaching management system based on face recognition also includes: a light sensor set on the center of the table surface on the seat, a pressure sensor set on the seat stool, and a broadcasting sound, such as figure 2 As shown, the server also includes the following modules:
[0115] Manual attendance module: used for manual attendance of students through fingerprint identification or QR code identification.
[0116] Attendance comparison module: it is used to compare the manual attendance results with the automatic attendance results, and confirm the students with different attendance results by voice roll call through the broadcasting sound.
[0117] Object recognition module: used to detect and identify the surface of the table on the seat through the camera device after class is over and when the data collected by the pressure sensor and light sensor on the seat is detected to change...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com