Teaching management system and method
A teaching management system and student technology, applied in the field of online education, can solve the problems of less contact time, students not paying attention to lectures, wasting time, etc., to reduce the probability of mismanagement, realize the evaluation of teaching situation, and achieve the effect of accurate teaching management
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0022] A teaching management system, said system comprising: a first image acquisition device, a second image acquisition device and a central controller; said first image acquisition device is used to collect the facial information of each attendance student; said second image acquisition device The acquisition device is used to collect the class state images of the students in attendance at set time intervals; the first image acquisition device and the second image acquisition device are respectively connected to the central controller; the central controller includes image recognition unit, a storage unit and a teaching evaluation unit; the storage unit is used to store photos of students; the image recognition unit is used to identify the face information in the images collected by the first image acquisition device and the second image acquisition device ; The teaching evaluation unit compares the face information collected by the first image acquisition device with the st...
Embodiment 2
[0025] On the basis of the previous embodiment, the image identification unit: an identification subunit, configured to identify the image sample using an image classification model, to obtain the image category confidence of the image sample; a retrieval subunit, configured to When it is determined that the confidence degree of the image category obtained by the recognition subunit is less than the first predetermined threshold, retrieve similar artificial recognition examples of the image sample, and artificially identify the target with the highest confidence in the similar artificial recognition examples. The recognition result of the recognition example is used as the recognition result of the image sample; the training subunit is used to train the image classification model according to the training samples in the training sample library; wherein the training samples include artificial recognition samples and a high-confidence image retrieval example; the high-confidence ...
Embodiment 3
[0027] On the basis of the previous embodiment, the first image acquisition device is embedded on the door frame of the classroom door, which includes a first acquisition unit and a first processing unit, and the first processing unit is connected to the image recognition unit The second image acquisition device is embedded in the wall above the podium, which includes a second acquisition unit and a second processing unit, and the second processing unit is connected to the image recognition unit.
[0028]Specifically, image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in various patterns. It is a practical application of deep learning algorithms. At this stage, image recognition technology is generally divided into face recognition and commodity recognition. Face recognition is mainly used in security inspection, identity verification and mobile payment; commodity recognition is mainly used in ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 

