Method for detecting whether judicial robe wearing of judge on court is standard or not

By combining the YOLOv11-Pose and Fast R-CNN models with the DeepSORT algorithm, we achieved automated, real-time detection of judges' robes, solving the problem of irregular wearing of judges' robes, improving detection accuracy and stability, and enhancing the intelligent level of court management.

CN120748013AActive Publication Date: 2025-10-03BEIJING DONGFANG GUOZHENG INFORMATION TECH CO LTD
4 Cites 1 Cited by

Patent Information

Application Number
CN202511223855.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-29
Publication Date
2025-10-03
Estimated Expiration
2045-08-29

AI Technical Summary

Technical Problem

In existing technologies, the problem of judges wearing improper robes is difficult to be effectively and automatically detected, which affects the image and credibility of the court. Traditional manual supervision is inefficient and easily affected by subjective factors.

Method used

The YOLOv11-Pose human key point detection model and the FastR-CNN feature extraction and classification model, combined with the DeepSORT algorithm, are used to monitor the wearing status of judges' robes in real time. The shoulder patterns, judicial emblems, and tie areas are detected through a cascade classifier to generate a visual report.

Benefits of technology

It has achieved automated and real-time detection of judges' robes, improved the accuracy and stability of detection, reduced the burden of manual supervision, and enhanced the intelligent level of court management.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a detection method for standardizing whether a judge wears a forensic gown in a court or not, and belongs to the technical field of image processing. The method comprises the following steps: collecting pattern samples of a foul gown and key point data sets of a judge in different postures; a YOLOv11-Pose human body key point detection model and a FastR-CNN feature extraction and classification model are constructed and trained; acquiring image data in a fixed area of a court, and detecting a judge and key points thereof by using the trained YOLOv11-Pose human body key point detection model; cutting the detected judge region, and inputting the trained FastR-CNN feature extraction and classification model to carry out feature extraction and classification determination; and continuously monitoring the wearing state by adopting a DeepSORT algorithm. According to the method, the judge can be monitored in real time, and whether the legal gown wearing of the judge on the court meets the standard or not is detected in time.
Need to check novelty before this filing date? Find Prior Art