DEEP-LEARNING-BASED APPARATUS AND METHOD FOR MONITORING BEHAVIORAL NORMS IN JAIL

WIPO Patent Application WO/2022/022368

A1

Disclosed are a deep-learning-based apparatus and method for monitoring behavioral norms in a jail. The deep-learning-based apparatus for monitoring behavioral norms in a jail comprises: a people counting and detection module and a behavioral norm monitoring module, wherein the people counting and detection module comprises a target detection and segmentation process, and is used for imperceptible roll call of people and crowd density recognition; and the behavioral norm monitoring module comprises a training process of obtaining a classifier by using a training sample set and a recognition process of recognizing a test sample by using the classifier, and is used for performing real-time calculation and discrimination on behaviors of people. In this way, according to the present application, behavioral norm recognition can be effectively performed, regarding the requirements of a jail, on detainees, and abnormal behaviors are detected and alarms for same are provided, thereby reinforcing the security protection of the jail and improving the working efficiency of correctional officers.

YANG JINGXIANG (CN)
XU GEN (CN)
HUANG YEPENG (CN)
LV LI (CN)
WANG JU (CN)
XU GANG (CN)
XIAO JIANGJIAN (CN)

PCT/CN2021/107746

February 03, 2022

July 22, 2021

Click for automatic bibliography generation  

NINGBO PANOEYE INFO TECH CO LTD (CN)
NINGBO INSTITUTE OF MATERIALS TECH & ENGINEERING CHINESE ACADEMY OF SCIENCES (CN)

G06K9/00

CN108416254A	2018-08-17
CN109886085A	2019-06-14
CN109800665A	2019-05-24

NANJING LI&FENG INTELLECTUAL PROPERTY AGENCY(SPECIAL GENERAL PARTNERSHIP) (CN)

View/Download PDF      PDF Help

Previous Patent: METHOD FOR PREPARING HIGH-PURITY CRYSTAL

Next Patent: SUSTAINED-RELEASE FORMULATION OF TOFACITINIB OR SALT THEREOF AND PREPARATION METHOD THEREFOR