33results about How to "Monitor behavior" patented technology

The invention discloses a method for monitoring passenger behavior based on machine vision, comprising the steps of: 1) collecting video images of passengers riding an escalator; 2) extracting deformable component model DPM features to describe passengers' faces; 3) using SVM to walk the escalator Passenger face detection; 4) Use KCF to track the face of the escalator passenger; 5) Use an improved nearest neighbor matching method to match the face detection and tracking results; 6) Establish a face target detection intensity model, correct the face Face detection results; 7) Monitor the behavior of passengers in the escalator by analyzing the passenger detection intensity, speed and speed direction. The method of the invention can detect and track the facial objects of passengers taking the escalator in a real-time, stable and accurate manner, and conduct behavior monitoring based on the facial object information.

The invention relates to a method for generating a ship track curve based on voluntary observation ship (VOS) data, in particular to a method for generating the ship track curve with a large number of discrete points. The method comprises the following steps: reading VOS; recognizing the voyage according to the VOS track points; arranging the VOS track point data; connecting the VOS track curves; correcting the connection of the track curves according to the obstacle-avoiding path design; generating the VOS track curve. Through adoption of the method, the problem that the ship track curve or ship route is extracted a little can be solved; the ship track curve generation method is provided; a large number of discrete VOS point data can be used for generating into a continuous ship track curve which is beneficial for mastering the regional marine traffic distribution conditions and monitor ship behavior so as to ensure the marine traffic security as well as providing decision-making reference for the marine administrative authority; the method is of great significance on protecting the life and property of people, protecting the marine environment and ensuring the national core strategic interests.

The invention belongs to the technical field of pollution monitoring, and discloses a ship real-time pollution monitoring system and method of a Beidou short message; it includes a ship embedded pollution data processing set system module, a Beidou satellite navigation system module, a shore-based data processing system module, and a system based on The index code table mode message module of Beidou short message. The invention uses the message function of the Beidou satellite navigation system to transmit the various pollution detection data of the ship to the two-way data transmission between the ship and the shore, realizes the integrated real-time monitoring of the ship and the shore, and satisfies the requirements of the shore-based management department or the company on various pollution gases or pollutants of the ship. The demand for real-time monitoring of liquid discharge has the effect of reducing polluted water and direct discharge of harmful gases while reducing marine environmental pollution and atmospheric environmental pollution during ship navigation. The invention effectively solves the problem that the crew or the shipowner do not discharge in accordance with the regulations of the International Maritime Organization (IMO) related pollution prevention convention (such as the MARPOL convention), which makes the pollution of the ship more serious.

The present invention discloses a system for legitimately monitoring the audio and video multimedia conference, including: a monitoring control terminal, a monitoring answer terminal, an application server and a media server, wherein, the application server is used to realize the processing logic of audio and video multimedia conference service and the legitimate monitoring; the medium service apparatus can be used to realize the media processing of the audio and video multimedia conference and the legitimate monitoring; and the monitoring control terminal can be used to initiate monitor indication and perform monitor management. The present invention also discloses a method for legitimately monitoring the audio and video multimedia conference, which realizes legitimate monitoring function by using the apparatus and function in the audio and video multimedia conference service. The present invention is suitable for audio and video multimedia conference in the field of NGN or IMS communications.

The invention discloses a ship engine room on-duty monitoring and alarm system and an alarm method. The ship's engine room on-duty monitoring and alarm system comprises: a main control box, a panel and a touch screen are arranged on the main control box, and a controller is arranged in the main control box; Remote reset device, connected to the controller, used to monitor the behavior of cabin personnel, and send the monitoring results to the controller; extended alarm, connected to the controller, the controller does not monitor cabin personnel at any monitoring position within the specified time behavior, the extended alarm is controlled to issue an alarm. According to the ship engine room on-duty monitoring and alarm system of the present invention, the problem in the prior art that the behavior of the on-duty personnel cannot be effectively monitored can be solved.

The present invention provides a method for predicting employee operational risks based on logistic regression, comprising: S1, collecting operational risk point list data and employee information data; S2, classifying the risk points in the operational risk point list data; S3, extracting Operational risk events and employee information data of various risk points form an operational risk data set; S4, label employees according to the occurrence of operational risk events; Preprocessing; S6, based on the employee label, establish a logistic regression model for each type of risk point; S7, use the employee information data in the operation risk data set of each type of risk point after data preprocessing to train the corresponding logistic regression model; S8, use The trained logistic regression model calculates the probability of employees having various operational risk events. The invention collects employee information data, monitors employee behavior, does not need manual on-site inspection, and reduces labor costs.

The present application discloses a terminal maintenance management method, device, equipment, and storage medium. The method includes: when the terminal is in an offline state, monitoring USBKey insertion and extraction events; if the monitored event type is a USBKey insertion event, determine the USBKey According to the determined permission type of the USBKey, the defense mode of the corresponding security function is automatically set to the monitoring mode, and the behavior of the maintenance personnel is monitored and the violation log is recorded. This application uses USBKey as the identity authentication method, and automatically sets the defense mode of the corresponding security function as the monitoring mode. When the network is unstable or the terminal fails, it can avoid the impact of the security mechanism on the emergency maintenance operation, and at the same time, it will not hinder the maintenance personnel on site. To prevent untimely maintenance from affecting the normal operation of the business system, and record violation logs for auditing and tracking.

The invention discloses a kernel-based Android application real-time behavior analysis method and a behavior analysis system capable for implementing the method. The method comprises a system call monitoring initialization step, a kernel system call interception monitoring and parsing step, a parsing result-based information logging step and an information log-based application behavior reconstruction step. A system call is intercepted and parsed in a kernel, so that an application file, a network as well as inter-process communication and other particular behaviors of the Android system are reconstructed; the whole behavior analysis process is monitored in real time in the kernel, so that the accuracy of behavior obtaining is guaranteed; meanwhile, the kernel has the highest authority, so that malware is hard to evade the kernel; according to the method, no code in the Android system is modified, so that the performance loss is low; practice proves that a result of the method can serve as key evidence to be obtained and provides a reference for malware detection.