Remote Video Monitoring System Research Articles

Design and implementation of an automated baby monitoring cradle

AbstractEver increasing global birth rate, increased working women ratio and innovative technologies motivate the engineering society to introduce novel ideas for the baby caring. Considering this, we present hardware implementation of an automatic cradle for smart and remote monitoring. In contrast to previous implementations, we present the design insights such as swing angle, required force and torque, arc length and speed of the cradle for the first time in the literature. Furthermore, to make the cradle more comfortable and smooth swing, we introduce a novel Slider Crank Mechanism to control the cradle swing for the first time in the literature. This provides flexibility, and improved energy efficiency, while maintaining controlled and predictable reciprocating motion. The proposed solution is equipped with a number of technological features, that is, cry detection based swing, collision avoidance, WiFi based remote video monitoring, wet detection and baby health monitoring system.

Remote telemonitoring is associated with improved patient safety and decreased workload of nurses

ObjectiveThere is significant interest in exploring new technologies to improve efficiency and work-life quality for nurses. We aimed to evaluate the impact of a remote video monitoring (RVM) solution that provides continuous in-hospital patient audio-video (AV) monitoring by technicians. MethodsThe RVM system that we developed, consisting of 2-way AV communication and a continuous O2 saturation monitoring device, has been deployed in all inpatient units within our hospital network, including 3 acute care hospitals and 2 rehabilitation facilities. Data were collected before and after implementation on safety measures including fall rates and adverse events, along with device utilization and number of escalation events requiring nursing intervention. Nurse job satisfaction was assessed with surveys. ResultsData were collected from April 2020 to May 2022. A total of 2087 patients were monitored at 5 hospital sites. The technicians identified 54,716 safety concerns that required them to intervene remotely and address with the patient. Of these, 46,289 required escalation of nursing staff, who were called to the bedside through the RVM alerting technology. Importantly, 8427 safety concerns were managed solely by the technicians without the need for nursing intervention, resulting in 8427 avoided nursing visits to the bedside. The surveyed nurses reported that the RVM technology provided reassurance that additional support was available to assist them in managing their patients. Patients and their families also expressed high degree of satisfaction. Since implementation, the rates of falls and other adverse events have been reduced, with the greatest impact in patients on high-flow oxygen. Code blue and mortality rates decreased from 7% to 1%. ConclusionsThe use of RVM has proven to be a successful innovation at our hospital and has led to improved patient safety. RVM was able to reduce 8427 individual nurse visits to the bedside, allowing nurses to manage the care of patients more effectively while improving both patient and staff satisfaction.

THE METHOD OF SEGMENTATION OF THE IMAGES IN THE REMOTE VIDEO MONITORING SYSTEM BASED ON THE K-MEANS ALGORITHM

The configuration of the video monitoring system, which is widely used in the protection systems of objects and positions of units, is given. Examples of the collision line video monitoring system are given, namely: the video monitoring system of the special monitoring mission of the Organization for Security and Cooperation in Europe and the battalion video surveillance complex. An analysis of known methods of image segmentation in video monitoring systems has been carried out. The analysis showed that these methods do not meet the requirements for the quality of image segmentation in the video monitoring system. The image segmentation method in the remote video monitoring system has been improved, in which, unlike the known ones: the source image is divided into RGB brightness channels; determination of the Euclidean distance between pixels; division of the entire set of image pixels into subsets; recalculation of “centers” of each subset; reassignment of new “centers” of each subset; minimization of total intra-cluster variance. Experimental studies of image segmentation from the remote video monitoring system were conducted. The image from the video monitoring system on the contact line during hostilities during the russian-ukrainian war is used as the source image. The segmentation results of this source image are given. It was established that there is a visual possibility of identifying objects of interest on segmented images. At the same time, it is possible to visually determine the elements of the protective cape only at k=4, while at k=2 and k=3 this possibility is complicated. The directions of further research are the determination of the optimal value of the value k when using the k-means algorithm and the evaluation of the quality of image segmentation in the remote video monitoring system.

Adaptive GW Relocation and Strategic Flow Rerouting for Heterogeneous Drone Swarms

A drone swarm is a robotic architecture having multiple drones cooperate to accomplish a mission. Nowadays, heterogeneous drone swarms, in which a small number of gateway drones (GWs) act as protocol translators to enable the mixing of multiple swarms that use independent wireless protocols, have attracted much attention from many researchers. Our previous work proposed Path Optimizer — a method to minimize the number of end-to-end path-hops in a remote video monitoring system using heterogeneous drone swarms by autonomously relocating GWs to create a shortcut in the network for each communication request. However, Path Optimizer has limitations in improving communication quality when more video sessions than the number of GWs are requested simultaneously. Path Coordinator, which we propose in this paper, achieves a uniform reduction in end-to-end hops and maximizes the allowable hop satisfaction rate regardless of the number of sessions by introducing the cooperative and synchronous relocation of all GWs. Path Coordinator consists of two phases: first, physical optimization is performed by geographically relocating all GWs (relocation phase), and then logical optimization is achieved by modifying the relaying GWs of each video flow (rerouting phase). Computer simulations reveal that Path Coordinator adapts to various environments and performs as well as we expected. Furthermore, its performance is comparable to the upper limits possible with brute-force search.

Coding and Decoding Optimization of Remote Video Surveillance Systems

In order to solve the problems of high distortion rate and low decoding efficiency of the decoded video when the current coding and decoding methods are used to encode and decode the remote video monitoring system, considering the local area network, research on the optimization method of the coding and decoding of the remote video monitoring system is proposed. The local area network is used to collect image information, to process, and to output the image information. By preprocessing the remote video monitoring system, the low frame rate remote video monitoring system is decoded in parallel. The motion information of the lost frame is estimated to realize the fast coding and decoding of the remote video monitoring system. The experimental results show that the proposed method has low distortion rate and high decoding efficiency and has high practical value.

Remote video monitoring for offshore sea farms: Reliability and availability evaluation and image quality assessment via laboratory tests

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p class="Abstract">In this article, the availability and reliability of a remote video monitoring system for offshore sea farming plants are studied and tested in laboratory. The scope of the system is to ensure a video surveillance infrastructure so to supervise breeding cages along with the fish inside them, in order to contrast undesired phenomena like fish poaching as well as cages damages. The system is installed on a cage floating structure: it is mainly composed of an IP camera that is controlled by a Raspberry Pi Zero which is the core of the system. Images are streamed thanks to a 3G/4G dongle, while the overall system is powered via two photovoltaic panels charging a backup battery. Simulations are carried out considering two seasonal functioning periods (i.e., winter and summer): each of them is characterised by temperature trends defined according to the average temperatures of the system deployment site, 8 km offshore the city of Piombino, Italy. In order to optimise power consumption without hindering application scenario requirements, the system operates according to a duty cycle of 2 minutes out of 15 (i.e., 8 minutes of operation per hour). The performances of the system are then tested in laboratory exploiting a climatic chamber so to simulate different environmental conditions: variations on image quality are then analysed in order to identify possible dependencies on critical situations related to specific temperature and relative humidity values and to the presence of salt in the air.</p></div></div></div></div>

Application of remote video monitoring system in transmission line construction

XX power supply company creatively uses the remote video monitoring system in the transmission line for real-time online monitoring. Through the remote wireless video monitoring system, construction site supervisors carry portable handheld terminals to realize real-time monitoring of the whole process of the construction line and play an auxiliary role in project management.

Optimization algorithm for embedded Linux remote video monitoring system oriented to the internet of things (IOT)

At present, the remote video monitoring system has the problem of weak anti-interference ability and poor response of the system. Therefore, the video image is not clear. On the basis of the Internet of things (IOT), a design method of embedded Linux remote video monitoring system is proposed. The method is based on ARM+Linux development platform, the 301V USB camera of Vimicro is used to collect images, to make preprocessing, and improve the system's response. The embedded Linux operating system is used to realize the functions of data acquisition and transmission of video image. The fractal wavelet of multivariate statistical model is used to denoise the video image so as to improve the anti-interference of the system. The experimental results show that the method has strong anti-interference ability and good response to the system.

5-10 部分領域画質制御による遠隔映像モニタリング方式の検討

5-10 部分領域画質制御による遠隔映像モニタリング方式の検討

Research of Embedded Remote Video Monitoring System Based on iMX6DL

Research of Embedded Remote Video Monitoring System Based on iMX6DL

Design of ITLMS In-transit Logistics Monitoring System

A design of in-transit logistics remote video monitoring system is proposed based on cotex-A8 processor hardware and Android software systems platform, by the terminal USB infrared camera driver transplant, video streaming H.264 codec, and 3G wireless transmission network, the in-transit logistics remote video monitoring real-time display is achieved, which can prevent the loss of goods and cargo in logistics process and be served as the evidence for the responsibility distinguishing in the event of goods damage. Managers and customers can track the transport status of goods by computer or mobile phone in real-time, and provide better service to customer, therefore enhance the competitiveness of logistics enterprises.

Design Scheme of Remote Monitoring System Based on Qt

This paper introduces a design scheme of remote monitoring system based on Qt, the scheme of remote monitoring system based on S3C2410 and Qt, with the aid of cross platform development tools Qt and powerful ARM platform design and implementation. The development of remote video surveillance system based on embedded terminal has practical significance and value. This paper introduces a design scheme of remote monitoring system based on Qt. The remote monitoring system designed in this paper is based on the platform of cross platform development tools Qt and powerful ARM platform. Its practicability and good stability and ease of operation gradually become an indispensable part of embedded devices. The development of remote video surveillance system based on embedded terminal has practical significance and value. According to the principle of the Qt and S3C2410 remote video monitoring system, the remote monitoring system based on Qt is designed and realized.

Remote Video Monitoring System Based on ARM9

The design introduced in the ARM9 Linux embedded system using USB camera for remote video surveillance. Using TCP / IP protocol as a transport medium and routers connected via video stream ordinary unshielded twisted pair, combined with peanut shell DDNS (Dynamic Domain Name System) using remote video surveillance, improve usability and adaptability of the system.

Program Design of Internet-Based Remote Video Monitoring System of Coal Mining Enterprises

In the production of coal, once an mine accident happens, timely monitoring and management are need, in order to ensure communication and rescue work. Using remote video monitoring system, ground or central monitoring personnel can conduct current-time underground monitoring, and can find potential accidents before they occur; in addition, personnel can monitor and record intuitively the safety production in underground work site . This paper begins with an overview of the coal mining enterprise remote video monitoring requirements, discusses the overall design, modules formation and implementation of Internet-based remote video monitoring system of coal mining enterprises programs, and finally presents the development and application of Internet-based remote video monitoring system of coal mining enterprises.

Efficient Remote Video Monitoring for Industrial Environment based on LPC2148 and GSM

Remote video monitoring system is one of the most important occasions for the entire industrial environment for security purpose through wireless networking. Wireless monitoring systems are used in many areas, especially for surveillance, monitoring and controlling the industrial operations. In day to day life, new technologies are arising for the purpose of industrial developing process in addition it needs the security system for maintenance. The main purpose of the proposed system is to protect the industries from risky situations. This system proposes a real time video monitoring device to detect the intruders which is based on ARMLPC2148 processor. Even so lots of video monitoring technology was available, but the integral system does not have the ability of perfect communication strategy. This work proposes an efficient system for monitoring the industrial environment by using a wireless camera to seize the video. When the ultrasonic sensor detecting the occurrence of the intruders or dynamic obstacle, instantly the Zigbee (CC2500) triggering the camera for video capture and GSM for sending SMS alerts to superior mobile for preventing the hazardous situation. The overall system performance is meliorating by using this technique and provides less power consumption, scalability, reliability and cost effective.

Remote Video Web Monitoring System Design of Port Coastal Ships Based on UDP

In order to improve the monitoring efficiency of port coastal ship, and improve the ability of coastal management, the port coastal ships web remote video monitoring system is designed and realized. The GPRS/UDP technology is used to transmit the ship videos to the server in real time. The client terminal and visual monitoring terminal are established, and the ship monitoring personnel can enter the WEB monitoring platform with different permissions. The network browse module, scheduling module, monitoring terminal module are designed, the port coastal ships video data are monitored and processed, the automatic alarm module based on the density ratio is designed. The intelligent early warning of port coastal ships density is obtained. The application experiment is implemented on the port coastal entrance, experiment results show that this system can realize the remote video Web monitoring of ships and intelligent early warning, and it has good effect in application.

Remote Viewing Image Mosaic based on Fuzzy Cellular Automata Corner Detection in Substation

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata corner detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly the corner feature points are extracted by corner detection method based on geometry feature of corner; thirdly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the corner feature points; finally the images can be stitched by matched corner feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.

Wireless Network Video Collection and Transmission Based on ARM

Wireless video collection and transmission system has been widely used in many remote video monitoring system and portable equipment. This system was to use S3C2440 as the main control chip, through the Z301P for camera collection video, and through the wireless network card RT3070 chips for video wireless transmission. We uploaded collected video to Mozilla Firefox, and then wireless network video collection and transmission system was built quickly.

Monitoring System Design for Ships Network

This paper designs a Vessel Remote Video Monitoring System based on internet protocol. The system uses positioning and network transmission technology to transmit real-time images of ships offshore to the server, to set up the client and visual monitoring ends. Ships monitoring personnel enter WEB monitoring platform with different permissions, to monitor and process ships image data through the network view, scheduling, monitoring terminals and other system modules. It also adds density ratio-based automatic alarm module to realize the intelligent early warning of offshore Ships density. Experiments show that the system has a better result to achieve vessel images' intelligent remote monitoring and early warning.

Substation Remote Viewing Image Mosaic Based on Fuzzy Cellular Automata Detection

In order to improve the effect of remote video monitoring system, a new image mosaic technology based on fuzzy cellular automata detection is presented. Firstly, the edge feature points from two images are extracted by fuzzy cellular automata; secondly, the corresponding feature point pairs are got by the cross-correlation of the gray scale around the edge feature points; finally the images can be stitched by matched edge feature point pairs. The experiment of remote viewing image mosaic in substation shows that this method can achieve image mosaic effectively and it will be benefit to improve the safety and reliability of substation operation.