Alarm System
Recently Published Documents


TOTAL DOCUMENTS

1264
(FIVE YEARS 514)

H-INDEX

27
(FIVE YEARS 10)

2021 ◽  
Author(s):  
Vinita Sankla ◽  
Savitanandan Patidar ◽  
Vishal kushwaha ◽  
Ashish Bagwari ◽  
Rahul Tiwari ◽  
...  

Abstract COVID-19 is one of the most dangerous viruses which caused a pandemic in human life, not only in terms of direct casualties but also regarding socio-economic impact. The outbreak quickly spread around the world. The 1st anniversary of the global Corona virus pandemic gets passed away in 2021, but still, no way to tell how long the pandemic will continue. After analyzing a report by WHO of covid-19, to minimize the rate of covid-19 transmission, our national government advised citizens to wear face masks. A model using deep learning and MobileNetV2 for face mask detection is presented. This method was trained and checked on the real-time dataset. There are 3,833 images in the Medical Masks Dataset, including 1918 images of people wearing no mask and 1915 images of people wearing masks. We adopted OpenCV to detect faces in real-time from a live stream captured with our webcam. With the aid of computer vision and deep learning, we hope to classify whether or not the person in the video stream is wearing a face mask. If the camera captures a face without a mask an Email notification will be sent out to the administrator and the system alarm will ring.


2021 ◽  
Vol 5 (4) ◽  
pp. 412
Author(s):  
Vaulin Vladimir Ivanovich ◽  
Singeev Sergey Aleksandrovich

Background: The article presents the results of a study of ensuring fire safety in medical and preventive institutions (LPI) on the example of the central city hospital.Objectives: Research is aimed at improving the fire safety of hospital complexes and hospitals in modern conditions.Materials and Methods: The study used the methods of system analysis of scientific research and statistical data on ensuring fire safety, methods of structural analysis of the practice of ensuring fire safety of hospital complexes, mathematical methods for calculating the evacuation of people from a building and the spread of a fire in a building, methods for calculating the economic efficiency of means of support fire safety.Results and Discussion: Based on the analysis of fire statistics in healthcare facilities in Russia, it is concluded that it is advisable to improve the fire safety of hospitals and hospital complexes in modern conditions. The point of view is expressed that along with the fact that fire safety in hospitals is observed, the analysis indicates the existing problems in the practice of implementation.Conclusion: In order to increase the level of fire safety, it is possible to introduce: a modern fire alarm system; video of control systems and monitoring of safety of objects on the territory of the medical facility; installation of automatic fire extinguishing systems in fire-hazardous premises; installation of additional emergency lighting and reflectors indicating the direction of evacuation in case of fire and smoke; carrying out organizational and practical measures to ensure the safety of patients in a medical institution in an emergency situation (ES), namely, it is proposed to develop a memo of actions for patients in the hospital complex on inpatient treatment in case of an emergency with a list in the instruction log; provision of medical facilities with individual rescue equipment and provision of hospitals and hospital complexes with highrise buildings with modern evacuation means.International Journal of Human and Health Sciences Vol. 05 No. 04 October’21 Page: 412-417


Author(s):  
Nazida Ansari ◽  
Mohammad Shahid Husaini ◽  
Vadthya Bheemdu

The Projects aims to Present a real time Monitoring System which will be used to monitor the Intravenous Fluid remaining in the IV fluid bottle and to provide with an indication such that a timely alarm or an indication can be generated which will then be attended by the hospital staff. The need of the project arises from the fact that often times due to negligence or the absence of required staff, the needs of the patient is overlooked which not only result in discomfort but also can cause infection and even blood backflow. The project utilizes XKC Y-26 N-P-N sensor to detect the overall level of the fluid left in the bottle and if it is found that the level has gone below certain stipulated level an alarm system gives indication to the nursing station. The project also combines the temperature and heart sensors as it is vital to monitor the two important parameters, then with assistance from Excel data streamer Module the data is sent to excel sheet so that it can be displayed in an interactive model. The project has the potential to be used in hospitals which will be beneficial given the adverse Covid related scenario and the entire setup can be used to detect not only the IV fluid level but also any other fluid and sensor that is given to the patient.


2021 ◽  
Vol 23 (07) ◽  
pp. 420-425
Author(s):  
Tejashwini R ◽  
◽  
Dr. Subodh Kumar Panda ◽  

Vehicle security is one of the major concerns that the entire world is currently experiencing. People generally own automobiles, yet these automobiles are not always secure. Vehicle theft occurs in parking lots, public places, and other unsafe areas. The vehicle’s manufacturer does not consider the vehicle security system to be a factor in the overall cost of the vehicle. Nowadays, only a few vehicles come equipped with high-priced security systems. Door locking, alarm system, GSM, GPS, and other security features are built into high-end vehicles only. There is a necessity to build a low-cost security system for vehicles that common people can afford it and the manufacture can built-in the security system in a wide range of automobiles. This paper proposed a method for vehicle theft detection, tracking, and accident identification using the Internet of Things.


2021 ◽  
Author(s):  
Alessandro Costa ◽  
Kevin Munari ◽  
Federico Incardona ◽  
Pietro Giuseppe Bruno ◽  
Stefano Germani ◽  
...  

Author(s):  
Gyula Dorgo ◽  
Ferenc Tandari ◽  
Tibor Szabó ◽  
Ahmet Palazoglu ◽  
Janos Abonyi
Keyword(s):  

2021 ◽  
Vol 1961 (1) ◽  
pp. 012025
Author(s):  
Chunming Wen ◽  
Kechang Li ◽  
Yikui Liao ◽  
Zhanpeng Xiao

Export Citation Format

Share Document