scholarly journals Development of smart camera systems based on artificial intelligence network for social distance detection to fight against COVID-19

2021 ◽  
pp. 107610
Author(s):  
Onur Karaman ◽  
Adi Alhudhaif ◽  
Kemal Polat
Author(s):  
Martin Hoffmann ◽  
Jörg Hähner ◽  
Christian Müller-Schloer
Keyword(s):  

Author(s):  
Iyas Alodat

In this paper, we will discuss prediction methods to restrict the spread of the disease by tracking contact individuals via mobile application to individuals infected with the COVID-19 virus. We will track individuals using bluetooth technology and then we will save information in the central database when they are in touch. Monitoring cases and avoiding the infected person help with social distance. We also propose that sensors used by people to obtain blood oxygen saturation level and their body temperature will be used besides bluetooth monitoring. The estimation of the frequency of the disease is based on the data entered by the patient and also on the data gathered from the users who entered the program on the state of the disease. In this study, we will also propose the best way to restrict the spread of COVID-19 by using methods of artificial intelligence to predict the disease in Jordan using Tensorflow.


Author(s):  
Selin Yılmaz ◽  
Deniz Yengin

Human is a social being, and needs communication to convey feelings, thoughts, beliefs, and ideologies to survive. Despite being man-made, machines do not have any feelings. However, the development of artificial intelligence poses a suggestion that machines can also think, and feel. The development of new communication technologies reveals the importance of the relationship between machines and humans. People can control the machine/robot with voice commands or hand-face-eye scans. The data processed in the machine memory can be interpreted with other algorithms and instantly give the needed information. The machine that processes the reaction of the individual sometimes may be protective for itself and the individual, and sometimes, a shadow. By recognizing the individual, the machine can turn into a dangerous and useful tool. Makine işlediği verileri saklayıp, depolamakta ve kayıt altına almaktadır. The data is protected by a machine-built firewall. However, if these data are captured, internal and external surveillance is inevitable. Nowadays, in terms of the ecology of communication, new media tools ensure the continuity of communication and facilitate the individual's socialization. In addition, the machines add speed to the life of the individual over time and space. In this study, the character structures of the machine are examined and its importance in terms of digital surveillance is revealed. The aim is to evaluate the machine in terms of digital surveillance by revealing that the machine can be protective, shadow, friend, or dangerous for the individual with the concept of artificial intelligence. In this study, the emotional intelligence of the machine and the concept of digital surveillance will be analyzed using the content analysis method and semiotics technique. In the research, randomly picked 5 Hollywood films (Ex Machina, I Robot, Bicentennial Man, Transcendence, Eagle Eye) will be analysed according to the character analysis of Jung, and the different aspects of the human and machine will be determined by making use of the emotional side of the machine and the fundamental oppositions of Barthes. In these films, the forms of the machine are different, and it is noteworthy that they have protective and shadow characters. The machine becomes dangerous by acting with its emotions. As a result, it has been revealed that the machine/robot reacts according to the data and has an important aspect in terms of digital surveillance since the machine is constantly evolving with the power of artificial intelligence, and this development makes it easier to access other tools and facilitate digital surveillance. In the eagle eye film, the machine can make digital surveillance using all the camera systems in the city.


Author(s):  
K. Harshita ◽  
R. Moni Pravallika ◽  
T. Lakshmi Prasanna ◽  
Sk. Nazma ◽  
S. Parvathi ◽  
...  

According to the world health organization, social distancing will be proven to be the only solution to fight with COVID-19. In this, an innovative localization method was proposing to track humans ‘position in an outdoor environment based on sensors is proposed with the help of artificial intelligence, this device is handy to maintain a social distancing. Duringcovid-19pandemicsituation, there is a need of maintaining social distance. If any person is approaching us, getting indication to maintain social distance is the need of the hour. Offices, public transports, grocery shops where the social distancing is mandatory. Since we can be cautious in front sideways to maintain the distance sensors are used in this model to alert the person to maintain social distance.


2008 ◽  
Vol 2 (4) ◽  
pp. 480-492 ◽  
Author(s):  
M. Hoffmann ◽  
M. Wittke ◽  
J. Hahner ◽  
C. Muller-Schloer

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