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COVID-19 is an acute, sometimes severe, respiratory illness caused by the novel coronavirus. In 2019 First discovered in Wuhan, China, the virus has spread all over the globe, where places like Europe, India are facing the second wave of COVID19 pandemic in 2021. Now that the pandemic is nowhere to be seen to take an end, efforts must be made to mitigate the spread of the Virus. Organizations like Shopping malls, schools, Banks have turned out to be places where crowd gatherings happen the most, and here the chance of being infected also increases. So, to stop the spread of the virus, we have proposed a system that provides smart surveillance in crowded areas. In the proposed model we have done Face Mask detection, temperature Monitoring along with continuous tracking of crowd density and to integrate all these modules we have used Multiple Regression Mode. For Mask detection, we have used the OpenCV library called Dlib, which accurately extracts the face feature and with specified conditions, it can be identified if a person is wearing a mask or not. For monitoring of temperature, MLX90641 is used, with a pi-cam to get the video footage, along with keeping track of people entering. All the Required Computation is done on the Raspberry Pi and according to the specified condition, the Raspberry pi signals the servo motor to close and open the entry door.

In this paper we present contactless solution for automatic induction disinfection intelligent hand sanitizer. The novelty of our prototype is that contactless sensor is not sensitive to skin color. Furthermore, it is equipped with RFID tag allowing adjustment to visually impaired users. Research was set as response to COVID-19 and reflects local needs since access to the presented prototype was not possible before and during COVID-19.

International audience; The Robots for Learning workshop series aims at advancing the research topics related to the use of social robots in educational contexts. This year's half-day workshop follows on previous events in Human-Robot Interaction conferences focusing on efforts to discuss potential benchmarks in design, methodology and evaluation of new robotics systems that help learners. In this 6th edition of the workshop, we will be investigating in particular methods from technologies for education and online learning. Since the past few months, online and remote learning has been put in place in several countries to cope with the health and safety measures due to the Covid-19 pandemic. In this workshop, we aim to discuss strategies to design robotics system able to provide embodied assistance to the remote learners and to demonstrate long-term learning effects.

Nowadays in this pandemic situation are fixed with certain limits in our lives. There are options with us but options are limited this time. In this paper there are many ways trying to cover all such possible aspects and technologies which are or yet to be revolutionized after the impact of this pandemic and also tried to highlight the IoT based Healthcare Sector in upcoming days. But in this stage, this have IoT as our option to fight with this pandemic situation very well. Social distancing is the only one solution to save ourselves from this disease. So, people start using certain networks, software, and other technologies to connect with each other. IoT helps in speeding up life even if facing any pandemic situations. IoT is not only something which is connected with or limited with machines or IT related persons only. It is something which is used everywhere these days. Like in cameras, security systems and most powerful use of this is in healthcare. It helps people make them smart and connected with each other.

We present ZoomTouch - a breakthrough technology for multi-user control of robot from Zoom in real-time by DNN-based gesture recognition. The users from digital world can have a video conferencing and manipulate the robot to make the dexterous manipulations with tangible objects. As the scenario, we proposed the remote COVID-19 test Laboratory to considerably reduce the time to receive the data and substitute medical assistant working in protective gear in close proximity with infected cells. The proposed technology suggests a new type of reality, where multi-users can jointly interact with remote object, e.g. make a new building design, joint cooking in robotic kitchen, etc, and discuss/modify the results at the same time. Accepted to the ACM SIGGRAPH ASIA 2020 conference (Emerging Technologies section), ACM copyright, 2 pages, 2 figures

Covid-19 pandemic had an impact on the global economy. Startups played big role in Indonesia’s economy. This study was aimed to know the startups business opportunity during pandemic. This study used online questionnaires to the startups under the coordination of the Ministry of Research and Technology. Questionnaire were processed using pivot tables and analyzed by SWOT. Data showed that 79% startups keep survive despite the pandemic conditions. This study was focus on startups in the field of health/medicine, agriculture/food security, IT, transportation, manufacture, energy. The business sustainability were 95%;86%;76%;75%;71%;43%, respectively. The increase number in turnover were 48%;16%;11%;0%;8%;0%, respectively. The increase number of labor were 29%;6%;7%;0%,4%;0%,respectively. SWOT analysis showed that the startups in the field of health/medicine, agriculture/food security, IT and manufacture have business opportunities to develop amid the pandemic. The result of this study was recommended to arrange policy design for reducing the impact of Covid-19 pandemic on startups business.

The significant decrease in agricultural land and the rapid development of hydroponic system technology have brought a huge challenge to farmers. This paper describes the NFT-I (Nutrient Film Technique based on IoT) hydroponic system, and it is a variant of traditional NFT and Floating Root (RF) systems. The system measures several parameters, such as temperature, water level, and acidity (pH). The system collects the information using sensors connected to Arduino microcontroller and Raspberry PI to store the collected data. The results show that this system can reduce the electricity consumption by 91.6%; on the other hand, it helps farmers to increase the effectivity and efficiency on monitoring and controlling NFT-I Hydroponic Farm. Finally, in these times of confinement due to coronavirus disease (COVID-19), in which the economy has decreased, and the needs are multiple, this NFT-I system could help people to create their vegetable growing system quickly and cheaply.

As the development and distribution of COVID-19 vaccinations continues, the concept of a digital Yellow Card or smart vaccine passport has been discussed. Verifying an individual’s COVID-19 vaccination would improve cross-border mobility and limit the potential spread of the virus. Recently, the WHO signed a Memorandum of Understanding with the Government of Estonia for providing expertise and technical solutions like the interoperable cross-border data exchange ecosystem, X-Road, for piloting a smart vaccine passport trust architecture. Subsequently, the WHO is in the beginning stages of undergoing a process of digital transformation to accommodate the pilot (DT). In this paper, the authors present an exploratory case study using qualitative workshop methods and data triangulation to investigate the technical, political and organizational DT processes occurring in the pilot project. The results suggest the proposed cross-border data exchange trust architecture would exchange non-sensitive personal health information. Some WHO countries are willing to participate and engage in the pilot, but political and legal barriers remain for large-scale implementation. Ultimately, the potential establishment of a trusted global architecture health framework, where not only COVID-19 vaccine data can be exchanged, but new cross-border health services can be created, warrants further investigation.

In order to stop the spread of COVID-19, government has to lockdown of the city from all outside contact. Most of business activities force to stop. This will have an impact on the economic activities. In this paper, first we will use the crawler technology to fetch company's data from Cninfo website. Second, we will use the big data analysis and data visualization technology to analyze the impact of Covid-19 on China various industries. In comparing various industries' profit in the first quarter of 2019 and 2020, we find that except for agriculture, forestry, animal husbandry and fishery, national defense and military, banking, food and beverage industries, the profit value of other industries has declined, with transportation, chemical industry, mining and non-banking financial sector falling the most. On the whole, various industries have been hit by the epidemic.

The COVID-19 pandemic disrupted all aspects of life. To stop uncontrollable virus spread, the Governments declared lockdown in many countries. The economic and social consequences of the pandemic had a significant impact on organizational development. In response to the crisis, organizations had to accelerate the strategy of digital transformationto adapt to unprecedent situation. The purpose of the contribution is to measure the magnitude of the impact of COVID-19 on digital transformation in organizations. The article presents results of research dedicated to the situation in selected areas. Primary quantitative data were obtained using a questionnaire survey taking place before and after the beginning of the pandemic. The selected outputs compare the results of the digital transformation in organizations in two periods, before 2020 and after. The sample contains thousands of respondents. The results confirm the rapid transfer of organizations to become more digital toward interacting with customers and suppliers through digital technologies. The rate of adoption of digital initiatives is higher than before the crisis. Therefore, is an indisputable output of the questionnaire survey focused on the role of CIO, number of information systems, ICT investments, user comfort, and the will of managers to listen to user request.