ABSTRACT
The Covid-19 pandemic is an unparalleled threat in today’s environment of quick development, and we face it as a global community. Like climate change, it is challenging our resilience from environmental health, social security, and government to knowledge exchange and economic policy in all sectors of the economy and growth fields. So much as climate change, this too would require everybody to come together and take an appropriate initiative. The coronavirus outbreak has highlighted our strengths and vulnerabilities that it has influenced and enabled us to benefit from each other’s accomplishments and shortcomings. The entire globe might appear small amid this state of disaster and global travel bans. However, it is a period when the concept of teamwork and looking forward were never more relevant. In the wake of Covid-19, all contact-based biometric attendance systems have been rendered practically useless. Thus, a contactless biometric attendance system is the need of the hour to prevent the spreading of Covid-19. The present-day attendance systems are quite difficult to manage and maintain record. The attendance in classes or industries is mostly done manually, and logbooks are used to maintain records. This can be a cumbersome process as sometimes humans can make a mistake which might lead to inconsistency. This chapter proposes a completely automatic attendance system that uses contactless biometric as a health-care major in the Covid-19 pandemic. In a system using facial recognition, there are lots of challenges involved most of the time. These may include low intensity of light or face that is occluded. The You Only Look Once (YOLO) algorithm for facial detection has been used in this chapter to overcome this issue. © The Institution of Engineering and Technology 2022.