A login confirmation mechanism for meeting platforms with an automatic face acknowledgment system

In the current digital era, video conferencing has gained popularity as a means of conducting meetings and online conversations, and several software firms now provide solutions for the same. Numerous industries, including meetings, webinars, and online schools, employ this technology. Nevertheless, the majority of the time, these apps use email to send users login credentials, meeting links, and other information. All attendees receive the URL from the host and can use it to access the meeting. The fact that anyone with the connection can attend the meeting even if they haven’t been invited is a significant problem with this approach. If a user shares their login information with someone else, there is still a chance of unauthorized access even if usernames and passwords are taken into account as authentication mechanisms. If the user gives someone else access to their login information. The conference’s security and privacy may be at risk because of this. Sometimes it’s necessary to restrict access to particular audiences. For example, you might only let personnel working on a particular project or select students to attend meetings. This is the point at which an improved authentication technique is useful. We can greatly improve security and privacy in online meeting platforms by integrating facial recognition technologies. Once the facial recognition authentication system verifies them, only the intended attendees will be able to enter the meeting. The four stages of this system are participant entry, face detection, face recognition, and database construction. For face recognition, we can utilize the Local Binary Pattern Histogram technique with the Haar-Cascade classifier. By using this method, we can prevent unwanted attendees from joining the meeting.