Background/objectives: The major changes which come across face recognition are to find the age and gender of the person. This study is centered on face detection with voice and biometric technology. Methodology: During this study, it has been worked on the input camera which takes multiple shots of person. After that, the Cascade Classification algorithm has been used inside the application which creates the multiple human templates. So the facial features have been detected. After that, it saved in particular database with their unique ID. Furthermore, the verification process has been started by matching the templates inside the database. Through this process, the student attendance has been marked automatically. Findings: It has been presented that face detection with voice and biometric technology can enhance the security measures. Employee's attendance can be marked by simply detecting face that can increase punctuality. Students can be checked and marked by face detection process. As well, it can also be setup in banks to enhance the security by allowing authorized people only or who have accounts in that bank. Novelty/improvements: For finding the age and gender from a particular image, relevant techniques are discussed, with some new approaches for maintaining security. We discussed complete models with security measures in this research.

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Motivation: Controlling and monitoring of the whole process of industry is very difficult from a single place. Many workers required in different places of the plant to monitor, analyse, and gather data and to perform specific function accordingly. Problem: These gathering of data cause us our precious time. Sometimes due to this delay, many accidents occur like fire, leaking of different dangerous gases or materials, etc. Many monitoring tools and methods were developed to give solution for gathering data, but still workers were needed on the plant side to complete the task like powering on or off the system. Methods: This cloud-based industrial system controlling and monitoring application is designed not only to help in gathering data but also in controlling of different parameters of industry in a single application. Findings: This gathering is done via the cloud; Human Machine Interface (HMI) is linked to a database so that everyone can easily understand the working status of the plant. These data can be controlled and monitored from everywhere and from every device which has internet availability. Here we are using Siemens manufactured digital module of Programmable Logic Controller (PLC) s7-200. Without any internet module of PLC, we are sending our data over cloud to be monitored and controlled from all over the world. Application: The next step of this application will be receiving notifications via email or SMS whenever a parameter is changed.

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