Reduce the effort and time in calculating the absenteeism percentage of students using Internet of Thing (IOT) technology

This study started from some of the problems that took from our institution a lot of time to solve, this study included two parts, and the first part is Image discrimination problems are usually difficult to solve using unprocessed data. to improve the discrimination process Characteristic extraction is often needed to represent data in a space of distinction. Pattern recognition aims to find or recognize specific patterns or structures in digital images (signal). To identify a pattern or an object in an image, you must first obtaining direct preliminary and statistical information about the image that must be digital in order to be able to deal with it by computer. The information in the image must also be classified to facilitate subsequent operations on the image, such as Debriefing. The second part is to calculate the absences of students with an electronic system based on two languages where VB.Net language was adopted to accomplish the program interfaces in addition to the special code to find the percentage of absences, SQL was adopted for the purpose of creating a database in the program and storing data. The process of finding a mechanism to link the VB.Net program with the Internet for sending an e-mail message to the person concerned with the program (the student) for informing the percentage of absences in the study materials when exceeded the ratio approved in the program. The program has also been linked to a local network to be used on more than one computer at the same time and on a single database