Abstract：Thingspeak Based Monitoring IoT System for Counting People in A Library In this studya real-time system which counts the number of people with the help of a camera was demonstratedThe system can send the number of people to a mobile application via Internet of ThingsIoTand monitor simultaneouslyThis work is carried out in the main library of Inonu UniversityBackground subtraction method was used to recognize moving humans on the visual field of the cameraAccording to motion information of humansa counter was used to count the number of people in the saloon by determining whether going inside or outsideThe counter will inform the users about what percentage of the saloon is emptyMatlab and Thingspeak combination help to send counter information to internet environmentA mobile application was used to track the counter information from Android and Ios smartphonesThe results were presented in Matlab environment and mobile application simultaneouslyThanks to this workstudents will not have to look for a place to work when the library is crowded and will not bother other working studentsIt is believed that this project will serve all studentsLibrary AutomationThis job is carried out at the main library of Inonu UniversityIt aims to help students find a place of job by monitoring the number of people in the lobbyIt involves the use of technology to optimize the use and operation of the libraryThis system sends data data to mobile applications through Internet of ThingsIoTtechnology and monitor them at the same timeIn additionthe background reduction method is used to identify those who move in the cameras field of viewThis part ismode recognitionThe system calculates the number of people in the hall by determining whether people enter or leave