Chakraborty, Sabyasachi
Automated smart surveillance and guidance for the campuses - Vol.25(4), Jul-Aug - Haryana IOSR - International Organization of Scientific Research 2023 - 46-49p.
The Smart Campus Surveillance-Based Guidance System is a project designed to enhance the security and
guidance of students on university campuses using advanced surveillance technologies. Our system employsa
combination of smart technologies and physical infrastructure to provide improved services, decision-making,
and sustainability.Our project aims to address the problem ofstudents wandering around the campus, getting lost,
and missing classes, which can lead toacademic and social problems. The system monitors students' movements
and guides themto their respective classrooms using a real-time guidance system. The front-end and back-end
of the system are designed using Python programming language and two frameworks: Django or Tkinter. The
choice of the framework depends on the complexity of the project and the preferred interface design. The system's
database is managed using SQLlite, which provides fast and reliable storage of data.The project's front-end
interface is designed to be user-friendly and responsive, with a focus on ease of use and accessibility. The
back-end of the system is responsible for data storage, processing, and analysis, and it provides a robust and
scalable platform for managing the surveillance data.
Computer Engineering
Automated smart surveillance and guidance for the campuses - Vol.25(4), Jul-Aug - Haryana IOSR - International Organization of Scientific Research 2023 - 46-49p.
The Smart Campus Surveillance-Based Guidance System is a project designed to enhance the security and
guidance of students on university campuses using advanced surveillance technologies. Our system employsa
combination of smart technologies and physical infrastructure to provide improved services, decision-making,
and sustainability.Our project aims to address the problem ofstudents wandering around the campus, getting lost,
and missing classes, which can lead toacademic and social problems. The system monitors students' movements
and guides themto their respective classrooms using a real-time guidance system. The front-end and back-end
of the system are designed using Python programming language and two frameworks: Django or Tkinter. The
choice of the framework depends on the complexity of the project and the preferred interface design. The system's
database is managed using SQLlite, which provides fast and reliable storage of data.The project's front-end
interface is designed to be user-friendly and responsive, with a focus on ease of use and accessibility. The
back-end of the system is responsible for data storage, processing, and analysis, and it provides a robust and
scalable platform for managing the surveillance data.
Computer Engineering