VTU campus surveillance and student smart accessibility system using IOT
Baswaraj Gadgay, D C Shubhangi, R Abhijeet
- 发表年份
- 2021
- 引用次数
- 3
摘要
The Visveswaraya Technological University is one of the most reputed and leading university in India, which is in existence since 1996 and headquartered in Belagavi. The most challenging for any institutions is about student data management, related to their academics, safety and security, accessibility to libraries, laboratories, etc. This project focuses on the safety and security aspect of the student management. The safety of the students within the VTU campus begins with the surveillance of the campus that requires All-time monitoring of the vast area. A four wheeled automated movement-based robot with a path tracking capability provides us the freedom of monitoring the robot, The surveillance aspect is derived through the use of ESP cam 32 that gives continuous monitoring of the campus. The security aspect is dealt with the restricted accessibility and admissibility to various building blocks using RFID technology and connecting all these buildings through internet and store all these data in a freely accessible Google spreadsheet which provide precisive time-based monitoring of entry and exit to and from the respective blocks. The advancement of technology allows us to apply Internet of Things based applications for the surveillance and security of the campus by supervising from any remote location to identify any intruders into the campus or any fraudulent activities within the campus. The application of IOT is used to create a web of integrated accessibility systems that manages the student data by allowing the rightful students and avoiding entry of an outsider to any building blocks of the university. This creates a spreadsheet of entrants which could be used as evidence-based insight about the student’s movement. It acts as a shield of security for the insiders as this reduces the human supervision error by around 60% and also improves an evidence-based suspicion detection.
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