AI Integrated Design of Multi Axis Servo Mechanism for Smart Invigilation

Abstract

The AI-based smart invigilation system is designed to enhance surveillance during examinations. It utilizes two 100W servo motors for movement along the X and Y axes, driven by the RD77MS4 Servo amplifier. A camera, mounted on a moving arm, captures images of candidates while continuously monitoring their activities, including subtle movements like eyeball tracking. The system, installed at the top of the examination hall, allows for real-time observation, helping to detect any suspicious behavior or potential cheating. This automated monitoring is supported by Mitsubishi's R04 PLC for controlling motor movements and an HMI GOT2000 interface for user interaction. An AI-enabled camera further analyses image data to identify irregularities, providing efficient and smart invigilation throughout the examination process.

Specification

Description:The AI-based smart invigilation system is an innovative approach to enhancing examination integrity by leveraging automation and artificial intelligence. Traditional invigilation methods rely heavily on human supervisors, which can be prone to error, fatigue, and inconsistency. To address these challenges, this system incorporates advanced technology to monitor students effectively and ensure a fair examination environment. The system uses two 100W servo motors to control the movement of a camera mounted on a moving arm, allowing it to traverse along both the X and Y axes. These motors are driven by the RD77MS4 Servo amplifier, providing precise and efficient control over the camera's position.
At the core of the system's operation is the Mitsubishi R04 PLC, which coordinates the movements of the motors and ensures smooth functioning of the hardware components. The Human-Machine Interface (HMI) GOT2000 offers an intuitive interface for administrators, allowing them to monitor and adjust the system as needed. This PLC-HMI combination ensures reliable communication between the various components and offers ease of operation for users.
The camera plays a crucial role in the system by capturing high-resolution images of students and analyzing their behavior in real-time. Equipped with artificial intelligence, the camera can detect subtle actions such as head and eyeball movements, which are commonly associated with cheating attempts. The AI algorithm processes the image data to flag any suspicious activities, such as unusual movements or continuous focus deviations, which are then reported for further investigation.
This setup, installed at the top of the examination hall, offers comprehensive coverage of the entire room, allowing for real-time, unobtrusive monitoring of students. By automating the invigilation process and enhancing surveillance capabilities, this system ensures a more controlled, secure, and fair environment for academic assessments.
, Claims:We claim that,
1) On designing this Enhanced Cheating Detection through AI-Powered Monitoring is achieved.
2) Due to the use of servo drive, Precise and Efficient Camera Movement for Comprehensive Coverage.

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