Published Paper Details:

This project showcases the creation and execution of an animatronic eye system managed by a sound sensor and a servo motor to replicate lifelike eye movements triggered by audio signals. The system employs a microcontroller (such as Arduino) to analyze sound input captured by a sensor, activating specific servo motor motions to adjust the eye's position accordingly. By linking sound intensity to servo angles, the system successfully replicates natural eye movements, like abrupt turns toward loud sounds. The project focuses on attaining smooth and stable movement via calibrated pulse-width modulation (PWM) control, along with suitable sensitivity modifications to reduce false triggers. Essential characteristics including a standard eye position, customizable sound limits, and flexible delay configurations guarantee consistent operation in different noise conditions. Testing showed that the system reacts to sound cues within 200-300 ms, resulting in precise and realistic movement. Although successful in managed settings, drawbacks like susceptibility to ambient noise and absence of directional sound monitoring were recognized. Suggested improvements consist of incorporating various sound sensors, refining motion control algorithms, and adding more servo motors to boost vertical movement and blinking capabilities. This initiative provides an affordable and engaging approach for uses in animatronics, robotics, and entertainment systems, showcasing the capability of merging basic sensors with accurate motor control to generate captivating and lifelike actions.