Abstract

The "Anti-Sleep Glasses” uses artificial intelligence (AI) to solve the serious problem of accidents caused by sleepiness. The system uses an ESP32 AI Cam board and customized glasses to integrate a machine learning (ML) model that is trained and implemented on the ESP32 in order to identify eye conditions. An alarm sound is generated whenever the machine learning model detects that an eye has been closed for more than 300 milliseconds. This helps avert mishaps that may arise from drowsy drivers or operators. With the use of sophisticated sensors and AI algorithms, these glasses can precisely identify indicators of weariness or exhaustion by tracking the wearer's pupil dilation, eye movement, and blink rate. In order to notify the user and avert any mishaps, the system quickly activates an alarm mechanism— which may be haptic, visual, or auditory—when it notices these indicators. Since the system learns and adapts to each user's unique patterns of alertness and fatigue, the integration of AI enables a high degree of accuracy and flexibility to diverse users. The glasses may be worn for lengthy periods of time without causing pain because of their pleasant and non-intrusive design. This technique has broader uses in numerous industries where attentiveness is crucial for safety, in addition to improving road safety by warning sleepy drivers. The creation of these glasses marks a substantial advancement in the application of AI to enhance public safety and avoid accidents.