| dc.description.abstract | Logistics in the transportation industry face ongoing difficulties, particularly in main-
taining driver safety and improving operational efficiency. The frequency of accidents
involving drivers who are intoxicated or fatigued is a major problem in the real world.
In this study, we suggest an integrated system which includes modern technologies such
as alcohol detectors, eye-tracking cameras, global positioning system, and temperature
monitors. Our solution involves using smart sensors and intelligent machine learning
algorithms to detect alcohol levels and spot signs of driver fatigue by analyzing their
eye movements. Not only does the solution ensure compliance with safety regulations
but it also allows for real-time data collection and analysis are emphasized here,
making our system not just safer but more efficient for logistic operations. In the
future, transportation will lean heavily on automated drones and self-driving vehicles,
especially for the final parts of deliveries. These advancements mean goods will get
delivered faster, accounting for less traffic, and logistics will become more eco-friendly. | en_US |
