首页|Mepco Schlenk Engineering College Researchers Update Knowledge of Artificial Int elligence (Artificial intelligence of things for smart cities: advanced solution s for enhancing transportation safety)
Mepco Schlenk Engineering College Researchers Update Knowledge of Artificial Int elligence (Artificial intelligence of things for smart cities: advanced solution s for enhancing transportation safety)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Mepco S chlenk Engineering College by NewsRx correspondents, research stated, “In the co ntext of smart cities, ensuring road safety is crucial due to increasing urbaniz ation and the interconnected nature of contemporary urban environments. Leveragi ng innovative technologies is essential to mitigate risks and create safer commu nities.” The news reporters obtained a quote from the research from Mepco Schlenk Enginee ring College: “Thus, there is a compelling imperative to develop advanced soluti ons to enhance road safety within smart city frameworks. In this article, we int roduce a comprehensive vehicle safety framework tailored specifically for smart cities in the realm of Artificial Intelligence of Things (AIoT). This framework seamlessly integrates a variety of sensors, including eye blink, ultrasonic, and alcohol sensors, to bolster road safety. The utilization of eye blink sensor se rves to promptly detect potential hazards, alerting drivers through audible cues and thereby enhancing safety on smart city roads. Moreover, ultrasonic sensors provide real time information about surrounding vehicle speeds, thereby facilita ting smoother traffic flow. To address concerns related to alcohol consumption a nd its potential impact on road safety, our framework incorporates a specialized sensor that effectively monitors the driver’s alcohol levels. In instances of h igh alcohol content, the system utilizes GPS and GSM technology to automatically adjust the vehicle’s speed while simultaneously notifying pertinent authorities for prompt intervention. Additionally, our proposed system optimizes inter-vehi cle communication in smart cities by leveraging Li-Fi technology, enabling faste r and more efficient data transmission via visible light communication (VLC). Th e integration of Li-Fi enhances connectivity among connected vehicles, contribut ing to a more cohesive and intelligent urban transportation network.”
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