AI-Powered Facial Recognition and IR Scanning
For Enhanced Airport Security
DOI:
https://doi.org/10.58445/rars.2371Keywords:
Airport Security, Artificial Intelligence, Facial RecognitionAbstract
The increasing prevalence of counterfeit identification documents poses a significant challenge to airport security, necessitating more advanced and reliable verification methods. Traditional manual identity verification processes, while essential, are prone to human error, inefficiencies, and fatigue, making them inadequate against sophisticated fraudulent attempts. Artificial intelligence (AI)-powered facial recognition offers a transformative solution, enhancing accuracy, speed, and security in passenger identification. This paper explores the integration of AI-driven facial recognition systems in airport security, emphasizing their ability to automate document verification, identity confirmation, and database cross-referencing.
AI-based facial recognition systems have demonstrated remarkable advantages, including improved detection accuracy, reduced processing times, seamless contactless verification, and adaptability to emerging threats. However, challenges such as privacy concerns, ethical dilemmas, algorithmic bias, and regulatory inconsistencies hinder widespread adoption. The potential for mass surveillance and the risk of biometric data breaches necessitate stringent data protection policies and transparent governance.
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