Akademik Veri Yönetim Sistemi
20th INTERNATIONAL İSTANBUL SCIENTIFIC RESEARCH CONGRESS ON LIFE, ENGINEERING, ARCHITECTURE, AND MATHEMATICAL SCIENCES, İstanbul, Türkiye, 21 - 23 Şubat 2025, ss.547-557
Artificial intelligence (AI) has emerged as one of the most exciting and rapidly evolving fields in technology today. Its innovative applications span various sectors, including healthcare, finance, education, and logistics, optimizing processes and improving efficiency. Object detection is a crucial and fast-developing domain within computer vision, enabling the identification and localization of objects in images or video streams. Advanced techniques such as deep learning and artificial neural networks have significantly enhanced object detection capabilities, making it a fundamental component in applications like facial recognition, autonomous vehicles, and security systems. Beyond high-risk applications, object detection also finds extensive use in retail, agriculture, and healthcare. Future advancements in this technology are expected to drive its implementation in smart city traffic management, waste sorting, and even space exploration. This study aims to examine and evaluate the methods used in object detection with artificial intelligence, discussing how these technologies can be employed responsibly and securely. It provides valuable insights for those seeking to understand the opportunities and challenges presented by AI-powered object detection.