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Software Architecture for Object Detection in Images Based on Color Features with Integrated Artificial Intelligence

  • Georgi Tsonkov,
  • Gabriela Garvanova,
  • Ivan Garvanov,
  • Magdalena Garvanova

摘要

This article proposes a software architecture for object detection in video materials, integrating advanced object recognition through the utilization of artificial intelligence (AI) and the capabilities of an object detection algorithm employing color characteristics. The proposed algorithm significantly enhances the accuracy and efficiency of detection, enabling better adaptation to varying lighting conditions and a diversity of objects. The article highlights how the integration of artificial intelligence and machine learning can enrich the analysis of video data, offering new possibilities for application in various domains.