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The object detection can be referred as a technique related to computer vision and image processing. The computer vision is generally based on interpreting image and gets information from image. For the measurement of objects OpenCV libraries, the canny edge detection, dilation, and erosion algorithms are used. The object detection can be found in various use cases like real-time object detection, 3D object detection, fall detection, object detection, and tracking from videos for surveillance. There are diverse applications like robotics, autonomous driving, surveillance, space field, and in augmented reality (AR).

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Object Detection Using Deep Learning Model YOLOv4 Tiny Model

  • 会议论文

  • 发表日期：

    2025年

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  • K. Sreenivasulu,
  • M. Jahir Pasha,
  • V. Sujatha,
  • R. Dyanesh,
  • Vikram Neerugatti,
  • K. K. Baseer

摘要

The object detection can be referred as a technique related to computer vision and image processing. The computer vision is generally based on interpreting image and gets information from image. For the measurement of objects OpenCV libraries, the canny edge detection, dilation, and erosion algorithms are used. The object detection can be found in various use cases like real-time object detection, 3D object detection, fall detection, object detection, and tracking from videos for surveillance. There are diverse applications like robotics, autonomous driving, surveillance, space field, and in augmented reality (AR).