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Machine learning

Breakthrough Patent Application for Small Object Detection in Images Using Machine Learning and Signal Processing Techniques

Strategic Insights

— 1 min read

In a groundbreaking development in the field of computer vision, a patent application has been filed for a method and system for small object detection in images using machine learning and signal processing techniques. The application, developed by inventors Sanjay Chawla and Mohammad Amin Sadeghi, aims to address the challenge of detecting small objects in images, which is a critical task in various applications including autonomous vehicles, surveillance systems, medical imaging, flight safety, and industrial automation.

Key Takeaways:

  • The patent application proposes a system for small object detection in images using machine learning and signal processing techniques, which comprises a computer, a processor, and a memory storing instructions for applying a set of machine learning and signal processing techniques.
  • The system includes a preprocessing module, an image alignment module, a feature extraction module, a machine learning classifier module, a signal processing refinement module, and a post-processing module, which work together to detect small objects in images.
  • The feature extraction module employs Convolutional Neural Networks (CNNs) to capture relevant spatial and contextual information from the aligned image.
  • The machine learning classifier module is trained on a diverse dataset of images containing small objects and employs deep learning architectures to discriminate between small objects and background clutter.
  • The signal processing refinement module uses morphological operations, edge detection, and thresholding to enhance object boundaries and reduce false positives.
  • The post-processing module eliminates duplicate detections and refines final object detections from the refined image.
  • The method for using the system for small object detection in images comprises receiving an input image, applying a preprocessing module, an image alignment module, a feature extraction module, a machine learning classifier module, a signal processing refinement module, and a post-processing module.

Statistics:

  • The patent application was filed on November 27, 2024.
  • The application was made available on May 29, 2025.
  • The system for small object detection in images using machine learning and signal processing techniques has 20 claims.

Sources:

  • Chawla, Sanjay; Sadeghi, Mohammad Amin. Method And System For Small Object Detection In Images Using Machine Learning And Signal Processing Techniques. U.S. Patent Application Number 20250174018, filed November 27, 2024 and posted May 29, 2025. Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(20250174018)&db=US-PGPUB&type=ids

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