Loggerhead Instruments Inc. (20240265926). SYSTEM AND METHOD FOR DETECTING AND CLASSIFYING CLASSES OF BIRDS simplified abstract

From WikiPatents
Jump to navigation Jump to search

SYSTEM AND METHOD FOR DETECTING AND CLASSIFYING CLASSES OF BIRDS

Organization Name

Loggerhead Instruments Inc.

Inventor(s)

David A. Mann of Sarasota FL (US)

Austin T. Anderson of Bradenton FL (US)

SYSTEM AND METHOD FOR DETECTING AND CLASSIFYING CLASSES OF BIRDS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240265926 titled 'SYSTEM AND METHOD FOR DETECTING AND CLASSIFYING CLASSES OF BIRDS

Simplified Explanation:

This patent application describes a hybrid edge and cloud system for detecting and identifying bird vocalizations. The system includes an edge device with a neural network trained on audio samples, an audio sensor, a cloud computing system with a cloud neural network, storage services, and a hit table for storing metadata.

  • The edge neural network is trained with audio samples to predict bird vocalizations.
  • An audio sensor sends sound information to the edge neural network for processing.
  • The cloud neural network processes sound information and stores metadata in the hit table.
  • The edge neural network generates scores for audio samples and selects the top scoring one.
  • A browsing device can access the cloud system and request information from the hit table.

Key Features and Innovation:

  • Hybrid edge and cloud system for bird vocalization detection.
  • Edge device with a neural network trained on audio samples.
  • Cloud computing system with a cloud neural network for processing sound information.
  • Hit table for storing metadata about sound detections.
  • Browsing device with access to the cloud system.

Potential Applications:

  • Wildlife monitoring and research.
  • Environmental conservation efforts.
  • Birdwatching and bird identification.
  • Bioacoustic research and analysis.

Problems Solved:

  • Efficient and accurate detection of bird vocalizations.
  • Integration of edge and cloud computing for real-time processing.
  • Storage and retrieval of metadata for sound detections.

Benefits:

  • Improved bird species identification.
  • Real-time monitoring of bird populations.
  • Enhanced research capabilities in ornithology.
  • Data-driven conservation efforts.

Commercial Applications:

Birdwatching Apps: Incorporating bird vocalization detection for enthusiasts. Environmental Monitoring Companies: Utilizing the technology for wildlife surveys. Research Institutions: Enhancing bioacoustic research and analysis capabilities.

Prior Art:

Prior art related to this technology may include research papers on bioacoustic monitoring systems, edge computing applications in wildlife research, and cloud-based neural networks for audio processing.

Frequently Updated Research:

Researchers are continually exploring advancements in bioacoustic monitoring systems, edge computing technologies, and cloud-based neural networks for improved bird vocalization detection and identification.

Questions about Bird Vocalization Detection: 1. How does the hybrid edge and cloud system improve bird vocalization detection compared to traditional methods? 2. What are the potential limitations of using neural networks for bird vocalization identification?


Original Abstract Submitted

a hybrid edge and cloud system for detecting and identifying bird vocalizations including an edge device having an edge neural network. the edge neural network is trained with audio samples for making predictions about identification of the bird vocalizations. the system includes an audio sensor connected to the edge neural network for sending sound information to the edge neural network. the system includes a cloud computing system having a cloud neural network for processing the sound information, a first storage service, a second storage service, and a hit table which stores metadata about sound detections. the edge neural network generates a score for each of the trained audio samples based on predictions made from a sound audio clip and selects a top scoring audio sample. the hybrid edge and cloud system includes a browsing device having access to the cloud computing system and may request information from the hit table.

Retrieved from "http://wikipatents.org/index.php?title=Loggerhead_Instruments_Inc._(20240265926)._SYSTEM_AND_METHOD_FOR_DETECTING_AND_CLASSIFYING_CLASSES_OF_BIRDS_simplified_abstract&oldid=212822"