Omni Medsci, Inc. (20240225454). CAMERA BASED SYSTEM WITH PROCESSING USING ARTIFICIAL INTELLIGENCE FOR DETECTING ANOMALOUS OCCURRENCES AND IMPROVING PERFORMANCE simplified abstract

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CAMERA BASED SYSTEM WITH PROCESSING USING ARTIFICIAL INTELLIGENCE FOR DETECTING ANOMALOUS OCCURRENCES AND IMPROVING PERFORMANCE

Organization Name

Omni Medsci, Inc.

Inventor(s)

Mohammed N. Islam of Ann Arbor MI (US)

CAMERA BASED SYSTEM WITH PROCESSING USING ARTIFICIAL INTELLIGENCE FOR DETECTING ANOMALOUS OCCURRENCES AND IMPROVING PERFORMANCE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240225454 titled 'CAMERA BASED SYSTEM WITH PROCESSING USING ARTIFICIAL INTELLIGENCE FOR DETECTING ANOMALOUS OCCURRENCES AND IMPROVING PERFORMANCE

The patent application describes a measurement system that includes an actively illuminated camera system coupled to a time-of-flight sensor or an array of laser diodes split into multiple spatially separated lights. The camera system captures two or three-dimensional images, and the light source consists of semiconductor diodes like light emitting diodes. A processor connected to a computer-readable medium uses artificial intelligence to make decisions and may employ machine learning techniques to analyze anomalies or generative artificial intelligence to enhance system performance. Algorithms are utilized to improve generative artificial intelligence processing, and the camera output can be combined with data from other sensors. The camera can also detect user poses or gestures.

  • Actively illuminated camera system
  • Coupled to time-of-flight sensor or array of laser diodes
  • Captures two or three-dimensional images
  • Light source is semiconductor diodes
  • Processor uses artificial intelligence for decision-making
  • Machine learning techniques for anomaly analysis
  • Generative artificial intelligence for system performance enhancement
  • Algorithms improve generative artificial intelligence processing
  • Camera output fused with data from other sensors
  • User pose and gesture detection

Potential Applications: - Surveillance systems - Augmented reality applications - Gesture recognition technology - Robotics - Biometric security systems

Problems Solved: - Enhanced image capture in low light conditions - Improved decision-making through artificial intelligence - Efficient anomaly detection - Enhanced user interaction through gesture recognition - Improved system performance through generative artificial intelligence

Benefits: - Improved accuracy in image capture - Enhanced system efficiency - Increased security through gesture recognition - Enhanced user experience - Versatile applications in various industries

Commercial Applications: Title: Advanced Camera System with Artificial Intelligence for Enhanced Image Capture This technology can be utilized in security systems, augmented reality devices, robotics, and biometric identification systems. The market implications include improved security measures, enhanced user experiences, and increased efficiency in various industries.

Questions about the technology: 1. How does the artificial intelligence in the system improve decision-making processes? 2. What are the potential challenges in integrating this technology into existing camera systems?


Original Abstract Submitted

a measurement system may comprise an actively illuminated camera system, in some embodiments coupled to a time-of-flight sensor or an array of laser diodes beam split into a plurality of spatially separated lights. the camera system may capture two or three dimensional images, and the light source may comprise semiconductor diodes, such as light emitting diodes. the system includes a processor coupled to non-transitory computer readable medium and configured to use artificial intelligence to make one or more decisions. the processing may also involve artificial intelligence or machine learning techniques to analyze anomalous occurrences, or generative artificial intelligence to interface with a user or improve the performance of camera-based systems. algorithms may also be used to improve the performance of generative artificial intelligence processing. the camera output may be fused with data from other sensors, and the camera may also capture information about the pose or gestures of a user.