Gregory Avady, Ph. D.

Technical Advisor

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About Greg

Dr. Gregory Avady is a seasoned engineer and technologist with over 25 years of experience advancing machine vision, machine learning, and automated inspection systems. His expertise spans both industrial and aerospace-grade technologies, with past contributions to the Russian Space Program and mission-critical inspection systems for the semiconductor and medical industries.

At Founders Legal, Gregory plays a strategic role in bridging advanced technology with legal innovation. His deep knowledge of optical tracking, adaptive filtering, and 3D metrology systems supports the firm’s IP and legal tech initiatives, particularly where AI intersects with patent strategy, regulatory compliance, and product innovation.

A recognized expert in algorithm development, Gregory has created proprietary software platforms and patented numerous methods for high-precision image analysis, object orientation, and defect detection. He is the inventor on 31 patents and has authored over 50 scientific publications in the fields of machine vision, data processing, and adaptive filtering.

Before joining Founders Legal, Gregory served in senior technical roles at Crane Currency, VitalSensors Technologies, and Eutecnics Inc., where he led R&D in real-time visual processing, pattern recognition, and noise-reduction systems. He holds a Ph.D. in Electrical Engineering from St. Petersburg State Electro-Technical University and is fluent in English and Russian.

Specialized Areas:

  • Artificial Intelligence & Machine Learning
  • Computer Vision & Imaging Systems
  • Advanced Sensor & Tracking Technologies
  • Automated Inspection & Quality Assurance
  • 3D Metrology & Spatial Analysis
  • Signal & Data Processing Algorithms

Education

  • Ph.D., Electrical Engineering – Electro-Technical University, St. Petersburg (RU)
  • M.S., Electrical Engineering – Daghestan State Technical University (RU), summa cum laude)

  • Object Location Method
  • This method makes it possible to find the 3D coordinates of an object using linear (1D) optoelectronic sensors (LOES) with cylindrical optics.  The method provides high speed and high measurement accuracy.
  • Machine Vision System for Determining the Location and/or Orientation of Objects
  • These systems have three or more LOES with cylindrical optics and are based on the method mentioned above.  These systems have high speed and low level of measurement errors.
  • Trackers
  • These trackers make it possible to determine the angular coordinates of an object/target in three-dimensional space using LOES with cylindrical optics.  These trackers provide high speed and high measurement accuracy.
  • Machine Vision Systems for Regulation of Object Location in 3D Space
  • These systems produce signals, which proportionally depend on digression of object location from necessary location.  These systems use LOES and work with special location of known marks on the object.
  • Ranging Systems
  • These systems produce signals proportional to the range of the object.  They include LOES with special optics and have high speed and low cost.
  • Systems for Ray Direction to Target
  • The systems include the target coordinators mentioned above and allow the laser beam to be directed to the target.
  • Adaptive Rank Filter
  • Developed the concept of the adaptive rank filter.  This filter utilizes the main advantage of rank filters – stability at high levels of distortion.  In addition, it allows you to find the edges of an object, increase contrast, etc. In an adaptive rank filter, the rank depends on the information in the current window (kernel).
  • Method of the Least Squared Distances
  • Developed a method for solving a system of overdetermined linear equations (i.e. the number of independent equations is greater than the number of unknowns).  This method allows you to reduce calculation errors at a limited computer resolution.
  • Calibration Method for Machine Vision Systems
  • This method allows you to select the base coordinate system at any location with high accuracy. This makes the use of machine vision systems more flexible.
  • Monocular TV Measuring Systems
  • These systems have only one 2D camera and determine the location and orientation of a 3D object using information about fiducial marks on it.

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