Company Filing History:
Years Active: 2020
Title: Gavriel Adler: Innovator in Video Surveillance Technology
Introduction
Gavriel Adler is a notable inventor based in Brookline, MA (US), recognized for his contributions to video surveillance technology. With a total of two patents to his name, Adler has developed innovative methods that enhance the efficiency and effectiveness of video monitoring systems.
Latest Patents
Adler's latest patents include "Robust motion filtering for real-time video surveillance" and "Method for new package detection." The first patent describes a video monitoring method that determines motion changes in a set of video frames to identify potential objects. This method involves defining one or more bounding boxes around these potential objects. The bounding boxes are then spatially and temporally filtered to eliminate candidates that do not meet the criteria, allowing only the most relevant potential objects to be classified or identified. The second patent outlines a method for processing the arrival or removal of packages within the field of view of a video camera. This method includes a database for recording packages placed in the camera's view and detects human entry and exit from the field of view. It also records the delivery or removal of objects in the database and determines whether a newly arrived package is placed alongside or on top of an existing package.
Career Highlights
Gavriel Adler works at Bossa Nova Robotics, Inc., where he applies his expertise in video surveillance technology. His innovative approaches have significantly contributed to advancements in the field, particularly in real-time monitoring and package detection.
Collaborations
Adler collaborates with talented individuals such as Marios Savvides and An Pang Lin, who share his commitment to innovation in technology.
Conclusion
Gavriel Adler's work in video surveillance technology exemplifies the impact of innovative thinking in enhancing security and monitoring systems. His patents reflect a dedication to improving real-time analysis and object detection, making significant strides in the industry.