Intel corporation (20240346801). MEASURING OBJECT PECULIARITY IN DISTRIBUTED ENVIRONMENTS simplified abstract
Contents
MEASURING OBJECT PECULIARITY IN DISTRIBUTED ENVIRONMENTS
Organization Name
Inventor(s)
Priyanka Mudgal of Portland OR (US)
Rita Hanna Wouhaybi of Portland OR (US)
Caleb Mark Mcmillan of Forest Grove OR (US)
Patrick L. Connor of Beaverton OR (US)
Ritesh Kumar Rajore of Bangalore (IN)
Jennifer Marie Williams of Hillsboro OR (US)
MEASURING OBJECT PECULIARITY IN DISTRIBUTED ENVIRONMENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346801 titled 'MEASURING OBJECT PECULIARITY IN DISTRIBUTED ENVIRONMENTS
The abstract of this patent application describes an apparatus that can generate descriptive data of physical characteristics of objects based on camera sensor data, identify common and unique characteristics of different objects, and determine if the objects are the same or different based on these characteristics.
- The apparatus generates descriptive data of physical characteristics of objects using camera sensor data.
- It identifies common physical characteristics shared by multiple objects.
- It distinguishes unique physical characteristics of individual objects.
- It determines if objects are the same or different based on their common and unique characteristics.
Potential Applications: This technology can be used in security systems to identify and track objects. It can be utilized in manufacturing processes for quality control and object recognition. It may have applications in augmented reality for object recognition and interaction.
Problems Solved: This technology helps in accurately identifying and distinguishing between different objects. It streamlines the process of analyzing physical characteristics of objects. It aids in making decisions based on the common and unique characteristics of objects.
Benefits: Improved object recognition and tracking capabilities. Enhanced security measures through accurate identification of objects. Efficient manufacturing processes with automated quality control.
Commercial Applications: Title: Object Recognition and Identification Technology for Enhanced Security and Manufacturing Processes This technology can be commercialized in the security industry for surveillance systems. Manufacturing companies can benefit from implementing this technology for quality control purposes.
Questions about Object Recognition and Identification Technology:
1. How does this technology improve object recognition compared to traditional methods? This technology utilizes camera sensor data to generate descriptive data of physical characteristics, allowing for more accurate and efficient object recognition.
2. What are the potential limitations of using this technology in real-world applications? The limitations may include the need for high-quality camera sensors and potential challenges in identifying unique characteristics in complex environments.
Original Abstract Submitted
example apparatus disclosed herein are to generate first descriptive data of a first physical characteristic of a first object based on first camera sensor data from a first camera sensor, and generate second descriptive data of a second physical characteristic of a second object based on second camera sensor data from a second camera sensor different from the first camera sensor. disclosed example apparatus are also identify, based on the first descriptive data and the second descriptive data, common physical characteristics associated with both the first object and the second object, first unique physical characteristics associated with the first object, and second unique physical characteristics associated with the second object. disclosed example apparatus are further to identify the first object and the second object as one of a same object or different objects based on the common physical characteristics, the first unique physical characteristics, and the second unique physical characteristics.
