18535946. DETERMINE PATTERNS ASSOCIATED WITH OBJECTS IN CAPTURED IMAGES simplified abstract (META PLATFORMS TECHNOLOGIES, LLC)
Contents
DETERMINE PATTERNS ASSOCIATED WITH OBJECTS IN CAPTURED IMAGES
Organization Name
META PLATFORMS TECHNOLOGIES, LLC
Inventor(s)
Saransh Solanki of Seattle WA (US)
Gregg Wygonik of Woodinville WA (US)
James Tichenor of Seattle WA (US)
DETERMINE PATTERNS ASSOCIATED WITH OBJECTS IN CAPTURED IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18535946 titled 'DETERMINE PATTERNS ASSOCIATED WITH OBJECTS IN CAPTURED IMAGES
Simplified Explanation: The patent application describes an apparatus that can identify and track objects of interest in images captured by a wearable eyewear device.
- The apparatus includes machine-readable instructions stored in memory that enable a processor to identify objects of interest in different images taken at different times.
- It can determine patterns associated with the identified objects of interest, even if they are hidden or undetected by the user of the wearable eyewear device.
Key Features and Innovation:
- Identification and tracking of objects of interest in images captured by wearable eyewear devices.
- Determination of patterns associated with the identified objects.
- Ability to detect hidden or undetected objects of interest.
Potential Applications: This technology could be used in augmented reality applications, security systems, and assistive technologies for visually impaired individuals.
Problems Solved:
- Difficulty in identifying and tracking objects of interest in dynamic environments.
- Challenges in detecting hidden or undetected objects in images.
Benefits:
- Enhanced object recognition capabilities in wearable eyewear devices.
- Improved user experience in various applications.
- Increased efficiency in object tracking and pattern recognition.
Commercial Applications: Potential commercial applications include augmented reality gaming, surveillance systems, and navigation assistance for the visually impaired.
Prior Art: Readers can explore prior research on object recognition in wearable devices, image processing algorithms, and pattern detection technologies.
Frequently Updated Research: Stay informed about advancements in computer vision, machine learning, and wearable technology research relevant to object recognition and tracking.
Questions about Object Recognition Technology: 1. How does this technology improve object identification in wearable eyewear devices? 2. What are the potential real-world applications of object recognition in wearable technology?
Original Abstract Submitted
According to examples, an apparatus may include a memory on which is stored machine-readable instructions that when executed by a processor, cause the processor to identify an object of interest in at least one first image of an environment captured by a wearable eyewear device during a first time period and identify the object of interest in at least one second image of the environment captured by a wearable eyewear device during a second time period. The processor may also determine a pattern associated with the object of interest based on the at least one first image of the identified object of interest and the at least one second image. In one regard, the processor may determine patterns associated with the object of interest, which may be hidden to or otherwise undetected by a user of the wearable eyewear device.
