Microsoft technology licensing, llc (20240212394). OBJECT DATA STORAGE simplified abstract
OBJECT DATA STORAGE
Organization Name
microsoft technology licensing, llc
Inventor(s)
William Louis Thomas of Redmond WA (US)
Youyou Han Oppenlander of Bothell WA (US)
Steven John Bowles of Kenmore WA (US)
Qingfen Lin of Redmond WA (US)
OBJECT DATA STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240212394 titled 'OBJECT DATA STORAGE
Simplified Explanation:
The patent application describes systems and methods for object data storage, including generating profiles for objects in a directory, matching feature vectors from live image scans to identify objects, and outputting information based on the identified objects.
Key Features and Innovation:
- Generating profiles for objects with feature vectors and global unique identifiers.
- Creating search scopes with unique identifiers for efficient matching.
- Matching feature vectors from live image scans to profiles for object identification.
- Outputting information corresponding to the identified objects.
Potential Applications: This technology can be applied in various fields such as security, inventory management, and object recognition systems.
Problems Solved: This technology addresses the need for efficient object data storage, retrieval, and identification in complex systems.
Benefits:
- Improved object data storage and retrieval efficiency.
- Enhanced object identification accuracy.
- Streamlined processes in security and inventory management systems.
Commercial Applications: Potential commercial applications include security systems, inventory management software, and object recognition technology for various industries.
Prior Art: Readers can explore prior art related to object data storage, feature matching, and object identification technologies in the fields of computer vision and artificial intelligence.
Frequently Updated Research: Stay updated on the latest research in object data storage, feature matching algorithms, and object identification techniques to enhance the application of this technology.
Questions about Object Data Storage: 1. How does this technology improve object identification processes? 2. What are the potential limitations of using feature vectors for object matching?
Original Abstract Submitted
the disclosure herein describes systems and methods for object data storage. in some examples, the method includes generating a profile for an object in a directory, the profile including a first feature vector corresponding to the object and a global unique identifier (guid) corresponding to the first feature vector in the profile; generating a search scope, the search scope including at least the guid corresponding to the profile; generating a second feature vector from a live image scan; matching the generated second feature vector from the live image scan to the first feature vector using the generated search scope; identifying the guid corresponding to the first feature vector that matches the second feature vector; and outputting information corresponding to the object of the profile identified by the guid corresponding to the first feature vector.