Samsung electronics co., ltd. (20240185584). DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF simplified abstract
Contents
- 1 DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF
Organization Name
Inventor(s)
DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240185584 titled 'DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF
Simplified Explanation
The patent application describes a data recognition model construction apparatus that uses a video inputter to receive a video, an image composition unit to generate a composition image based on a common area in a plurality of images, a learning data inputter to receive the composition image, a model learning unit to train the data recognition model using the composition image, and a model storage to store the trained model.
- Video inputter receives video input
- Image composition unit generates composition image from common areas in multiple images
- Learning data inputter receives composition image
- Model learning unit trains data recognition model using composition image
- Model storage stores trained data recognition model
Potential Applications
The technology could be applied in various fields such as image recognition, video analysis, surveillance systems, and automated monitoring systems.
Problems Solved
This technology helps in improving data recognition accuracy, especially in scenarios where multiple images need to be analyzed collectively.
Benefits
The apparatus simplifies the process of constructing data recognition models by utilizing common areas in images to generate a composition image for training.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced security systems that require accurate data recognition capabilities.
Possible Prior Art
One possible prior art could be the use of image composition techniques in machine learning models for data recognition tasks.
Unanswered Questions
How does this technology compare to existing data recognition model construction methods?
This article does not provide a direct comparison with existing methods, leaving the reader to wonder about the advantages and disadvantages of this new approach.
What are the specific industries or sectors that could benefit the most from this technology?
The article does not delve into the specific industries or sectors where this technology could have the most significant impact, leaving room for further exploration and analysis.
Original Abstract Submitted
disclosed is a data recognition model construction apparatus. the data recognition model construction apparatus includes a video inputter configured to receive a video, an image composition unit configured to, based on a common area included in each of a plurality of images that form at least a portion of the video, generate a composition image by overlaying at least a portion of the plurality of images, a learning data inputter configured to receive the generated composition image, a model learning unit configured to make a data recognition model learn using the generated composition image, and a model storage configured to store the learnt data recognition model.
