17940955. Monitoring of User-Selected Conditions simplified abstract (Micron Technology, Inc.)
Contents
- 1 Monitoring of User-Selected Conditions
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Monitoring of User-Selected Conditions - 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
Monitoring of User-Selected Conditions
Organization Name
Inventor(s)
Monitoring of User-Selected Conditions - A simplified explanation of the abstract
This abstract first appeared for US patent application 17940955 titled 'Monitoring of User-Selected Conditions
Simplified Explanation
The abstract describes a method for a digital camera that can adapt to monitor a scene and detect a specific condition of interest to a user. The camera can classify images using weight matrices, store image data in memory cells, and compute classifications through multiplication and accumulation. If there are mismatches between the computed classifications and user-identified classifications, the camera can adjust weight matrices for improved detection capabilities.
- The digital camera can classify images using weight matrices in a first mode.
- It stores image data in memory cells in a second mode.
- It computes classifications through multiplication and accumulation using the memory cells.
- It can adjust weight matrices based on user-identified classifications for improved detection capabilities.
Potential Applications
This technology could be applied in surveillance systems, medical imaging devices, and autonomous vehicles for object detection and recognition.
Problems Solved
This technology solves the problem of accurately detecting specific conditions or objects in a scene, even when there are mismatches between computed and user-identified classifications.
Benefits
The benefits of this technology include improved accuracy in detecting conditions of interest, adaptability to different scenes, and potential for real-time image classification.
Potential Commercial Applications
Potential commercial applications of this technology include security cameras, medical imaging equipment, and automotive systems for enhanced object detection and recognition capabilities.
Possible Prior Art
One possible prior art for this technology could be image recognition algorithms used in machine learning models for object detection and classification.
What are the limitations of this technology in real-world applications?
The limitations of this technology in real-world applications may include computational complexity, power consumption, and the need for continuous updates to weight matrices for accurate detection.
How does this technology compare to existing image recognition systems?
This technology offers the advantage of adaptability and self-improvement based on user feedback, which can lead to more accurate and reliable image classifications compared to traditional image recognition systems.
Original Abstract Submitted
A method for a digital camera adaptable to monitor a scene to detect a condition of interest to a user. The digital camera can program, in a first mode, first memory cells according to first weight matrices to classify images captured by the digital camera. Second memory cells are programmed in a second mode to store data representative of the images. The digital camera can perform operations of multiplication and accumulation using the first memory cells to compute first classifications of the images. In response to mismatches between the first classifications and second classifications identified by the user for the images, the digital camera can execute instructions to determine second weight matrices and program, in the first mode, third memory cells, according to the second weight matrices for improved capability in detecting the condition represented by image classifications in a predetermined category.
