Robert bosch gmbh (20240176337). INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION simplified abstract
Contents
- 1 INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION
Organization Name
Inventor(s)
Felipe Condessa of Pittsburgh PA (US)
Devin Willmott of Pittsburgh PA (US)
Ivan Batalov of Pittsburgh PA (US)
João D. Semedo of Pittsburgh PA (US)
Bahare Azari of San Jose CA (US)
INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240176337 titled 'INDUSTRIAL QUALITY MONITORING SYSTEM WITH PRE-TRAINED FEATURE EXTRACTION
Simplified Explanation
The patent application describes methods and systems for classifying an article of manufacture based on measurements captured at different stations of a manufacturing process. Here is a simplified explanation of the abstract:
- A classifier is trained using training data that includes a feature vector related to the article based on measurements captured at a specific station in the manufacturing process.
- The training data also includes encoded time series data representing the history of measurements of articles of the same type captured at multiple stations prior to the specific station.
Potential Applications
This technology could be applied in various industries such as manufacturing, quality control, and supply chain management.
Problems Solved
1. Efficient classification of articles of manufacture based on measurements captured at different stages of the manufacturing process. 2. Improved accuracy in identifying and categorizing articles of the same type.
Benefits
1. Enhanced quality control processes. 2. Streamlined manufacturing operations. 3. Increased productivity and efficiency in production.
Potential Commercial Applications
"Enhancing Manufacturing Classification Processes with Advanced Technology"
Possible Prior Art
There may be existing systems or methods for classifying articles of manufacture based on measurements, but the specific combination of feature vectors and encoded time series data as described in this patent application may be novel.
Unanswered Questions
How does this technology handle variations in measurements due to different manufacturing processes or materials used?
The patent application does not provide details on how the classifier accounts for variations in measurements caused by different manufacturing processes or materials.
What is the scalability of this technology for large-scale manufacturing operations?
The patent application does not address the scalability of the classification system for use in large-scale manufacturing operations.
Original Abstract Submitted
methods and systems for classifying a article of manufacture are disclosed. a classifier is trained with training data including 1) a feature vector related to the article based on measurements related to the article captured at a particular station of a manufacturing process and 2) encoded time series data representing a history of measurements of articles of the same type as the article of manufacture captured at a sequence of stations of the manufacturing process prior to the particular station.
