Pegatron has been granted a patent for a classification method that analyzes operator efficiency at assembly stations. The method involves extracting and merging feature data from images and personal information to create a feature matrix, which is then used to classify operator performance. GlobalData’s report on Pegatron gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Pegatron, V2V communication antennas was a key innovation area identified from patents. Pegatron's grant share as of July 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Operator efficiency classification method using feature data
The patent US12073603B2 presents a classification method designed to evaluate the efficiency of operators at assembly stations through a systematic analysis of visual and personal data. The method begins with the extraction of feature data from a series of images depicting operators at their respective stations. This data is transformed into feature vectors, which are then merged into a feature matrix. The classification process utilizes this matrix to assess operator efficiency, ultimately yielding a classification result. Additionally, the method includes steps for recording an image stream during assembly operations and extracting continuous image frames to enhance the data set.
Further refinements to the classification method involve the use of advanced techniques such as autoencoders or convolutional neural networks for feature extraction. The process also incorporates personal data of the operators, which may include attributes like gender, age, and production line station. The classification method allows for the prediction of changes in personal data over time, enhancing the accuracy of the efficiency assessment. Moreover, the method includes mechanisms for clustering historical yield data and training classifiers based on efficiency labels, ensuring a comprehensive evaluation of operator performance. An electronic apparatus is also described, which integrates storage and processing capabilities to implement the classification method effectively.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
