Hon Hai Precision Industry has patented a method for classifying cell densities using artificial computer intelligence. The method involves inputting cell images into a trained convolutional neural network to determine density ranges based on positional information. This innovation can be applied in electronic devices and storage mediums. GlobalData’s report on Hon Hai Precision Industry 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 Hon Hai Precision Industry, Device power optimization was a key innovation area identified from patents. Hon Hai Precision Industry's grant share as of May 2024 was 57%. Grant share is based on the ratio of number of grants to total number of patents.
Method for classifying cell densities using convolutional neural network
A recently granted patent (Publication Number: US12002272B2) discloses a method for classifying densities of cells using a convolutional neural network model. The method involves obtaining positional information of central points of groups of encoding features, inputting test images of biological cells into the trained model to determine densities, and identifying the nearest central point to the test image's encoding feature to classify its density. The patent also details the training process, where different groups of encoding features are obtained by inputting training images with varying densities into the model until completion, allowing for accurate density classification based on central points.
Furthermore, the patent extends to an electronic device and a non-transitory storage medium storing commands for implementing the method. The electronic device includes a storage device, processor, and programs to obtain positional information, input test images, determine central points, and classify densities. The storage medium contains commands for obtaining training images, inputting them into the model for training, and determining central points of encoding features. This innovative approach to classifying cell densities using a convolutional neural network model showcases advancements in image analysis and classification techniques, particularly in the field of biological cell research. The method's detailed steps and the inclusion of electronic device and storage medium implementations highlight the potential for practical applications in various scientific and medical settings requiring accurate cell density classification.
To know more about GlobalData’s detailed insights on Hon Hai Precision Industry, buy the report here.
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