Registered
METHOD AND DEVICE FOR TRAINING IMAGE ANALYSIS NEURAL NETWORK MODEL AND INTELLIGENT IMAGE CAPTURING APPARATUS EMPLOYING THE SAME
- Inventors
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Yoon Hyunjin, Han Mi Kyong
- Application No.
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17235537 (2021.04.20)
- Publication No.
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20210326654 (2021.10.21)
- Registration No.
- 11682213 (2023.06.20)
- Country
- UNITED STATES
- Project Code
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19MH1500, Development and Demonstration of Smart City Service over 5G Network,
Han Mi Kyong
- Abstract
- The present disclosure provides a method and a device for training a neural network model for use in analyzing captured images, and an intelligent image capturing apparatus employing the same. The neural network model can be trained by performing the image reconstruction and the image classification using based on image data received from a plurality of image capturing devices installed in the monitoring area, calculating at least one loss function based on data processed by the neural network model or the neural network model training device, and determining parameters minimizing the loss function. In addition, the neural network model can be updated through the re-training taking into account the newly acquired image data. Accordingly, the image analysis neural network model can operate with high precision and accuracy.
- KSP Keywords
- Image Analysis, Image classification, Image data, Image reconstruction, Network model, Precision and accuracy, Training device, Training image, high-precision, loss function, neural network, neural network model, re-training