Neural network-based parking system object detection and predictive modeling
A neural network-based parking system with real-time license plate detection and vacant space detection using hyper parameter optimization is presented. When number of epochs increased from 30, 50 to 80 and learning rate tuned to 0.001, the validation loss improved to 0.017 and training object loss...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/107583/1/MohdAzmanAbas2023_NeuralNetworkBasedParkingSystem.pdf |