Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
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License Plate Detection and Recognition
By:
Automatic Detection & Recognition of Vehicle License Plate from an image using Deep Learning ML Models
Product Overview
License Plate Recognition is one of the techniques used for vehicle identification purposes. The sole intention of this product is to find the most efficient way to recognize the number plate information from the digital image . This process involves detecting a vehicle, localizing the license plate and then segmenting & recognizing the characters from the license plate.
Key Data
Type
Model Package
Highlights
Vehicle Detection Model: Accepts images of any size. Uses gluoncv-model-zoo-detection Object Detection Network as a black box, merges the outputs related to vehicles (cars & buses) & ignores other classes.
License Plate OCR: The character segmentation and recognition over the rectified license plate is performed using a custom code using the open-cv library followed by a model trained for image classification for classification of the segmented characters.
We evaluated the system in terms of the percentage of correctly recognized license plates, considered correct if all characters were correctly recognized. The inference time is highly dependent on the number of vehicles detected in a single image. The avg response time for a single image single vehicle inference on the compute optimized ml.c5.2xlarge instance with 8vCPUs & 16GB Memory is approximately 3.25 secs. Our models are currently configured to use only CPU for inference & our future versions will have GPU inference capability enabled to further optimize the latency.
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Usage Information
Model input and output details
Input
Summary
Model takes input of a single file in the form of image/jpeg or a png format of any shape.
Limitations for input type
5 MB.
Input MIME type
image/jpegSample input data
Output
Summary
The model returns the output of the vehicle license plate in text format. Eg : "TH07BN5200"
Output MIME type
text/csvSample output data
"TH07BN5200"
Sample notebook
Additional Resources
End User License Agreement
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Support Information
AWS Infrastructure
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Learn MoreRefund Policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
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