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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

Automatic Detection & Recognition of Vehicle License Plate from an image using Deep Learning ML Models
  • This product has been removed and is no longer available to new customers.

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
Fulfillment Methods
Amazon SageMaker

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/jpeg
Sample input data

Output

Summary

The model returns the output of the vehicle license plate in text format. Eg : "TH07BN5200"

Output MIME type
text/csv
Sample output data
"TH07BN5200"

End User License Agreement

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Support Information

AWS Infrastructure

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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