Machine Learning in Mobility: Transforming Road Operations with Computer Vision

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The mobility industry is rapidly changing and improving processes more efficiently by taking advantage of many different Machine Learning applications that are dramatically transforming mobility systems and infrastructure. We saw several examples at the virtual conference we held about Intelligent Mobility where we learned how Machine Learning is applied in transport infrastructure as well as in Logistics.

Smart License Plate Recognition

Today we are excited to share the presentation led by Ángela Montánchez and Daniel Garoz, both Innovation Managers at Openvia Mobility by Globalvia Group, a global infrastructure concession management leader. This video showcases a real-world example of how Machine Learning and computer vision are transforming road operations and the mobility industry. You can now watch the full video recording and learn more about this use case and its business impact.

This innovative Machine Learning solution offers high precision and high confidence license plate recognition predictions by leveraging both image data and tabular data on roadway activity in real time to benefit transportation and toll road concession companies that are looking to reduce operational costs with process automation while enhancing driver experiences.

Concession companies operating motorways are constantly looking for ways to automate processes to control costs and preserve margins. However, traditional systems solely relying on Optical Character Recognition (OCR) technology can cause higher rates of mismatches resulting in lost revenue and customer satisfaction issues. Fortunately, this can easily change by leveraging state-of-the-art Machine Learning and Computer Vision techniques on top of OCR. The Smart License Plate Recognition solution can automatically read a wide variety of license plates with very high accuracy and consistency, allowing your personnel to focus on higher order business goals without worrying about repetitive tasks. Business benefits include: 

  • Immediately detecting passing vehicles (in milliseconds)
  • Minimizing mismatches 
  • Decreasing human intervention costs
  • Saving operators time so they can focus on higher value tasks

In case you could not make it to the live conference, you can still catch up with the webinar recordings of this and other presentations posted on the BigML Youtube channel. We also invite you to check out the accompanying presentation, available on the BigML SlideShare page.

Do you have a predictive transportation use case in mind? If this example inspires you and you think you should seriously start applying Machine Learning in your organization instead of merely experimenting, it is time to contact the BigML team that can bring its deep subject matter expertise to accelerate your achievements.

Stay tuned for future webinars on real-life Machine Learning applications!

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