Using TensorFlow Lite Results with AI Hazard Detection on Android

Joel Ivory Johnson

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7 Jan 2021CPOL3 min read

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In this entry of the AI Hazard Detection on Android series we will interpret the results and provide the relevant information to the user.

Here we look at how to highlight objects on the screen. We also note that not every object detected is something we want to alert the user to.

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This article is part of the series 'Realtime Hazard Detection on Android with Tensorflow Lite ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Joel Ivory Johnson

Software Developer

United States

I attended Southern Polytechnic State University and earned a Bachelors of Science in Computer Science and later returned to earn a Masters of Science in Software Engineering. I've largely developed solutions that are based on a mix of Microsoft technologies with open source technologies mixed in. I've got an interest in astronomy and you'll see that interest overflow into some of my code project articles from time to time.

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Twitter:@j2inet

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Using TensorFlow Lite Results with AI Hazard Detection on Android

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