Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC) 2021
DOI: 10.22260/isarc2021/0055
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A Pull-Reporting Approach for Floor Opening Detection Using Deep-Learning on Embedded Devices

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Cited by 4 publications
(2 citation statements)
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“…TensorFlow Lite is the TensorFlow framework designed to visualize inference on small devices, meant to avoid a round-trip data computation to and from the server capability of realtime detection and work without internet connection. [25] After the model is trained and converted to TensorFlow format, it will be converted to the TensorFlow Lite version. The TensorFlow Lite version achieves satisfactory accuracy while at the same time occupying less space.…”
Section: Online Evaluation (Mobile Device)mentioning
confidence: 99%
“…TensorFlow Lite is the TensorFlow framework designed to visualize inference on small devices, meant to avoid a round-trip data computation to and from the server capability of realtime detection and work without internet connection. [25] After the model is trained and converted to TensorFlow format, it will be converted to the TensorFlow Lite version. The TensorFlow Lite version achieves satisfactory accuracy while at the same time occupying less space.…”
Section: Online Evaluation (Mobile Device)mentioning
confidence: 99%
“…In recent years, AI has played a positive role in complex pattern recognition and solving real-world problems. , After the emergence of machine learning (ML) and deep learning (DL), researchers have employed these technologies in various fields such as healthcare, , construction, bioinformatics, finance, , and agriculture . In the field of nanomaterials science, researchers have started to employ AI-based DL and ML technology for RHEED interpretation, such as employing statistically available methods with ML for RHEED interpretation. , For instance, authors used principal component analysis (PCA) and k -means clustering to analyze different types of perovskite films to understand their stoichiometry.…”
Section: Introductionmentioning
confidence: 99%