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This article discusses the use of deep learning models on edge devices such as Raspberry Pi, Google Coral TPU, and NVidia Jetson Nano. The team uses low-coding IoT applications to route, transform, and acquire data before streaming it to their data space. The edge applications classify images and sensor readings in real-time and send the results to Flink SQL and Apache NiFi for further processing.
