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ESP32-CAM Currency Recognition with Edge Impulse
How-ToMachine Learning

ESP32-CAM Currency Recognition with Edge Impulse

via Dev.to TutorialMessin1mo ago

Introduction Artificial Intelligence is no longer limited to powerful computers and cloud servers. With the rise of TinyML, developers can now run machine learning models directly on low-cost microcontrollers. One fascinating application of this technology is currency recognition using the ESP32-CAM and Edge Impulse. This ESP32 CAM Currency Recognition demonstrates how to build a smart system capable of recognizing different banknotes using computer vision and embedded AI. Originally inspired by a project from CircuitDigest, this guide presents the concept in a developer-friendly blog format suitable for sharing knowledge and expanding the reach of embedded AI innovation on platforms like dev.to. Why ESP32-CAM? The ESP32-CAM, developed by Espressif Systems, is a powerful yet affordable microcontroller with built-in Wi-Fi and a camera module. It is ideal for embedded vision applications because it offers: Integrated OV2640 camera Built-in Wi-Fi and Bluetooth Low cost and compact size Su

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