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This project proposes a real-time lane and sign board detection system utilizing the ESP32 Cam microcontroller equipped with a camera module, coupled with computer vision and deep learning techniques. The system employs convolutional neural networks (CNNs) and advanced deep learning algorithms to analyze video and image data captured by the ESP32
Yash-Dabhade/IOE-Road-Lane-Detection-and-Traffic-Sign-Recognition-using-ESP-32-Cam
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This project proposes a real-time lane and sign board detection system utilizing the ESP32 Cam microcontroller equipped with a camera module, coupled with computer vision and deep learning techniques. The system employs convolutional neural networks (CNNs) and advanced deep learning algorithms to analyze video and image data captured by the ESP32
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