Microcontrollers now process computer vision locally with neural hardware, running models like YOLO without cloud ...

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Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

This app demonstrates the integration of CameraX with TensorFlow Lite to create a practical computer vision application. It detects objects in real-time using the SSD MobileNet v1 model and calculates ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach The TensorFlow Core APIs provide a set of comprehensive, composable, and ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...

Detection In this project, vehicle (car) detection takes a captured image as input and produces the bounding boxes as the output. We use TensorFlow Object Detection API, which is an open source ...