Revolutionizing AI Computing with Ultra-Low Power Chips In an era where energy demands are skyrocketing and the global energy crisis ...

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 ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements. The mechanism relies on visual ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Abstract: Industry 4.0 have transformed the fabrication industry by increasing productivity, product quality, and reducing production costs. The application of robotic arms in fabrication has become a ...

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 ...

I tried to run the object detection using tensorflow example on macOS and it did not compile. The compilation errors are because of conflicting usage of conditions in ...