This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture. The objective is to automate the process of identifying whether ...

Spiking Neural Networks (SNNs), inspired by neuroscience principles, have gained attention for their energy efficiency. However, directly trained SNNs lag behind Artificial Neural Networks (ANNs) in ...

The makers and handcrafters at Master Sergeich create incredible DIY projects using yogurt cups. Donald Trump's approval rating suddenly shifts with Gen Z Bodycam footage shows Powerball winner ...

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 ...

Maxar Intelligence, the leading provider of secure, precise geospatial insights, announced today that it was awarded Delivery Order 01 under the Luno A program by the National Geospatial-Intelligence ...

Researchers at the Institute of Automation, Chinese Academy of Sciences and Peking University have recently developed a novel approach to few-shot object detection. This innovative method, detailed in ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...