New adversarial techniques developed by engineers can make objects 'invisible' to image detection systems that use deep-learning algorithms. These techniques can also trick systems into thinking they ...

Near-infrared (NIR) photon detection and object recognition are crucial technologies for all-weather target identification. Conventional NIR detection systems that rely on photodetectors and von ...

Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now ...

Real-time object detection on mobile platforms is a crucial but challenging computer vision task. However, it is widely recognized that although the lightweight object detectors have a high detection ...

According to the National Safety Council (NSC), as many as 40,000 people died in motor vehicle crashes in the U.S. in 2016, the highest total in more than a decade. Among the main causes were speeding ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Integrating advanced object detection into your projects has become more accessible with the Raspberry Pi AI HAT and YOLO models. This guide outlines a detailed process for setting up the hardware, ...