Abstract: Infrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field ...

In this video, we use Python to compare center and edge impacts in a physics simulation. Learn how impact position affects motion, force distribution, and outcomes through clear visualizations and ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

Abstract: DDoS attack detection has become crucial for securing the Internet of Things (IoT). However, next-generation intelligent networks produce large-scale, heterogeneous data, and ...

Microsoft is introducing a new scareware sensor for the Microsoft Edge web browser, which helps detect scam pages more quickly and ensures that Defender SmartScreen blocks them faster. In scareware ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

As X-ray detection plays an indispensable role in industrial inspection, medical diagnosis, and security checks, the search for high-performance detection materials has never been more critical.

Wood, a widely distributed renewable resource, plays a vital role in accelerating urbanisation. However, wood grain defects pose significant safety hazards. Detecting these defects is challenging due ...