Accelerometers turn motion into measurable signals. From tilt and vibration to g-forces, they underpin countless designs. In this “Fun with Fundamentals” entry, we demystify their operation and take a ...

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) ...

This project is a Python-based application that performs real-time motion detection using OpenCV. It processes video streams from a webcam or an uploaded file, identifies moving "blobs," and logs ...

Aside from its various processor, memory, and device capacity improvements, the new Philips Hue Bridge Pro comes with a killer feature: the ability to turn your existing Hue lights into motion sensors ...

Watch products with ShopSavvy for price drops, stock alerts, deals and more. Deeply Research This Product Ring Doorbell motion detection has evolved substantially through advanced technology ...

Ring Doorbell Motion Detection Range: How Far Does It Reach? The Ring Video Doorbell motion detection range extends approximately 15-30 feet from the device, though optimal performance occurs within ...

Abstract: The use of millimeter-wave radar (mmWave radar) for human motion detection is essential in the realm of smart home Internet-of-Things (IoT) scenarios due to its non-intrusive nature, privacy ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

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 ...