Abstract: Existing object detection algorithms are often constrained by the high computational costs associated with large network structures in practical applications. To facilitate the development ...

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 ...

Abstract: This paper presents a spike-timing-dependent plasticity (STDP) driven silicon retina designed using 7nm FinFET technology for detecting object motion and looming threats inspired by the ...

This work presents important information on rhythmicity of overlapping target and distractor processing and how this affects behaviour. The methods are, in general, clearly laid out and defensible, ...

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 ...

If you’ve got an existing smart home rig, motion sensors can be a useful addition to your setup. You can use them for all kinds of things, from turning on lights when you enter a room, to shutting off ...

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 ...

Philips has just announced a monster list of new products for its Hue lineup, part of an overhaul announced at the IFA conference in Berlin. In recent years, the Philips Hue line has struggled, as ...

We may receive a commission on purchases made from links. Motion detectors might make you think about smart security systems and surveillance, but they can be great and inexpensive tools that you can ...