Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with ...

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...

Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and ...

In the past, we have seen various consumer-grade Arduino and Raspberry Pi-based robot dogs like the Petoi Bittle and XGO 2, as well as the XGO Mini Pro built around the Kendryte K210/K510 AI processor ...

Laboratory automation has transformed bioanalytical research, yet smaller research laboratories face challenges in adopting such technologies due to limited resources, time, and technical expertise, ...

In the world of robotics, vision is a crucial sense that enables machines to perceive and interact with their environment. This post will guide you through the process of integrating OpenCV, a ...

This project demonstrates the implementation of real-time facial emotion recognition using the `deepface` library and OpenCV. The objective is to capture live video from a webcam, identify faces ...

Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...

Considering it's been almost impossible to buy a Raspberry Pi for about a year because of supply chain shortages, it's remarkable how many people continue to create interesting and increasingly useful ...

Shay loves learning new things through personal projects. Outside coding, Shay also loves gaming and playing the piano. There are various ways you can play videos on your computer, including using ...

Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of ...