computer vision
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How to Do Helmet Detection with ESP32-CAM Using CircuitDigest Cloud Think of a busy road where hundreds of riders pass every minute, some wearing helmets, many not, and imagine trying to monitor all of them manually. It’s almost impossible to keep track in real time. Now imagine a small device quietly watching the scene, capturing an image with a single trigger, and instantly telling you whether safety rules are being followed. That is exactly what this ESP32-… |
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How to Do Object Detection With ESP32-Cam Using CircuitDigest Cloud This tutorial shows you how to build a real-time object detection system using the ESP32-CAM module and the CircuitDigest Cloud Object Detection API. The system captures an image on button press, sends it to the cloud via wireless or internet connection, retrieves the identified objects with name(s), how many there were and how confident (how much certainty the algorithm has) of the object… |
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Automatic Waste Segregation System Using Arduino UNO Q Proper waste sorting is very important for keeping our neighbourhoods clean and saving resources for the future. When we mix food scraps, plastic, paper, and batteries in the same bin, recycling becomes hard, landfills fill up quickly, and harmful chemicals leak into the soil and water. Over time, this creates bigger problems like higher cleanup costs and more damage… |
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Animatronic Human-like Home assistant (Skully) By Archit Jain Technology today is rapidly transforming the way humans interact with machines, making systems more intuitive, lifelike, and intelligent. Advancements in Artificial Intelligence (AI), robotics, and embedded systems have opened new pathways for creating machines that can mimic human expression and behaviour. This… |
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Gesture Link By Moksha Kumbhaj Gesture Link is an assistive technology system designed to improve communication and independence for differently-abled individuals. The project combines two main modules: Visora (AI-powered smart glasses) and Gestura (bilateral assistive gloves) The goal of this project is simple but powerful: to reduce… |
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3D Print Failure Detection Using AI with PrintGuard 3D printing failures are a waste of time, material, and energy. PrintGuard by Oliver Bravery offers real-time 3D print failure detection using AI on edge devices that addresses this. It’s designed specifically for edge devices like personal computers or embedded systems, and uses a custom computer vision model to achieve live monitoring through camera feeds and detect failures as and when they… |
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Hand Gesture Recognition using ESP32 and Python This ESP32 project is an exciting and interactive way to control LEDs using hand gestures. We will use an ESP32 board, Python, MediaPipe, and OpenCV to create a system that can detect specific hand gestures and translate them into actions that control LEDs. MediaPipe will be used to recognize the hand gestures, while OpenCV will capture the real-time video feed from a webcam. Based on the… |
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MoondreamObjectTracking: A Simple Way to Add Object Detection to Robots Ben Caunt, from Warm Automation, has showcased his new open-source project that allows robots to detect and track objects in real time using Moondream AI and OpenCV. The project, called MoondreamObjectTracking, combines AI-based object detection with optical flow tracking to follow objects efficiently. It works by capturing video from a webcam, identifying objects using Moondream’s vision… |
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This Robot Predicts Your Next Move to Play Air Hockey Remember the thrill of playing against a computer in classic games like chess or ping pong? Now imagine that experience brought to life, where a robot not only competes against you but predicts your every move. That’s exactly what the DIY Air Hockey Robot does. The DIY Air Hockey Robot was created by the YouTuber known as zeroshotrobotics, and it uses real-time computer vision and predictive… |
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Raspberry Pi Based Emotion Recognition using OpenCV, TensorFlow, and Keras In this tutorial, we are going to implement an Emotion Recognition System or a Facial Expression Recognition System on a Raspberry Pi 4. We are going to apply a pre-trained model to recognize the facial expression of a person from a real-time video stream. The “FER2013” dataset is used to train the model with the help of a VGG-like Convolutional Neural Network (CNN). … |
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Hand Gesture Recognition using Raspberry Pi and OpenCV We all have played Rock, Paper, and Scissors game at least once. It’s a very simple game where each player picks one of the three objects (Rock, Paper, and Scissor) making the appropriate hand shape on a count of three, and these rules are applied to decide the winner: Paper beats Rock Scissors beat Paper Rock beats ScissorsSo in today’s tutorial… |
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Age and Gender Classification using OpenCV and Deep Learning on Raspberry Pi In this tutorial, we are going to use OpenCV and Deep Learning models to accurately identify the gender and age of a person from a real-time video stream. The deep learning age and gender detector model that we are going to use today was implemented and trained by Levi and Hassner in their 2015 publication. Age and Gender detection is a two-step process: … |
