Windows IoT: Facial Recognition Door. This project is part of Microsoft’s Hack the Home initiative, which provides makers with free, open-source components for effortless interfacing with devices and services that makers use most to hack their homes.
Home security systems are a growing field of projects for Makers. A self-built system is not only less expensive than a bulky professional installation, but it also allows for total control and customization to suit your needs. With the introduction of Microsoft's Project Oxford, facial recognition applications are now more accessible to makers than ever before. This project utilizes a Raspberry Pi, basic Webcam, and an internet connection to create a door that unlocks itself via facial recognition. Face Counter with Raspberry Pi. Why counting people?
The Internet of Things is about merging the digital and the physical. If there's one thing we learned about the digital world in the past 15 years is that successful products and services were the ones that closed the loop. That's right; Google built a fortune "closing the loop" by measuring clicks and views of ads, helping brands optimize their offerings; LinkedIn "closed the loop" because they allowed us to discover hidden relationships within our network, helping people get a new job or a new business deal; Amazon "closed the loop" by suggesting relevant products based on your browsing and buying habits. In fact, there's a great quote from a known Silicon Valley investor that says: "What I learned from Google is to only invest in things that close the loop" (Chris Sacca)
Facial recognition with OpenCV and the camera module on the #RaspberryPi. Hardware-Libre. OpenCV and Pi Camera Board ! Raspberry Pi OpenCV Pan & Tilt Face Tracker. Create your own face tracking, pan and tilt camera on the Raspberry Pi!
This tutorial will demonstrate use of the OpenCV (computer vision) library to identify and track faces on the raspberry pi using two servos and a USB webcam. For the interested, I previously covered a more thorough overview of the installation of OpenCV from source here, however, I have found that the apt package is sufficient for all but the most bleeding edge of projects. This project is based on the OpenCV face tracking example that comes along with the source-based distribution. Opencv. OpenCV1) est une bibliothèque libre d'analyse d'images et de vision par ordinateur sous licence BSD en langage C/C++.
Elle a été développée à l'origine par Intel. Pré-requis. OpenCV. Creative Raspberry Pi Area. OpenCV. Un article de Wikipédia, l'encyclopédie libre.
OpenCV (pour Open Computer Vision ) est une bibliothèque graphique libre , initialement développée par Intel , spécialisée dans le traitement d'images en temps réel. La société de robotique Willow Garage assure le support de cette bibliothèque depuis 2008. Cette bibliothèque est distribuée sous licence BSD .