Mar 21, 2018 · How Does the Motion-Tracking Camera Work? This Arduino Security Camera uses 5 PIR motion sensors to detect any movement within a 180º radius. Once motion is detected, a servo motor rotates the camera base to point in that direction.

............... https://www.littlefrenchkev.com/face-tracking-camera-mini ................. How does it work? The camera moves using two servos driven by an Arduino Uno. The camera is plugged to a computer where a software tries to find faces in the images received from the camera.

Basically, the webcam sends video frames to OpenCV running on a Windows PC. If OpenCV detects a face it will track it and calculate its center's X,Y coordinates. The coordinates are then passed on to the Arduino via a serial USB connection.

In this Instructable I will be showing you how to track faces using Arduino & Python and make the Camera follow the face. This may sound difficult but trust me it isn't, All you need is basic knowledge of Arduino and Python.

Hello everyone out there reading this instructable. This is a face tracking device which works on a python library called OpenCV. CV stands for 'Computer Vision'. Then I set up a serial interface between my PC and my Arduino UNO. So that means this doesn't solely work on Python.

May 13, 2021 · One possible method is to use the webcam to capture video frames and send them to the Arduino via a serial connection. The Arduino can then use the OpenCV library for image processing to detect and track the moving object.

Nov 17, 2020 · This Arduino Security Camera uses 5 PIR motion sensors to detect any movement within a 180º radius. Once motion is detected, a servo motor rotates the camera base to point in that direction. There are also 5 LED "status" lights positioned inside the base that will light up anytime one of the PIR sensors detects motion.

May 28, 2022 · A USB camera mounted on a 2-axis (pan and tilt) servo assembly is used to track an object. Arduino Uno is used to control the servos from PC

Apr 25, 2024 · In this tutorial, I will show you how you can use OpenCV, Python, and Arduino to detect and track faces. Face tracking can be used in a variety of robotics projects and applications. Once you learn the basics from this face tracking OpenCV project, you can use your imagination to put these skills to work!

Arduino Camera Tracking– In this Tutorial, you will learn how to make an image processing based human face tracking system using Arduino and vb.net which is also known as visual basic. This project is based on the image processing application designed in VB.net.