Don't forget to plug in your USB keyboard and mouse or better still use a wireless keyboard and mouse. Īfter burning the raspberry pi OS on the SD card, slot it into the raspberry pi and power it with a 2A adapter.
#How to install ffmpeg on raspberry pi 3 how to
Instructions on how to use etcher to burn an image onto an SD card be found. With the OS donwloaded, burn it on an SD card using the etcher software. For this application, I used the raspberry pi OS with desktop and recommended software.
#How to install ffmpeg on raspberry pi 3 download
There are 3 version you can download with different sizes. This will enable it perform considerably well in such conditions.įor better functionality, one needs to improve the accuracy of classification model.įirst off, download the raspbian OS (now raspberry pi OS) from on a separate computer. One way to curb the disadvantage is to train the image classifier with images under low light conditions. It performs poorly at night or low light conditions.It can also be run on solar energy using solar panels It runs on batteries thus consumes less power.it is small hence can be installed easily.It is also easier to use as it does not require a lot of resources to set up. FFMPEG is chosen because it is lightweight thus making it easier to compile and use on an edge device. Persons in-charge can then see the live stream of their entrance and can see anyone with or without a nose mask on. Once a face has been detected, it is passed as input to the image classifier which finally predicts if the face is one with a mask or one without a mask.įFMPEG will be used to stream the live video stream captured by the raspberrypi camera and exposes that stream on a network. With OpenCV, a face detection model is built to detect faces in either an image, video or live video stream.
![how to install ffmpeg on raspberry pi 3 how to install ffmpeg on raspberry pi 3](https://www.ubuntupit.com/wp-content/uploads/2020/12/install-ffmpeg-on-Manjaro.jpeg)
It can be installed in both the Python programming language and C++. OpenCV is also another tool used to perform computer vision tasks. Using tensorflow, an image classification model is built, capable of predicting between two classes of output images- people wearing nose masks and those not wearing a nose masks. Tensorflow is a deep learning framework built by google and enables one to build a working deep learning workflow. The camera and raspberry pi combination is installed on the wall or some other vantage point to monitor an entrance. It can be used for Internet of things projects and Edge computing purposes). In this project, a raspberry pi camera is attached to a raspberry (raspberry pi is a pocket sized computer with moderately high processing capabilites. This system will serve as a way of protecting ourselves. This to serve as an early warning systems so others can take a plan of action ahead of time. My solultion involves building a system capable of notifying persons in an office or home when a person who is not wearing a nose/face masks approaches. Government institions such as banks and other institutions that provides services also entreat people to wear nose masks when visiting their places of work. In order to protect institutions/organizations and even homes, we could monitor who comes in and out of the building to ascertain if the person poses a risk. However there are still a few people who do not conform to wearing them when out in public, putting themselve or whoever they come in contact with at risk.
![how to install ffmpeg on raspberry pi 3 how to install ffmpeg on raspberry pi 3](https://www.raspberrypistarterkits.com/wp-content/uploads/2017/11/How-to-Install-Recalbox-on-Raspberry-Pi-3.png)
In most countries, the wearing of nose mask has been made mandatory when visiting places.
![how to install ffmpeg on raspberry pi 3 how to install ffmpeg on raspberry pi 3](https://retroresolution.files.wordpress.com/2016/06/bash-shell-prompt-300x300.png)
Therefore we are left with no option than to adopt preventive measures such as hand washing, wearing nose mask etc. Also the symptoms displayed by the disease closely resembles that of other respiratory disease out there. However, due to the subtlety of the mode of transmission of the virus, it is almost impossible to detect when it is being transmitted. In the wake of this COVID-19 pandemic, nations are putting every measure in place to reduce or stop its spread.