Crowd Size Estimation Using OpenCV and Raspberry Pi.License Plate Recognition using Raspberry Pi and OpenCV.Real-Time Face Recognition with Raspberry Pi and OpenCV.Installing OpenCV on Raspberry Pi using CMake.We previously used OpenCV with Raspberry pi and created a lot of tutorials on it. pip3 install opencv-contrib-python=4.1.0.25 sudo apt-get install libhdf5-dev -y sudo apt-get install libhdf5-serial-dev –y sudo apt-get install libatlas-base-dev –y sudo apt-get install libjasper-dev -y sudo apt-get install libqtgui4 –y sudo apt-get install libqt4-test –yĪfter that, install the OpenCV in Raspberry Pi using the below command. Then install the required dependencies for installing OpenCV on your Raspberry Pi. To install the OpenCV, first, update the Raspberry Pi. Here OpenCV library will be used for the Raspberry Pi QR scanner. The most common applications of Digital Image Processing are object detection, Face Recognition, and people counter. OpenCV is used here for digital image processing. Requirementsīefore proceeding with this Raspberry Pi 3 QR code scanner, first, we need to install OpenCV, Barcode decoding library ZBar, imutils, and some other dependencies in this project. Once OpenCV captures a frame, then we can pass it to a dedicated Python barcode decoding library such as a ZBar which decodes the bar code and converts it into respective information. OpenCV is used to grab a new frame from a video stream, and process it. ZBar is the best library for detecting and decoding the different types of barcodes and QR codes. In this tutorial, we are going to build a Raspberry Pi based QR Code Scanner using OpenCV and ZBar library. Also if you want to learn how to interface USB Barcode Scanner with Raspberry Pi and read 2D barcodes with Raspberry pi, then follow this tutorial. To learn more about QR codes and how to generate a QR code, follow our previous tutorial. It is a machine-readable optical label that is in the form of a 2D image and has a different pattern. QR code (Quick Response code) is a type of matrix barcode that contains information about the item to which it is attached, like location data, identifier, or a tracker that identifies a website or app, etc.
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