Detect a Face Using Haar Cascades

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prerequisites
basics of Python • basics of OpenCV
skills learned
reading and writing videos • using a Haar Cascade Classifier for face detection
Vishwesh Shrimali
1 week · 3-6 hours per week · INTERMEDIATE
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Welcome to the era of digital security! In this quick liveProject, you’ll develop an efficient solution for detecting faces in a live video stream. You’ll need to read an input video from a webcam, detect faces present in the input video stream, draw bounding boxes around the detected faces, and then write the detected faces to a new video.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Vishwesh Shrimali
Vishwesh Ravi Shrimali is an AI and computer vision engineer with a mechanical engineering background. In his previous company, he was involved in developing the official OpenCV AI course series. He has also written multiple books on OpenCV and machine learning. He has recently joined Mercedes Benz R&D India as an engineer in the ADAS domain. He is also pursuing his master's in ML & AI from LJMU.

prerequisites

This liveProject is for aspiring OpenCV developers with some knowledge of Python. To begin these liveProjects, you will need to be familiar with:

TOOLS
  • Basics of Python
  • Basics of NumPy
  • Basics of OpenCV

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