Face Recognition using LBPH, | AI without Machine Learning (ML) or Deep Learning (DL)

In this video, we explore a complete Face Recognition use case built with Local Binary Pattern Histograms (LBPH), a classic computer vision approach that proves not every AI depends on machine learning or deep learning. You’ll learn step-by-step how to: 1. Create a dataset – Detect and crop faces from your webcam 2. Review the dataset – Manually clean and organize images 3. Train the LBPH model – Learn texture patterns for each face 4. Recognize faces live – Predict and display real-time identities This is part of the “Every AI is not ML” teaching series by Benax Technologies (Rwanda) — showing how classical AI techniques still power real-world applications. 🔧 Tools Used - OpenCV (with opencv-contrib-python) - Python 3 - Haar Cascade for face detection - LBPH (Local Binary Pattern Histogram) for recognition 📂 GitHub Repository 🔗 https://github.com/benax-rw/lbph-face-pipeline 🏷️ Tags / Hashtags #AI #ComputerVision #FaceRecognition #LBPH #OpenCV #NoMachineLearning #EveryAIisNotML #BenaxTechnologies #RwandaCodingAcademy #PythonAI #AIEducation #VisionAI #ArtificialIntelligence