Engineering Clinic

Surface defect detection plays a critical role in modern manufacturing industries, especially in steel and metal production. Manual inspection is time-consuming, error-prone, and not scalable. In this post, I demonstrate how Deep Learning can be effectively used to detect surface defects using the NEU Surface Defect Dataset , along with a live Streamlit web application demo . I have also recorded a full live lecture , where I explain the dataset, training process, and real-time defect prediction using a Streamlit app. NEU Surface Defect Detection 📌 What This Project Covers Understanding the NEU Surface Defect Dataset Training a Deep Learning CNN model using PyTorch Running a Streamlit-based web application Uploading a test image to predict the type of surface defect End-to-end execution on Ubuntu 24.04 This project is highly useful for: Engineering students Research scholars Faculty members Industry professionals in manufacturing and quality inspecti...

Step-by-Step Guide: How to Install ns-3.46 on Ubuntu 24.04 LTS Welcome to Engineering Clinic! As Ubuntu continues to evolve with its 24.04 LTS release, network simulation tools must also keep pace. Today, we will walk through the complete installation process of ns-3.46 on the new Ubuntu 24.04 environment. Whether you are a student, researcher, or developer, setting up the environment correctly is the most critical step. This guide covers everything from installing dependencies to setting up the specific Python virtual environment required for this version. Check the video for complete instructions: Let’s get started. Step 1: Update and Install Dependencies Before we touch the network simulator, we need to prepare the Linux environment. Ubuntu 24.04 requires a specific set of libraries for C++, Python, and visualizer tools. First, update your repositories: $ sudo apt update Next, install the required dependencies. This is a comprehensive list ensuring that key features (like NetAnim...