InspirationSVS-EYE: Scan Virtual System

About the Project

SVS-EYE (Scan Virtual System) is an AI-powered visual inspection system designed to identify and investigate potential defects in manufactured products.

Traditional quality inspection can be time-consuming and expensive, especially for small manufacturers. SVS-EYE aims to make defect inspection more accessible by combining computer vision with AI-driven analysis.

Using OpenCV, the system processes product images to identify suspicious surface patterns. It then focuses on potential defect regions for further analysis and generates a visual inspection report containing detected regions, findings, and recommendations for human review when needed.

Key Features

Smart Visual Scanning: Analyze uploaded product images.
Potential Defect Detection: Highlight suspicious surface regions.
Focused Investigation: Re-examine selected regions for additional evidence.
Visual Inspection Reports: Present findings in an easy-to-understand format.
Human-in-the-Loop Review: Flag uncertain results for human inspection.
Accessible Quality Control: Aim to reduce inspection effort and make visual analysis more accessible.

Technology Stack

Python
OpenCV 5
AI-based image analysis
Streamlit for the user interface
AWS for cloud-based functionality

Our Innovation

SVS-EYE aims to go beyond basic defect detection by combining visual analysis, focused investigation, and evidence-based reporting in a single workflow.

Our Vision

Our vision is to help manufacturers identify potential quality issues earlier, improve inspection workflows, and reduce avoidable product waste through accessible AI technology.

SVS-EYE — Scan Smarter. Investigate Better. Build Qualities