Project Overview
The client needed an automated, real-time object measurement and quality inspection system using a simple camera. The goal was to improve production efficiency by accurately detecting, measuring, and classifying objects while also identifying defects and counting pieces.
Our Contribution
✅ Detects objects using a webcam ✅ Measures object size in millimeters with high accuracy ✅ Identifies object types (e.g., cylinders)
Our Contribution
✅ Determines defected vs. non-defected pieces ✅ Counts total processed objects and logs processing time ✅ Provides confidence scores for each measurement
KEY FEATURES
Tool & Technologies
Customer Feedback
John Doe
Codetic
Results
The solution successfully automated the measurement and inspection process, reducing manual errors and improving production speed. It provided real time insights for better quality control, helping the client streamline operations with an affordable and efficient AI driven system
Deliverables
Defect Identification & Classificatio
Integrated a defect checking system to label objects as defective or acceptable, streamlining the inspection process.
Precise Millimeter Level Measurement Module
Developed a measurement engine that captures object dimensions with high accuracy, suitable for industrial applications.
Vision Based Object Detection System
Built a computer vision solution using OpenCV to detect and analyze objects directly from a live camera feed.
Real Time Reporting & Analytics
Implemented a counter with time logs and confidence scores to track production output and boost decision-making.
