Supercharged Automotive Manufacturing with 3D Machine Vision
Computer Vision in Automotive Manufacturing
A global automotive parts manufacturer approached us as their outdated inspection methods were costing more than just once. They were unable to catch defects in real-time with their outdated 2D systems. We developed and launched a 3D machine vision system. This system enabled high- speed automotive production lines. We transformed their production line into an error free powerhouse with the help of robotic integration.
Automotive
AI/IoT/Emerging Tech
Environment Assessment & Camera Calibration
The process began with a detailed production floor audit and lighting analysis. Afterward, we carefully chose the right 3D vision sensors and calibrated for various inspection points. This ensured compatibility with speed and lighting variability.
AI-Powered Defect Detection Models
Custom-trained deep learning models were used to identify surface anomalies, shape defects, and geometric inconsistencies. Each model was optimized for parts like engine casings, axles, and door panels.
Real-Time Integration with Robotic Systems
The vision system was integrated directly with robotic arms and PLCs (programmable logic controllers). This proved to be efficient as it enabled instant part rejection and alignment correction without human intervention.
Data Pipeline & MES Integration
We built a data pipeline that streamed inspection outcomes to their Manufacturing Execution System (MES) for real-time dashboards and downstream analytics.
