Innovative AI system built to train in defect recognition for industrial QA using image recognition and deep learning.
Context and Challenges
The AI Visual System involves the collaborative work of Infotel developers , AI data scientists, business managers and QA experts to capture and refine banks of images for training in the automated recognition of defects from dents & holes to overpainting & missing elements. The software has been developed to allow for adaptation to pretty much any industrial process, building in variables to:
• fine-tune to different environments and station sensors
• encompass a range of defect types
• apply alternative deep learning models
• enable the future potential to extend from object detection to
anomaly detection and optical character definition