RajdeepBiswas/Manufacturing-Quality-Inspection
I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions
This project helps manufacturing companies automate the inspection of cast products for defects. It takes images of casting products, like pump impellers, and uses computer vision to classify whether they are acceptable or have defects. This tool is designed for quality control managers, operations engineers, or even factory floor supervisors to improve production quality and efficiency.
No commits in the last 6 months.
Use this if your manufacturing facility needs an automated system to detect defects in casting products using image analysis, and you may or may not have a dedicated data science team.
Not ideal if your quality control involves non-visual inspection methods or if you need to detect defects in products other than castings.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 12, 2021
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