AiVis: AI-Powered Industrial Quality Inspection System
As an engineer, I had the opportunity to work on a cutting-edge project called AiVis, an AI-powered industrial quality inspection system developed by AiFactory. AiVis was designed as an integrated hardware and software solution, aimed at automating the process of component handling, inference, and sorting in industrial environments.
One of the core features of AiVis is its ability to accurately identify and sort good components from defective ones. Leveraging deep learnign models, AiVis is trained to detect a wide range of defects, including cracks, dents, holes, shear, tears, and more, on components. This enables manufacturers to quickly and reliably identify and discard defective components, ensuring that only high-quality products make it to the market.
Throughout the project, I was responsible for designing and implementing software side of the system, from its UI to core libraries, which handle the core functionalities. Including the integration of hardware and software, I also trained neural net and optimizing the system for real-time performance.