Computer vision is becoming a key enabler of smart manufacturing, from quality inspection to robotic automation. Yet traditional development of AI models often requires large datasets, specialized expertise, and significant time. In this talk, we explore how no-code computer vision platforms are changing this landscape allowing engineers, operators, and domain experts to build, train, and deploy models without deep AI backgrounds. We’ll look at real examples from manufacturing and robotics to show how faster iteration, simpler data workflows, and scalable deployment can move automation projects from concept to production.
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O
Speaker
Olga Perepelkina
2
talks
Product Manager
Intel
Olga Perepelkina, PhD is a Product Manager at Intel. Olga has a PhD in Neuroscience and post-master’s degree in computer science. She serves as an Industrial Advisor at the University of Glasgow (Social AI CDT), and a lead mentor in Intel Ignite global startup accelerator program.
Bio from: Sept 10 - Visual AI in Manufacturing and Robotics (Day 1)
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Computer vision is becoming a key enabler of smart manufacturing, from quality inspection to robotic automation. Yet traditional development of AI models often requires large datasets, specialized expertise, and significant time. In this talk, we explore how no-code computer vision platforms are changing this landscape allowing engineers, operators, and domain experts to build, train, and deploy models without deep AI backgrounds. We’ll look at real examples from manufacturing and robotics to show how faster iteration, simpler data workflows, and scalable deployment can move automation projects from concept to production.