Anthill Inside 2018

Quality Inspection in Manufacturing Industries is of great importance and incurs spends of about $ 3 Billion USD, which is a complex pipeline of tasks which are rigourous, time-consuming and a lot of manual work. Complex testing processes takes weeks to conclude the impact of tests on Parts/Subject where there is a lot of scope for faster inspection using Analytics. The proposed talk elaborates the power of Artificial Intelligence through usage of Advanced Algorithms like Deep Learning, Reinforcement Learning and Computer Vision to Automatically Find “interesting” features from images and videos to inspect parts and spares on a Augmented Reality software. Corrosion recognition is one of the most complex and impactful in Warranty for Automotives. Can AI help?

Outline

Outline of the Talk as per presentation Uploaded:
S1: Introduction of Speaker
S2: Quality Inspection process in Manufacturing
S3: Testing for Corrosion
S4: Architecture
S5: Traditional Vision & Initial Hybrid ML Classifier - For CPUs
S6: Deep Learning Optimization - Next level with GPU - part 1
S7: Deep Learning Optimization - Next level with GPU - part 2
S8: Auto-Summary with Spark
S9: Final Product Design Framework, Novel Framework
s10: Thanks

Requirements

Open mind, knowledge of Machine Learning (basic)

Speaker bio

Principal Data Scientist with PhD in Machine Learning with over 15 years of experience in Analytics Consulting, Big Data Strategy and Applied Research in Computer Vision and Machine Learning for Consumer and Enterprise Businesses for Manufacturing, Automobile, IT & Financial Services organisations of repute. Techno-Functional expertise in transforming Research to Applied Research through Proof Concepts and then develop Big Data Solution Development and Professionalization.