Video Recognition: Real-Time Object Detection and Classification

ML based computer vision has significantly matured with focused research to push the state of the art and enterprise investments to build or leverage enterprise ready platform. In terms of functionality, accurate, reliable spatial analysis for object detection and image classification has gradually evolved to spatial-temporal analysis for object state tracking (e.g. human operators) in terms of their form, orientation (e.g. pose of a human operator) and interaction with the environment (e.g. actions of human agents in diverse landscapes). Enterprises platforms for developing comprehensive industry use cases are in development adopting various architectural and technology options.

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ABOUT THE AUTHOR

Nirupam Kulkarni

Nirupam Kulkarni works as Product Manager focused on eInfochips' IoT and AI product and solution portfolio. He has 11 years of technology experience across IT and analytics consulting, market research, product management and digital partnerships.