Applying AI and Machine Learning for Robust Transport Infrastructure

Robust transport infrastructure for goods and population is seen as a key driver for macroeconomic growth. Digital technologies like computer vision-based AI and machine learning can help monitor the quality and structural integrity of a vastly distributed network of roads, railway lines, bridges, transit stations, and cargo hubs. That helps in planning maintenance actions to ensure 100% availability of assets on critical network paths at optimal operational costs.

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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.