AI Can Revolutionise Industrial Safety; Save Lives – Notes from Tiger Analytics

Between May and July 2020, there have been 30 recorded industrial accidents in India, killing at least 75 workers. These figures, along with regular reports of similar incidents around the country and the world, bring into sharp focus the need to enhance industrial safety on site. While safety has always been a primary concern for manufacturing and logistics organisations, forward-looking companies have, in recent years, tried to leverage emerging technologies to monitor and improve safety protocols and training methods on site. With the possibility of using machine learning to detect and flag violations, artificial intelligence (AI) can help organisations around the world make strides in reducing the incidence of injuries and fatalities at work. One crucial aspect of industrial saf
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Picture of Sri Vallabha Deevi
Sri Vallabha Deevi
Sri Vallabha Deevi is a data science leader with over thirteen years of experience in statistical analysis, reduced-order modelling, simulation of physical systems, and scientific computing. He leads teams that specialise in developing deep learning models for video analytics, machine learning models for anomaly detection, and natural language processing.
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