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SYSTEM AND METHOD FOR GROUPING INDEPENDENT MACHINE LEARNT ARTIFICIAL INTELLIGENCE TO GENERATE COLLECTIVE 'MACHINE WISDOM' TO OBTAIN HIGHER ACCURACY IN IDENTIFICATION OF TAGS, OBJECTS AND ACTIONS IN A VIDEO
SYSTEM AND METHOD FOR GROUPING INDEPENDENT MACHINE LEARNT ARTIFICIAL INTELLIGENCE TO GENERATE COLLECTIVE 'MACHINE WISDOM' TO OBTAIN HIGHER ACCURACY IN IDENTIFICATION OF TAGS, OBJECTS AND ACTIONS IN A VIDEO
The present invention overcomes the drawbacks of the technology models available in the state of the art by providing a system and method for grouping independent machine learnt artificial intelligence to generate collective “machine wisdom” to obtain higher accuracy in identification of tags, objects and actions in a video. The system comprises an input module, Media Asset Management (MAM) module, catalogue module and a machine learning module. The input module allows the user(s) to upload one or more videos into a media ERP solution a media asset management solution. The system further predicts and improves the vision parameters by using collective artificial intelligence machines through mutual learnt models and thereby enables higher accurate video identification resolution and cataloguing of a problem or its prediction in lesser period of time.
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