Vinay TS

This talk will touch upon the need for digital automation for behaviour analysis. Human behaviour analysis and activity analysis is an extremely complex subject. AI has been attempting to play a bigger role in the domain of human activity analysis. The need for human analysis allows better solutions to be built for 1.Media, 2. Sports, 3. Consumer Packaged Goods, 4. Manufacturing. Video is known to be the source of truth for capturing information. The challenge with video is: it's expensive to analyse the unstructured data inside videos and generate useful insights on what is happening across a sequence of frames( read activities). With this background, we would like to cover how the need for an end to end activity recognition platform has evolved and has been well received for use cases specific to the Consumer Packaged Goods industry. This platform is capable of enabling DIY Video AI for activity recognition. 1. A data annotation component with the ability to do automated annotation 2. A component to build models that can be deployed on-premise or in the cloud. 3. A component for inferencing, correction of inferences and feedback to model building and training. 4. An insights component that is capable of analysis of detections and generation of intuitive analytics insights. 5. How an integration between AI in the cloud and AI on edge has been implemented and pushed to production. We will also cover how all of the above are helping large multinational majors in the CPG segment apply their domain knowledge to generate new behaviour insights and apply activity recognition to analyse product use and measure the effectiveness of product redesign initiatives.