This technology leverages on deep learning in computer vision to develop a generic video analytics platform that is able to learn and infer different human activities or behavioural patterns automatically. The pipeline is able to stream images and automate identification of abnormalities in human poses using a trained AI model. Identified use-cases include monitoring of autistic children in the areas of:
The technology is based on configurable Long Short-Term Memory (LSTM) with human-pose estimation AI model. The system is able to track the human skeletal position in frame sequences. With its short-term and long-term memory components, LSTM model has been validated in research to be capable of solving problems with sequential linkages.