Our client is developing a mental health screening tool targeted for adolescents. This tool will allow physicians to track the mental health state of patients through the use of video. Our client needed a platform to explore and process incoming video data from clinical trials to create insights that physicians can use to assess and track mental health. Through the tool’s proposed use of gamification and survey questions, each video is potentially capturing a wealth of information about a patient’s mental health to be automatically extracted in a meaningful, scalable, and secure manner.
We customized and productionized our Vivo platform to enable our client to process videos and produce readily available features for analysis, such as emotion, voice, and speech analytics. Our client is able to upload videos to the cloud, which automatically triggers the Vivo platform. Users can rapidly explore results through a simple application, and download and visualize the features produced for a given frame of the video. We incorporated a third party speech-to-text service in order to optimize the accuracy and security of the transcription pipeline. Finally, the Vivo platform is backed by a Kubernetes cluster, which allows our client to automatically scale up the batch processing of videos whenever necessary.