SYSTEM AND METHOD FOR CAPTURING, INDEXING AND EXTRACTING DIGITAL WORKFLOW FROM VIDEOS USING ARTIFICIAL INTELLIGENCE

An AI (artificial intelligence) system has been developed that uses an AI module wherein the AI system captures, indexes, and extracts digital workflow of complex technical know-how for designing, manufacturing, operating, maintaining and servicing products, machines and equipment, and turns the digital workflow into a GPS-map like, step-by-step interactive workflow guidance. The AI system uses a workflow acquisition system, which captures and digitizes experts' knowledge and workflow as they are physically performing their work or task in a spatial environment. The workflow acquisition system includes one or multiple video input devices such as cameras that capture videos from multiple perspectives, including but not limited to side-view and point-of-view (POV) in which the cameras can be head-mounted, eye-wearable, or shoulder-mounted. The AI system and the AI module thereof analyzes and indexes the audios and every frame of the videos to extract the workflow content, such as objects, activities, and states, from the video using one or more AI methods, such as NLP (natural language processing) or computer vision, such as object detection and activity recognition. The extracted digital workflows, including step-by-step information, are stored preferably in a cloud based enterprise knowledge repository, which can be used to teach and train workers in these skilled trades and help speed up the learning curve for individuals learning a new skill such as those replacing more senior workers. Authorized users can access this digital workflow content as interactive how-to videos anytime, anywhere and learn at their own pace.