Minesites require the continuous monitoring and predicting of the states of various machines to predict breakdown and failure, and to provide more optimal process flow. Key outcomes of our technology are:
Access to very large data sets allows analytical systems to be trained to recognise specific events, patterns, clusters, or trends. This is particularly relevant in the healthcare space and sports analytics and development of health and injury early warning systems. Currently, Singulariti’s infrastructure supports the applications of Alerte Digital Sports (AlerteDS) and Alerte Digital Health (AlerteDH).
AlerteDS has a web application that allows coaches and athletes of professional sporting teams to upload their training data along with their injuries. The AI has been trained to recognise soft tissue injuries in training patterns. AlerteDS’s web application allows for a coach or athlete to enter in future training plans where the system will assess the likelihood of injury given that training plan in to the future. This web application, its data management system and integrated AI framework is all hosted on Singulariti’s services and infrastructure.
AlerteDH has a powerful mobile health platform that can monitor consumers and/or patients in real time with AI without the need for consistent internet connection. AlerteDH has two significant applications, in detection of cardiac arrhythmias (via ECG) and monitoring of sleep disorders. In the case of ECG, the AI is able to recognise different types of arrhythmias as ECG data is streamed in from a device in real time. The sleep application allows for the detection of sleep apnoea and respiratory conditions. Each application utilises the Singulariti framework and infrastructure.