The problem

Direct 24-hour observation of patients can be very inefficient for healthcare practitioners. It can take the focus off more relevant activities, potentially reducing patient care quality.

The solution

1. The system detects and predicts patient actions (movements, possible falls) that can result in risky situations.

2. An alert is triggered to the caring team, who is then able to control undesired outcomes.

The technology

A combination of accelerated artificial intelligence and machine learning allows to process and cross check predefined patient's behaviors in real-time on a video stream.

VPO makes healthcare practitioner's daily work easier while reducing the costs of patient observation and enabling easy scalation with the same response level even if the number of events increases.