


Falls can cause crippling and life-threatening injuries to elderly patients as their mobility is limited and bones become brittle. In such cases, patients admitted to hospitals, especially bedridden ones, require consistent monitoring. What if someone falls off the bed or elsewhere on the premises? The limited hospital staff might not be able to promptly notice such incidents.

However, video analytics acts as a force multiplier in these situations. These solutions can differentiate between a person lying in bed, sitting on the floor, or having fallen or become unconscious. Detection of such incidents allows video analytics systems to raise alerts and provide timely responses, ensuring patient safety.

Patients recovering from surgeries, suffering from critical injuries, or bedridden elderly with severe diseases can be monitored effectively. The AI analytics ability of CCTV surveillance systems enables them to distinguish and understand SOS signals from patients, leading to better patient safety outcomes.
Alfa Systems Australia – Providing Advanced Surveillance with Real-Time AI Detection for Residential and Commercial Properties