Healthcare Patient Fall Detection

VAISense AI Camera Sensing to Detect and Prevent Falls

A senior woman fallen to the ground with AI detection for emergency notification.

AI camera sensing has emerged as a groundbreaking solution for detecting and preventing falls, a critical aspect of healthcare. Utilizing existing cameras, computer vision techniques developed by VAISense can identify key points and movements, providing real-time monitoring and assistance to those in need.

Patient falls are a significant concern in hospitals and care centers worldwide, especially in elderly and senior care. According to recent statistics, approximately 700,000 to 1 million patient falls occur in U.S. hospitals each year, resulting in up to 250,000 injuries and 11,000 deaths. With the aging population expected to double by 2060, the need for improved fall detection solutions becomes even more crucial. Recent methods of monitoring, such as Apple watches and similar sensors, are often invasive and costly, and do not provide real-time assistance. This is where AI camera sensing steps in, revolutionizing the way falls are detected and prevented in healthcare.

VAISense utilizes a computer vision technique called pose estimation to recognize human activity, a key aspect of artificial intelligence and machine learning. By mapping out a person's physical frame in an image and assigning sets of coordinates known as key points, AI can accurately detect movement patterns and anomalies through pattern recognition. This advanced technology eliminates the need for additional hardware or sensors, making it incredibly easy to deploy in any facility.

Benefits of VAISense:

  • Utilizes Existing Cameras: Leveraging a VAISense edge IPC, older cameras can be repurposed to provide advanced monitoring. Facilities can adopt AI camera sensing without disrupting their existing infrastructure, ensuring a seamless integration process and cost savings.
  • Privacy-Focused Solution: Inferencing and data processing occur locally on edge devices, ensuring that no data is ever sent to the cloud or stored, providing peace of mind to both patients and healthcare providers.
  • Real-Time Assistance: Instantly detects falls and alerts staff members, improving response times. Differentiates between normal movements and falling patterns, ensuring accurate detection. Allows healthcare providers to respond swiftly, and to geolocation of camera in use.
  • Enhanced Safety Measures: Fall risks can be identified and addressed proactively through risk assessment. Identifies potential hazards, such as wet floors or obstacles, and alert staff members to take necessary precautions. Ensures patients are following prescribed rehabilitation exercises or tracking their mobility progress.

AI camera sensing has emerged as a game-changer in the field of fall detection and prevention. By utilizing existing cameras and advanced computer vision techniques, this technology offers real-time monitoring, prompt alerts, and enhanced safety measures for healthcare facilities. With its privacy-focused approach and ability to integrate with existing infrastructure, AI camera sensing is a cost-effective and efficient solution. As technology continues to evolve, the possibilities for VAISense in healthcare will only expand, bringing us closer to a future where falls can be curtailed and treated immediately.

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