OEM Fall Detection for Healthcare Facilities in Partnership with a Leading VMS

Project Background: Enhancing Patient Safety with AI-Powered Fall Detection

Noctuai partnered with a global leader in Video Management Systems (VMS) to deliver an advanced fall detection solution tailored explicitly for healthcare facilities. Falls are a critical safety concern in hospitals and nursing homes, where timely detection and response can significantly improve patient outcomes. This collaboration aimed to integrate Noctuai’s fall detection capabilities into the client’s VMS platform, enhancing patient safety through immediate incident detection and response.

Challenges in Developing Reliable Fall Detection for Healthcare Facilities

Noctuai faced several unique challenges in developing a robust, reliable fall detection solution for healthcare settings:

1. Limited Access to Real-World Data: Due to privacy regulations, Noctuai had limited access to real-world data from hospitals and nursing homes. To overcome this, the team utilized Noctuai’s Data Synthesis service to generate high-quality synthetic data, simulating various fall scenarios in healthcare environments. This synthetic data was combined with real data from Noctuai and the client, creating a comprehensive, mixed dataset for model training.
2. Complex Integration Requirements: The fall detection system had to be embedded seamlessly into the client’s globally recognized VMS platform, necessitating a customized UI.
3. Performance Optimization in Healthcare Settings: Hospitals and nursing homes require high precision and reliability. Noctuai optimized the fall detection system’s performance, ensuring it met the demanding standards of healthcare environments where detection accuracy is critical.

Solution Approach: Innovative Methods for Accurate Fall Detection

Noctuai took a systematic approach to overcome these challenges and deliver a high-quality fall detection solution:

1. Data Synthesis and Mixed Dataset Training: The Noctuai Data Synthesis service created realistic fall scenarios to supplement the training dataset. This included combining synthetic data with real-world samples from healthcare settings provided by the client, ensuring the model was trained on a diverse dataset that enhanced its accuracy and adaptability.
2. Custom UI and Seamless VMS Integration: Noctuai developed a custom UI that integrated smoothly into the client’s VMS. An OEM supplier agreement ensures ongoing support
3. Rigorous Testing and Quality Assurance: The solution underwent comprehensive testing across multiple hardware configurations to verify performance consistency and accuracy in detecting falls, even in challenging cases typical of healthcare settings.

Outcomes and Achievements: Delivering Enhanced Safety for Healthcare Providers

In just three months, Noctuai successfully deployed the fall detection solution within the client’s VMS platform, achieving significant benefits for healthcare providers:

• Improved Patient Safety: The fall detection system, available as a new application Fall Detection, enables real-time response to falls, reducing the risk of injury and enhancing the overall quality of patient care.
• Efficient Integration with Existing VMS: The solution integrated seamlessly with the client’s platform, offering healthcare facilities a unified solution for patient safety.
• High Accuracy and Reliability: By combining synthetic and accurate data for training and conducting rigorous testing, Noctuai ensured the system maintained exceptional performance across various hardware platforms.

This collaboration with a global VMS leader highlights Noctuai’s expertise in creating OEM solutions that are adaptable, reliable, and effective in the critical healthcare sector. These solutions advance patient safety through state-of-the-art AI technology.