AI-based fall detection model from ATXX

25. September 2025 | Planegg

Falls represent a critical risk in elderly care and healthcare facilities, ranking as the second leading cause of unintentional injury deaths worldwide (WHO). With its AI-Based Fall Detection Model, Atlantik Elektronik now combines high-performance computing, secure data transmission, and workflow integration into an offers an edge-intelligent solution for improved patient safety.

Thanks to the dual-camera architecture and proprietary neural engine for on-device inference, the model enables real-time fall detection and immediate, automated alerts to caregivers. In addition, it performs automated risk analyses to identify potential hazardous factors and support preventative interventions.

A secure IoT gateway connects the model to a dedicated SaaS platform, providing real-time dashboards, event notifications, and long-term analytics to optimize decision-making. It also integrates seamlessly with external displays and sensor data via NFC and Bluetooth, which reduces manual processes and enhances operational efficiency significantly.

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Designed with a privacy-first approach, the model avoids identity recognition, supports multi-person monitoring, and ensures compliance with data protection requirements. Its scalability makes it suitable for nursing homes, hospitals, rehabilitation centers, and connected smart care environments.

Learn more about the ATXX AI-Based Fall Detection Model in the ATE-Store and explore more solutions for smart healthcare ecosystems by Atlantik Elektronik.
 

FAQ


How does the AI-based fall detection model work?

The system combines a dual-camera setup with an on-device Neural Engine. This enables real-time fall detection and immediate alerts for caregivers. Learn more in our ATE Store.
 

What are the advantages of the dual-camera technology?

The dual-camera architecture allows precise motion analysis, supports monitoring of multiple people simultaneously, and ensures maximum accuracy in fall detection.
 

Is the solution GDPR-compliant?

Yes. The model is designed with a “Privacy First” approach: no identity recognition, GDPR compliance, and secure data transfer via IoT gateway.
 

Which facilities can benefit from the system?

It is scalable and suitable for nursing homes, hospitals, rehabilitation centers, and connected smart care ecosystems. Explore Smart Care Solutions.
 

What additional features are included?

The solution offers automated risk analysis, real-time dashboards, long-term analytics, and seamless integration with NFC/Bluetooth for improved workflow efficiency.