Falls in nursing homes are a critical concern, posing severe risks to elderly residents’ safety and well-being. In the United States alone, approximately 1,800 elderly individuals die each year from fall-related injuries, according to the Nursing Home Abuse Center. Worse, 50% to 75% of nursing home residents experience falls annually—double the rate of seniors living in residential communities. Detecting falls quickly, especially in private bedrooms, has long been a challenge, compounded by the need to balance monitoring with residents’ privacy. At Hector Weyl, we’ve developed innovative solutions to address both: our IntelliCore technology, featuring stereo video analysis and Privacy Protection 2.0, is transforming how nursing homes ensure safety without compromising dignity.

The Challenge: Safety vs. Privacy in Elderly Care

Nursing homes face a unique dilemma: close monitoring is essential to detect falls and respond promptly, but residents—many of whom are vulnerable—deserve privacy, especially in personal spaces like bedrooms. Traditional surveillance systems often fail here: they either lack the accuracy to detect falls reliably or compromise privacy by capturing unobstructed footage. Hector Weyl’s technology bridges this gap, combining precise fall detection with robust privacy safeguards.

How Stereo Video Analysis Enables Accurate Fall Detection

At the core of our solution is stereo video analysis, a 3D scene analysis technology powered by deep learning. Here’s how it works:

Mimicking Human Binocular Vision

Hector Weyl cameras, such as the HW-IPC-PFW5819-A180-PV2, use two lenses to capture separate images of the same scene. By calculating the “optical parallax” (the slight difference) between these images, the system generates 3D spatial data—mimicking how human eyes perceive depth. This 3D perspective allows the camera to accurately track movements, distinguishing between normal actions (e.g., sitting down) and critical events like falls.

Deep Learning for Pattern Recognition

Paired with advanced algorithms, stereo analysis recognizes event patterns in real time. The system learns to identify sudden, abnormal movements characteristic of falls, as well as other behaviors like people approaching restricted areas, unusual crowding, or even violent acts. This precision minimizes false alarms, ensuring staff respond only to genuine emergencies.

Real-World Impact: Transforming Nursing Home Safety

Singapore Nursing Home Case Study

A 400-bed nursing home in Singapore, divided into 14 home-like living environments, faced the dual challenge of monitoring 400 residents while respecting their privacy. The facility installed 167 Hector Weyl stereo analysis cameras (including HW-IPC-PFW5819-A180-PV2) in bedrooms and communal areas. When a fall occurs, the cameras trigger an immediate alarm, alerting staff to respond—often within minutes.

The results were transformative: incidents that might have gone unnoticed for hours are now addressed promptly, reducing injury severity. Additionally, the technology optimized staff workflows, lowering labor costs by focusing resources on critical needs rather than constant patrols. Residents and their families reported greater peace of mind, knowing safety was prioritized without sacrificing privacy.

Beyond Nursing Homes: Versatile Applications

Stereo analysis isn’t limited to healthcare. For example, an underground unmanned bicycle parking garage in Amsterdam uses similar behavior analysis technology to detect falls, trips, or suspicious loitering—preventing accidents and enhancing security in low-traffic, unmanned spaces.

Privacy Protection 2.0: Safeguarding Dignity

While accurate monitoring is vital, protecting residents’ privacy is non-negotiable. Hector Weyl’s Privacy Protection 2.0 technology ensures this balance:

Real-Time, Front-End Masking

Privacy Protection 2.0 occludes faces and bodies in real time, both in live and recorded footage. Unlike basic mosaic masking, this technology operates on the front-end device (e.g., the network camera itself), ensuring sensitive data never leaves the device unprotected.

Flexible, Non-Intrusive Options

Users can choose from occlusion methods like irregular polygons, mosaics, or colored blocks. Crucially, recorded videos remain accessible for evidence collection without pixelating human targets—preserving details needed for security while hiding identifying features. The system also enables face and attribute analysis (e.g., detecting if a resident is standing or lying down) without exposing private information.

Compliance and Trust

By keeping privacy controls on the front end and offering customizable masking, Hector Weyl’s technology aligns with global data protection regulations (e.g., GDPR) and builds trust with residents, their families, and care providers.

Conclusion: A New Standard for Elderly Care

Nursing homes and healthcare facilities demand solutions that prioritize safety and privacy. Hector Weyl’s stereo video analysis and Privacy Protection 2.0 deliver exactly that: 3D fall detection that acts in real time to protect vulnerable residents, paired with privacy safeguards that respect their dignity.


From Singapore’s 400-bed facility to communities worldwide, our technology is setting a new standard for elderly care—proving that advanced surveillance and privacy can coexist, enhancing well-being for all.