About

Al Senior Safety Guardian

The system uses a combination of motion capture technology, continuous behavior sensing, and deep learning algorithms to track and analyze elderly behaviors in real-time. When abnormal behavior is detected, an alert is triggered.

Infrared Camera is Technology Home Security System and Monitored by Smart Phone - Stock Photo

Behavioral Pattern Analysis

Asian adult son quickly come over to help his retired mother sit and rest on sofa after a fall on floor at home. He put cushion behind her back to make her feel better

Immediate Safety Risks

Detects and alerts for falls, violence, unauthorized entry, property damage, fire risks, and high-risk climbing to ensure immediate intervention.

Health & Physiological Alerts

Monitors nighttime bed exits, prolonged bathroom use, inactivity, hyperactivity, and zone overstays to address health risks promptly.

Behavioral Pattern Anomalies

Identifies reverse movement, aimless wandering, crowd gatherings, crouching postures, isolation, and distress signals for proactive care.

Key Features

3-Second Emergency Alerts

Crispy radish pancake with a blend of secret spices and scallions.

24/7 Multi-Scenario Coverage

Monitors homes, senior care facilities and outdoor communal spaces.

Privacy Protection

Anonymous skeletal tracking—no facial recognition or personal data stored.

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For residents with dementia, the hyperactivity alerts allow us to intervene before agitation worsens. The system integrates well with existing workflows, and training staff took minimal time. It’s a reliable tool for daily care."

- Zhang Wei

The system’s real-time alerts for nighttime bed exits or bathroom overstays save us from constant manual checks. It accurately detects partial falls, which reduces our workload. A practical addition would be monitoring subtle mood changes to support emotional care.

- Emily Wang

Since adopting this system, we’ve noticed a significant reduction in accidents like falls or unauthorized entries. The alerts for unusual movements, such as residents approaching restricted areas, have been particularly helpful. The data reports also assist in optimizing staff shifts, which improves overall efficiency.

- Grace Lin

When my father slipped in his room, caregivers arrived within seconds thanks to the fall alert. The system’s ability to notify staff about prolonged isolation also reassures me that his social needs are monitored. It’s a practical solution for families seeking peace of mind.

Liu Ming

For residents with dementia, the hyperactivity alerts allow us to intervene before agitation worsens. The system integrates well with existing workflows, and training staff took minimal time. It’s a reliable tool for daily care."

- Zhang Wei

The system’s real-time alerts for nighttime bed exits or bathroom overstays save us from constant manual checks. It accurately detects partial falls, which reduces our workload. A practical addition would be monitoring subtle mood changes to support emotional care.

- Emily Wang

Since adopting this system, we’ve noticed a significant reduction in accidents like falls or unauthorized entries. The alerts for unusual movements, such as residents approaching restricted areas, have been particularly helpful. The data reports also assist in optimizing staff shifts, which improves overall efficiency.

- Grace Lin

When my father slipped in his room, caregivers arrived within seconds thanks to the fall alert. The system’s ability to notify staff about prolonged isolation also reassures me that his social needs are monitored. It’s a practical solution for families seeking peace of mind.

Liu Ming

For residents with dementia, the hyperactivity alerts allow us to intervene before agitation worsens. The system integrates well with existing workflows, and training staff took minimal time. It’s a reliable tool for daily care."

- Zhang Wei

The system’s real-time alerts for nighttime bed exits or bathroom overstays save us from constant manual checks. It accurately detects partial falls, which reduces our workload. A practical addition would be monitoring subtle mood changes to support emotional care.

- Emily Wang

Since adopting this system, we’ve noticed a significant reduction in accidents like falls or unauthorized entries. The alerts for unusual movements, such as residents approaching restricted areas, have been particularly helpful. The data reports also assist in optimizing staff shifts, which improves overall efficiency.

- Grace Lin

When my father slipped in his room, caregivers arrived within seconds thanks to the fall alert. The system’s ability to notify staff about prolonged isolation also reassures me that his social needs are monitored. It’s a practical solution for families seeking peace of mind.

Liu Ming

How accurate is the fall detection?

Our AI combines motion models, limb velocity analysis, and multi-angle tracking to identify falls (full collapses, partial slips, sitting drops) with over 95% accuracy in real-world tests.

Can it integrate with existing security cameras?

Yes. The modular design (AI algorithm + computing terminal) works with most existing cameras. No hardware replacement is needed, minimizing upgrade costs.

Does it work in low-light or crowded environments?

Yes. Adaptive image enhancement ensures reliable tracking in low-light conditions. Multi-camera angles (45°–65°) reduce blind spots and occlusion errors.

What support is provided post-installation?

We offer 24/7 technical support, remote algorithm updates, and optional training for staff. Data is stored locally (no cloud upload) and encrypted for security.

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