Improve patient safety and operational efficiency in healthcare facilities with fall detection, restricted area monitoring, and occupancy management.
Deep dive into our industry specific capabilities and approach.
Healthcare facilities face unique security and safety challenges that require specialized video intelligence solutions. Visylix provides hospitals, clinics, and long-term care facilities with AI-powered monitoring that prioritizes patient safety while maintaining strict HIPAA compliance. Our platform detects falls in patient rooms within seconds, monitors restricted areas for unauthorized access, and provides real-time occupancy data for emergency departments and waiting areas.
Patient fall detection is one of the most critical applications of Visylix in healthcare settings. Our pose estimation AI monitors patient rooms 24/7, detecting falls and triggering immediate alerts to nursing staff with the exact room location and a video snapshot. This reduces response time from minutes to seconds, significantly decreasing fall-related injuries and associated liability costs. The system operates without storing personal biometric data, maintaining full privacy compliance.
Beyond patient safety, Visylix helps healthcare administrators optimize facility operations with occupancy analytics, visitor management, and parking guidance. Emergency department managers gain real-time visibility into waiting room capacity and patient flow, enabling better resource allocation during peak periods. Integration with hospital information systems allows automated visitor check-in and wayfinding, improving the patient and family experience while reducing administrative burden on front-desk staff.
What the platform does for your operation.
Purpose built capabilities for your industry.
Real-world applications of Visylix in healthcare.
Computer vision capabilities that power this solution.
See how Visylix serves different sectors.
Get a personalized demo of Visylix tailored to your healthcare requirements. Our team will show you exactly how AI video intelligence can solve your specific challenges.
Visylix uses pose estimation AI for 24/7 patient fall detection with instant nurse alerts, monitors restricted areas like pharmacies for unauthorized access, and provides emergency department occupancy analytics. All processing is on-premise with zero cloud dependency for full HIPAA compliance.
Visylix is built for HIPAA-regulated environments: 100% on-premise with encrypted video storage, dynamic privacy masking, RBAC with 30+ permissions, configurable retention policies, and comprehensive audit logging. It operates without storing personal biometric data in patient monitoring mode. HIPAA compliance is a shared responsibility that also depends on how your organization deploys and operates the platform.
Yes. Visylix provides 200+ REST API endpoints for integration with hospital information systems, nurse call systems, and visitor management platforms. It supports 13 streaming protocols for connecting existing hospital camera infrastructure.
Through on-premise processing and privacy redaction. Because Visylix runs as a Docker image on hospital infrastructure, no footage leaves the building for analysis, including AI inference and copilot queries. Redaction can mask faces or regions before footage is exported, and role-based access control with 30+ permissions limits who can view which cameras.
No. Visylix holds no formal security certification today, and we will not claim otherwise. What it provides are the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control, configurable retention, and full audit logging of every operator action. Certification is on the roadmap.
It detects the underlying events rather than diagnosing them. Intrusion, loitering, line crossing, crowd density, and per-camera anomaly detection all run on live streams, and Sudarshan rules can combine them into a sequence before alerting. Any use in a clinical safety context should be validated on your own footage during the proof of concept.
Retention is configurable per site and per camera, so wards with different regulatory requirements can hold footage for different periods on the same system. Evidence lock prevents specific recordings from being deleted by retention rules while an investigation is open.
Radha runs fully on-premise on the hospital’s own hardware, so nothing it processes is transmitted externally. It has 100+ tools available against the camera fleet, of which 12 change state and require explicit confirmation, none can delete anything, and every query and action is audit-logged against the operator who made it.