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Healthcare never sleeps, and neither should your safety systems. Visylix turns existing hospital cameras into an AI-powered safety net that protects patients, optimizes staff workflows, and ensures compliance across every department, every shift, every day.
Four specialized AI models designed to address the unique challenges of hospital environments, from patient identification to infection control compliance.
Face recognition with liveness checks at reception, pharmacy and restricted areas, with watchlist and unknown-person alerts for security teams.
Per-camera tracking of staff and patient movement across departments. See zone occupancy, dwell time and bottlenecks at a glance.
Real-time occupancy monitoring for waiting rooms, emergency departments, and common areas. Prevent overcrowding and dynamically redirect patient flow.
Automated PPE compliance verification for masks, gloves, gowns, and face shields. Instant alerts when staff enter sterile zones without proper protective equipment.
Real-world applications that demonstrate how Visylix helps hospitals deliver safer care, reduce operational costs, and meet stringent regulatory requirements.
Continuous AI-powered observation across patient areas that detects falls through pose estimation, zone exits, loitering and crowding in real time. Visylix transforms passive camera feeds into an active safety net that alerts staff the moment something goes wrong, not minutes later.
Map real-world patient and visitor flow through every department to uncover bottlenecks that spreadsheets cannot reveal. Visylix provides administrators with objective data on where congestion builds, enabling evidence-based decisions that shorten waits and improve care delivery.
Secure sensitive areas like pharmacies, neonatal units, operating theaters, and supply rooms with facial recognition and tailgating detection layered over badge access. Visylix alerts the moment an unrecognised person enters a restricted zone and creates a complete audit trail for regulatory compliance.
Capabilities every Visylix hospital estate gets out of the box, across patient safety, compliance, and operational efficiency.
Analytics and the copilot run on hospital infrastructure, air-gapped if required.
PPE detection measured on a frozen 10,315-image set, with masks, gloves, face shields and coveralls checked per zone.
Always-on AI analytics across every connected camera ensure patient safety around the clock.
Pose-based fall detection alerts the nursing station with an evidence frame attached.
Our healthcare solution architects understand the unique demands of clinical environments. Let us design a Visylix deployment that meets your facility's safety and compliance goals.
Visylix AI monitors patient areas for fall detection, unauthorized access to restricted zones, and PPE compliance by medical staff, providing real-time alerts to nursing stations and reducing adverse events in healthcare facilities.
Visylix is built to support your HIPAA and NABH programs: face and plate redaction, on-premise or air-gapped deployment, per-camera access control and a full audit log. It holds no certification itself.
No. Visylix holds no formal certification. It provides the technical controls those frameworks ask for: on-premise or air-gapped deployment, encryption in transit, role-based access control, configurable retention, evidence lock and full audit logging. Certification is on the roadmap.
Processing happens on hospital infrastructure, so footage never leaves the building for analysis, including AI inference and copilot queries. Privacy redaction masks faces or regions before export, and access control with 46 permissions limits who can view which cameras.
Yes. Retention is configurable per camera and per site, so wards with different regulatory requirements can hold footage for different periods on one system. Evidence lock preserves specific recordings while an investigation is open.
No. It detects events such as falls, intrusion, loitering and crowd density, and rules can require a sequence before alerting. Clinical interpretation stays with staff, and any use in a care pathway should be validated on your own footage during the proof of concept.