Delivers Trusted Edge Ai Vision for Healthcare and Educational Environments

Enterprise & Smart Environments

AI-powered vision intelligence that understands scenes in real time.

OptiNoct delivers privacy-aware, real-time security intelligence for hospitals, schools, universities, and institutional campuses. Using deep-learning vision models, skeleton and multi-object tracking, and edge-based AI processing, it supports safer movement, faster emergency detection, and sensitive-zone compliance without disrupting people-first environments.

Hospitals & Healthcare Facilities

Primary Focus: Patient safety, controlled access, clinical continuity

People tracking: Movement across lobbies, corridors, and critical access points with privacy-aware configuration
Posture and safety analysis: Detection of falls, sudden collapse, and abnormal posture patterns
Restricted-zone monitoring: ICUs, pharmacies, labs, and controlled-entry corridors
Low-light perception: Night shifts, emergency entrances, parking, and back-of-house areas
Edge and central processing: Immediate alerts combined with centralized audit and forensic review
Event indexing: Traceability for incident review and compliance documentation

Schools & Child-Safe Environments

Primary Focus: Child safety, perimeter control, behavioral awareness

Perimeter and gate monitoring: Verified intrusion and access events
People movement analysis: Visibility across entrances, hallways, classrooms, and common areas
Behavioral cue detection: Running in restricted areas, falls, and unusual crowding patterns
Object-awareness detection: Unattended objects in corridors and high-footfall areas
Restricted-zone enforcement: Staff-only and sensitive areas
Centralized campus intelligence: Consistent alerting across multiple buildings

Universities & Large Campuses

Primary Focus: Crowd management, open-area safety, incident reconstruction

Wide-area tracking: Open walkways, parking areas, and multi-building corridors
Cross-camera correlation: Following movement across zones and time
Crowd density and flow analysis: Events, peak hours, and emergency routing support
Restricted-zone monitoring: Secured buildings, labs, and after-hours access points
Edge-first processing: Reduced bandwidth load with real-time detection
Forensic timeline reconstruction: Post-incident analysis and review

Religious Facilities &
Public Institutions

Primary Focus: Public safety, respectful monitoring,

event security

Crowd monitoring: High-footfall gatherings with non-intrusive surveillance
Incident detection: Falls, panic movement cues, and abnormal crowd behavior
Access and breach monitoring: Sensitive or controlled areas during events
Perimeter and entry intelligence: Secure access during peak attendance
Low-light perception: Early mornings, evenings, and shadow-heavy interiors
Event-based timelines: Post-incident clarity and reporting