Drone, CCTV and IoT for guest recognition, smart check-in, security, and operations management at hotels and resorts.
Critical issues facing modern hospitality operations
Travellers expect personalised service from arrival to departure, with no friction at key touchpoints
Hotels face theft, unauthorized access, and safety concerns daily
Labor-intensive operations drive up costs and impact service quality
Complex regulatory requirements across fire, health, and security standards
Drone, CCTV and IoT working as one platform
Autonomous aerial surveillance with thermal imaging, 4K video, and precision sensors for comprehensive coverage
data-driven surveillance with 24/7 monitoring, intelligent analytics, and instant threat detection
Connected sensor networks for environmental monitoring, occupancy tracking, and predictive analytics
Monitoring and guest recognition built for hospitality operations
Instant guest identification for check-in and VIP recognition at arrival
Real-time occupancy monitoring for optimal staff allocation and crowd management
Instant alerts for unauthorized access to restricted areas and guest floors
24/7 safety monitoring ensuring compliance and guest protection
Comprehensive resort security with intelligent boundary surveillance
Contactless room and amenity access using biometric verification
From arrival to improvement - continuous excellence
Face recognition welcomes guests instantly
Personalized service at every touchpoint
24/7 safety and operations oversight
Data-driven insights enhance service
Real results from hospitality operators worldwide
Average post-implementation score
Security incidents prevented
Reduced wait times
Live deployments across Middle East hotels and resorts
Complete operator security and guest experience system across 850 rooms with face recognition check-in.
Enterprise-wide security deployment across 45 properties with centralized monitoring.
Integrated occupancy and access control system optimizing staff efficiency across 12 hotels.
Solutions for every hospitality environment
Edge-AI processes video on-camera or on a local appliance — no raw video leaves the property. Person detection, crowd density, and anomaly alerts run in real-time; faces are blurred or never captured unless explicitly consented. This satisfies both PDPL and international hospitality privacy standards (GDPR for international guests).
Yes. Perimeter and pool-zone AI watches for: entry during closed hours, distress postures (prolonged stationary presence at pool bottom or surface), and unauthorized access to staff-only areas. Alerts route to security within 1.5–3 seconds. Detection accuracy exceeds 94% after site-specific tuning.
Yes. We integrate with Opera, Mews, Cloudbeds, and major Saudi-deployed PMS systems. Access-control integrations include Salto, Assa Abloy, Dormakaba, and Onity. The AI layer enriches incident logs with structured metadata (guest ID, room, time) for faster investigations.
A typical 200-room property with 40–60 camera zones takes 3–4 weeks: site survey (3 days), edge appliance installation (5–7 days), AI tuning per zone (7–10 days), staff training (2 days), and go-live. Phased rollouts are common — start with high-risk zones (pool, lobby, perimeter) in week 1.
Custom zones and time-based rules are core to ViewKeeper's KSA hospitality deployment. The system can enforce gender-separated pool/prayer hours, flag unauthorized presence in restricted zones during specific windows, and generate compliance reports for management — all configurable per zone and time-of-day.