AI-powered vision intelligence that understands scenes in real time.
Advert enables real-time crowd, incident, and loss-prevention intelligence across retail and high-footfall public spaces. Using deep-learning vision models, skeleton and multi-object tracking, and edge-based AI processing, it delivers faster detection and safer operations without disrupting customer experience.
Retail & Shopping Malls
Primary Focus: Loss prevention, shopper safety, peak-time control
- People & object detection: Tracking movement across aisles, entrances, and high-risk zones
- Behavioral analysis: Identifying suspicious actions, concealment patterns, and abnormal movement
- Object-awareness: Unattended item detection in public and semi-public areas
- Crowd intelligence: Density and flow visibility during sales, weekends, and peak events
- Edge inference: Real-time alerts without reliance on cloud connectivity
Hotels & Hospitality Properties
Primary Focus: Guest safety, service continuity, discreet security
- Access and perimeter security: Monitoring entrances, drop-offs, and service zones
- Multi-object tracking: Situational awareness in lobbies, corridors, and shared spaces
- Safety incident detection: Slip, fall, and unusual incident detection using skeleton cues
- Unauthorized access detection: Back-of-house and restricted-area monitoring
- Low-light vision: Reliable detection in night-time and mixed-light hospitality environments
Casinos & Gaming Floors
Primary Focus: Fraud prevention, compliance, continuous operations
- High-precision tracking: Persistent people tracking in dense, fast-moving crowds
- Behavioral detection: Skeleton-based detection of unusual movement patterns and clustering
- Zone-based security: Monitoring cash-handling areas, restricted rooms, and controlled access points
- Forensic indexing: Event-tagged timelines for rapid investigation and compliance review
- Continuous-duty analytics: Designed for 24/7, mission-critical uptime
Stadiums, Venues & Restaurants
Primary Focus: Crowd safety, incident response, operational efficiency
- Crowd intelligence: Density and flow analysis across entry gates, concourses, and seating areas
- Queue and congestion analytics: Monitoring bottlenecks and peak-time risk zones
- Incident detection: Motion and skeleton analytics for fights, falls, and rapid dispersal
- Object & access: Unattended items and restricted-zone enforcement in backstage and service areas
- Edge-first processing: Low-latency detection during peak loads and network strain
