Smart Camera Analytics
YOLO-powered crowd detection, queue length estimation, and wait time prediction from standard IP cameras.
From computer vision crowd analytics to live wait time prediction — we engineer smart CCTV solutions for theme parks, hospitals, and public venues. Edge AI that works offline, built for Indian scale.
YOLO-powered crowd detection, real-time queue analytics, guest signage boards, operations dashboards, and manual override workflows — all running on your edge hardware.
Override · Alert · Broadcast · Export
AI-powered camera modules and smart CCTV systems for intelligent venues.
YOLO-powered crowd detection, queue length estimation, and wait time prediction from standard IP cameras.
Camera-based crowd density tracking with zone-level analytics, heat maps, and capacity alerts.
Digital display boards with real-time wait times, ride status, and dual-language support for guest areas.
Real-time ops view: ride status, camera wall, alerts, manual overrides, and park-wide analytics.
Operator-assisted manual overrides for camera downtime, special events, and emergency ride closures.
Historical footfall data, peak-hour patterns, staffing recommendations, and express-pass optimization insights.
Everything your venue needs for intelligent queue management.
YOLO-based crowd detection on edge hardware
Sub-second wait time updates across all channels
Built for DPDP compliance from day one
Connect to your park app, website, and systems
From site survey to live deployment — a tight loop with clear checkpoints.
Map ride zones, camera positions, network topology, and display locations. Define POC scope with 2-4 rides.
Deploy edge hardware, install cameras, calibrate detection zones, and run validation against ground truth.
Launch with operator training, 24/7 monitoring, and continuous model tuning as your park grows.
Queue intelligence that your operations team will actually use — accurate, reliable, and built for Indian park scale.
We focus on what matters: accurate wait times that guests trust, camera systems that work in Indian weather, and dashboards operators actually use during peak hours — not just demos.