Train
Upload a few sample images and describe what to detect — in minutes the system trains a custom model for your environment, no ML team needed.
PRODUCT · SkyVision · SURVEILLANCE INTELLIGENCE
Build custom video-surveillance AI models with no AI team; configure detection with no code;all data processed on-premise, fully secure.
WORKFLOW · Live in 3 Steps
Upload a few sample images and describe what to detect — in minutes the system trains a custom model for your environment, no ML team needed.
One-click deploy to existing RTSP / ONVIF cameras; edge compute, low latency, data stays local.
Once live, it detects events across all camera streams in real time and pushes alerts.
Build and fine-tune custom vision models locally for your scenarios.
Drag-and-drop detection logic — usable by business teams, no algorithm team.
Real-time event detection and push, up to 256 streams, response < 1s.
Works with RTSP / ONVIF cameras, no hardware swap.
Training and inference stay local; data never leaves your site.
Turn video into actionable dashboards and trends for your command center.
Nine Scenarios · SCENARIOS
City-appearance order, illegal parking, people/vehicle flow and intelligent event reporting.
Hard-hat / PPE compliance, restricted-zone entry, heavy-equipment interaction.
Road debris, stalled vehicles, abnormal traffic and event detection.
Traffic / vehicle-type / violation recognition — 99.2% accuracy, audit workload −85%.
Back-kitchen hygiene compliance, open-kitchen monitoring and process verification.
Assembly sequence, unsafe operations, inspection points and on-site safety checks.
Early smoke/fire detection and intrusion warning — millisecond alerts.
Perimeter protection, high-altitude object throwing, loitering strangers and abnormal gatherings.
Footfall counting, fire-lane obstruction and e-bike-in-elevator detection.
HARDWARE
1× RTX 4060Ti 16G — small factory / single-floor building.
4× RTX 4080S 16G — mid-size campus / multi-floor building.
8× RTX 4080S 16G — large industrial park / city scale.
Common specs · zero-code visual configuration · 7 trainable + 3 pretrained models · millisecond anomaly-detection response · on-prem private deployment · compatible with 99% of existing cameras (RTSP / ONVIF)