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.
SOVEREIGN AI VALUE
Faces, movement patterns, license plates — video surveillance data sits under strict data-protection and cybersecurity law, and sending it to the cloud is itself a compliance risk. SkyVision was designed from day one as an operational-sovereignty-grade solution: edge compute, data that never leaves your site, naturally fit for government and city-management deployments.
A handful of sample images, a few minutes on-site — the model trains locally and video never leaves your network.
99% compatible with RTSP/ONVIF — no new hardware, no footage sent to the cloud.
For government, transportation and energy scenarios, it naturally meets the data-localization bar set by China's revised Cybersecurity Law.
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.
WHY DAOAI
Plenty of platforms let you "train your own AI, no code" — but most are standalone classifiers, each trained in isolation. SkyVision runs on the same DaoAI World foundation model that also spots defects on production lines and guides robotic arms. Scene understanding compounds across product lines — it isn't yet another classifier trained from scratch.
The same spatial-understanding capability extends from line-side inspection to city-scale surveillance — training carries over across scenarios, not siloed per product.
Switching to a surveillance-only vendor means giving up that cross-scenario understanding.
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)
No. DaoAI's SkyVision doesn't need an AI team. Users just upload a few sample images and describe what to detect. The system can train a dedicated model suitable for the environment in minutes with 0-code, and business personnel can easily operate it.
Yes. It is 99% compatible with RTSP/ONVIF cameras, allowing smooth access to existing hardware without replacement. It can be deployed to existing cameras with one-click, featuring edge computing and keeping data local throughout.
SkyVision has a wide range of application scenarios, covering nine major areas such as digital city governance, construction site safety, highway control, and toll station intelligentization, meeting the monitoring and detection needs of different industries.
Most comparable platforms are standalone classifiers trained in isolation. SkyVision runs on the same DaoAI World foundation model that also serves the factory-inspection and robot-vision product lines — scene understanding compounds across product lines, rather than being trained from scratch each time.
The Q&A above was generated with AI assistance and is for reference only; official specifications and commitments are subject to direct consultation.