Decision-Driven AI
Video Intelligence Platform
End-to-end AI fusion for the video IoT field. Solve data silos, fragmented intelligence, difficult customization, and high costs — with private deployment, full-stack controllability, and cloud-edge-device collaboration.
Five Problems, One Solution
Traditional video surveillance suffers from fundamental limitations. VLStream addresses all of them.
Data Silos
Unified video aggregation across all protocols — GB28181, RTSP, ONVIF, GA/T1400. One platform for all sources.
Fragmented AI
Dual AI closed loop — discriminative AI for perception plus decision-making AI for execution. See, judge, act.
Hard to Customize
Import TensorFlow/PyTorch models, train custom algorithms, and deploy industry-specific solutions — zero vendor lock-in.
Security Risks
Private deployment, data never leaves your network. GB35114 compliant, encryption at rest and in transit, full audit logging.
High Costs
MIT licensed, no license fees, no per-node charges. Reuse existing cameras with edge AI modules — no hardware replacement.
Dual AI Closed Loop
From perceiving the world to making decisions and taking action — fully automated intelligence pipeline.
Discriminative AI Engine
PerceptionSee and understand the visual world with industrial-grade accuracy.
- 80+ target types (people, vehicles, objects)
- Behavior analysis (loitering, running, gathering)
- 320,000+ face database with real-time matching
- 99% license plate recognition accuracy
- 10+ anomaly types (smoke, intrusion, boundary crossing)
- Feature extraction (faces, plates, clothing attributes)
Decision-Making AI Engine
ExecutionJudge situations and orchestrate automated responses across systems.
- Event level determination & priority sorting
- Trend prediction & resource scheduling
- Multi-channel alarm (PSTN, SMS, APP, Email)
- Linkage control (PTZ, lights, access gates)
- Automatic ticket generation & dispatch
- 1000+ concurrent stream orchestration
Four-Layer Full-Link Architecture
Cloud-edge-device collaboration with dynamic scheduling. Global decisions in the cloud, real-time analysis at the edge, data collection on device.
Platform Layer — VLStream Cloud
Core HubEdge Layer — VLStream Edge
Real-Time IntelligenceDevice Layer — Sensing & Acquisition
End DevicesApplication Layer — Client Software
User InterfacePurpose-Built AI Hardware
From native AI cameras to edge computing boxes — deploy AI analytics on any infrastructure.
AI IPCamera
Purpose-built intelligent cameras with on-device AI — from entry-level surveillance to flagship multi-model analytics.
OORT-IPC-4G-30M
- 4G/Wired dual network
- AIISP full-color night vision
- Automatic zoom
- IP66 weatherproof
- -30℃ to +60℃ wide temp
OORT-6600-2.5
- 2.5T edge computing power
- On-device object detection
- Optical fog penetration
- Smart target tracking
- Local inference + cloud sync
OORT-6600-6
- 6T edge computing power
- Multi-model concurrent inference
- 80+ target recognition
- Behavior analysis on-device
- Real-time structured data output
OORT-6600-20
- 20T edge computing power
- Full video structuring
- Multi-stream parallel analysis
- Complex scene reasoning
- VLM-ready architecture
AI-Box VLStream Edge
Edge AI computing terminals that retrofit your existing IP cameras — add intelligent analytics via RTSP without replacing your camera infrastructure.
OORT-BOX-AI-1
- 1-channel RTSP input
- On-device object detection
- Real-time alert push
- Compact fanless design
- VLStream Open-source software included
OORT-BOX-AI-8
- 8-channel RTSP input
- Multi-model concurrent inference
- AI visual behavior analysis
- Real-time structured data output
- VLStream Open-source software included
OORT-BOX-AI-32
- 32-channel RTSP input
- Full video structuring
- AI visual behavior analysis
- Complex scene reasoning
- VLM-ready architecture
AI-vLLM-SERVER vLLM Inference
Purpose-built vLLM inference servers — no model training required, direct vLLM recognition out of the box.
OORT-AI-vLLM-SVR-1
- 1-channel video input
- 20T computing power
- No model training required
- Direct vLLM inference
- Out-of-the-box deployment
OORT-AI-vLLM-SVR-8
- 8-channel video input
- 160T computing power
- No model training required
- Direct vLLM inference
- Out-of-the-box deployment
OORT-AI-vLLM-SVR-64
- 64-channel video input
- 1P computing power
- No model training required
- Direct vLLM inference
- Out-of-the-box deployment
- Optional integrated cabinet delivery Built-in liquid cooling technology Edge deployment without dedicated server room
Supported Chipsets
Real-Time VLM Streaming
Let large vision-language models watch video streams in real time — understand scenes frame by frame with streaming output.
Video Stream Input
RTSP / WebCam / File at 15-30 FPS. Continuous frame capture with zero drops.
Frame Scheduler
Intelligent frame skipping and uniform sampling. Controls flow to prevent AI overload.
VLM Inference
LLaVA, Qwen-VL, InternVL — any open-source vision model. No training needed.
Streaming Output
Real-time answers in milliseconds. No waiting for video to end.
Supported Models
Use Cases
- Real-time surveillance analysis
- Live streaming commentary
- Robot vision understanding
- AR/Smart glasses perception
- Document & invoice OCR
- Multi-channel parallel analysis
Performance
From Raw Data to Production Models
Integrated training and deployment — verify inference in your browser, then one-click deploy to edge devices remotely.
Annotate
Built-in labeling for detection, segmentation, and classification. Collaborative workflows with quality assurance.
Train
AutoML or full manual control. Distributed GPU training with dynamic resource scheduling. Import TensorFlow/PyTorch models.
Optimize
Export to 17 formats: ONNX, TensorRT, CoreML, TFLite, OpenVINO, and more. Quantization and pruning for edge.
Deploy
Verify in browser, then one-click remote deploy. OTA updates, A/B testing, rollback, and real-time performance monitoring.
Enterprise-Grade Performance
Built for demanding production environments with industry-leading specifications.
Self-Developed VLS Protocol
Purpose-built for video IoT. Low latency, extreme packet loss resistance, and universal compatibility.
Video Transmission
- VLS Protocol: TCP-based, <1.2s latency, no stutter at 30% loss
- WebRTC P2P: Millisecond interconnection, 70% bandwidth savings
- Multi-protocol: HLS, FLV, RTSP, GB28181 — all terminals
- Encoding: H.264/H.265, 4K/1080p/720p adaptive
IoT & Control
- MQTT: Transparent command transmission to devices
- IoT Center: TCP/IP 4G network capabilities for peripherals
- Object Model: Standardized device descriptions & sync
- Fusion: Video stream + sensor data combined alerts
Security & Compliance
- GB28181: National surveillance standard
- GB35114: Enhanced security certification
- Encryption: In-transit and at-rest data protection
- Audit: Full operation logging & access control
Deploy Anywhere
Private cloud, hybrid, or air-gapped. Data never leaves your network. x86 and ARM supported.
On-Premise
Full air-gap support for sensitive environments. Complete data sovereignty on your own infrastructure.
curl -fsSL https://get.vlstream.dev | bash
Docker
One-click deployment with Docker Compose. Full stack running in 5 minutes with GPU passthrough.
docker compose up -d
Kubernetes
Production Helm charts with auto-scaling, HA clustering, load balancing, and automatic failover.
helm install vlstream oort/vlstream
Platform Compatibility
Built for Real-World Scale
Deployed across industries where intelligent video analysis drives operational decisions.
Smart City
Integrated video surveillance, urban violation identification, closed-loop work order processing, and emergency command dispatch.
Public Safety
Crowd density monitoring, abnormal behavior early warning, facial recognition, and emergency resource dispatch for large events.
Smart Campus
Suspicious loitering detection, illegal parking, helmet compliance, smoke/fire alerts, and perimeter intrusion monitoring.
Digital Government
Cross-departmental video sharing, unified scheduling, and intelligent analysis for public security, emergency, and transportation.
Industrial & Mining
Equipment fault detection, hazardous area intrusion, PPE violation detection, environmental monitoring, and remote inspection.
Smart Agriculture
Forest fire prevention, river flood control, power line inspection, growth monitoring, and pest identification in weak-network areas.
100% Open Source
MIT licensed. No hidden proprietary components, no closed-source modules. Core source code, VLS protocol, AI engine, and scheduling engine — all open.
Cloud platform core — management, AI engines, scheduling, video aggregation, and decision-making.
Network video recorder — storage, playback, management, and local inference capabilities.
Cross-platform desktop client (Windows/macOS/Linux) — multi-device monitoring, electronic maps, alarm pop-ups.
Mobile app (iOS/Android/HarmonyOS) — live preview, playback, alerts, two-way voice, PTZ control.
AI native camera firmware + SDK — supports HiSilicon, Rockchip, Ingenic, and Goke chipsets.
Edge AI box firmware + algorithm packages — real-time analysis, local alerts, computing power caching.
Self-developed VLS protocol — low latency, packet loss resistance, MQTT IoT control, and transparent device commands.
Front-end/back-end separated architecture — modern codebase, clean API interfaces, easy to customize and build your own product on top of VLStream.
Why VLStream vs. Closed Source
Compare VLStream with traditional closed-source video platforms.
| Dimension | VLStream (Open Source) | Traditional Platforms |
|---|---|---|
| Source Code | 100% open, no hidden components | Closed source, core not visible |
| Commercial Cost | Free commercial use, no license fees | High licensing, annual, and customization fees |
| Customization | Deep secondary development, full refactoring | Long cycle, high cost, vendor lock-in |
| Data Security | Private deploy, data never leaves network | Cloud upload, data leakage risk |
| Protocol | National standards + self-developed, 100% reuse | Proprietary protocols, hard to reuse |
| AI Control | Full AI engine control, custom algorithms | Closed algorithms, limited upgrades |
Three Core Advantages
Reuse Existing Equipment
Existing cameras and IPCs stay in place. OortCloud edge AI modules give them intelligence — no hardware replacement needed. Maximize ROI on existing infrastructure.
Human to AI Monitoring
Transform manual surveillance into AI-powered monitoring. Built-in alert push sends real-time notifications to relevant personnel. Reduce labor costs and create perceptive intelligent agents.
Configurable AI Algorithms
Train and dynamically load algorithms on demand. Different scenarios, different time periods, different early warning items — all configurable without code changes.
Ready to ship Vision AI?
Deploy VLStream in 5 minutes. Transform your video infrastructure with decision-driven AI. 100% open source, zero vendor lock-in.
Need commercial support? OortCloud offers paid technical support, custom development, and deployment services.