Anomalies found by patrol
Illegal logging, poaching, fire points, illegal construction depend on manual patrol and citizen reports — detected late, coverage incomplete.
Solution · Smart Ecology
Ecology monitoring & alerts.
Give the reserve a digital twin.
For nature reserves, wetlands, forestry, environmental regulators. Brings sensors, satellite imagery, video and ranger reports into one platform. Combined with industry models, delivers explainable indicators and alerts — experts no longer drown in false positives.
Pain Points
Detected late, data scattered, AI can't explain.
Three classic headaches in ecology digitalization. AI + middle platform can solve all three at once.
Multi-source data scattered
Sensors, satellite, video, ranger reports each in their own system. Trend analysis still runs on Excel.
AI alerts don't explain themselves
Traditional CV alerts say 'this is anomalous' without explaining why. Expert review workload is heavy.
Data Sources · Four types
Bring every reserve data source onto one platform.
Sensors, satellite, video, ranger reports — once ingested, can be cross-queried and analyzed together.
Ground sensors
Temperature, humidity, PM, noise, water quality, soil sensor networks ingested in real time.
- LoRa / NB-IoT ingestion
- Resumable transfer + offline buffering
- Sensor health self-check
Satellite imagery
Sentinel / Gaofen series remote sensing on demand — vegetation cover, fire points, change detection.
- Near-real-time image fetch
- NDVI / fire / change detection
- Time series comparison + anomaly tagging
Video streams · IR cameras
Reserve surveillance and IR camera auto-recognition of people, vehicles, animals; abnormal event classification.
- Multi-target detection
- Wildlife species recognition
- Suspicious behavior classification
Ranger reports
Mobile app for rangers to report location, photo, text description — auto-archived with quality assessment.
- Mobile app reporting
- AI-assisted classification
- Geo-location auto-calibration
Solution Blocks · Four modules
Monitoring platform / explainable alerts / industry modeling / dashboard reporting.
Not just one chatbot. Four modules unified by data and identity — one contract for the reserve.
Domain-wide monitoring platform
Unifies all data sources into one platform and builds a 'digital twin' for the reserve — everything queryable, relatable, analyzable.
Explainable alert system
When AI raises an alert, it ships an inference chain: which data triggered it, why, what similar historical cases look like. Expert review efficiency lifts significantly.
Industry modeling & metrics
Vertical models and metric systems for forestry, wetlands, marine, wildlife — not generic CV reskinned.
Ops dashboard & reporting
Reserve ops dashboard + AI-generated weekly / monthly / yearly reports, aligned with forestry bureau and environmental agency formats.
Product Matrix
Behind the solution: AI-OS + AiDo + Private Cloud.
AI-OS
Provides data ingestion, vector index, industry model evaluation, agent governance, dashboard foundation.
AiDo Studio + AiDo
Ranger assistant, alert-review agent, report-generation agent — continuously iterated for reserve scenarios.
Shuke Smart Cloud
Deploys in reserve datacenter or government cloud — sensitive geolocation data never leaves the perimeter.
Delivery
Four steps, from diagnostic to ongoing ops.
Reserve diagnostic
Survey current state with the forestry bureau / reserve management — sensors, satellite, video, ranger data, scope first scenarios.
~2-3 weeks
Data ingestion & platform build-out
Connect sensors, satellite, video, ranger reports into the AI-OS platform. Establish digital twin and baseline metrics.
~4-6 weeks
First batch AI applications live
Start with 'IR camera wildlife recognition' or 'fire-point change detection' as a single scenario. Run 1-2 months to measure impact.
~6-8 weeks
Scale & continuous ops
Add domain-wide monitoring, explainable alerts, report generation. Monthly data reviews and quarterly roadmap.
Ongoing
FAQ
Integration / accuracy / compliance / overseas satellites — four common questions.
Can we keep the existing CV alert system?
Yes. We offer API adapters for mainstream forestry / environmental IoT platforms and video management platforms. AI-OS can act as the 'upper intelligence layer' beside the existing platform, or serve as the next-generation unified platform.
What's the wildlife species recognition accuracy?
Field data training required. The generic model handles common species (birds, deer, bears, tigers, leopards) well (>90%), but endangered or regional species need on-site sampling and training. We provide the full pipeline from data collection to model deployment.
Can sensitive geolocation data run on public cloud?
Raw location data should strongly go to private cloud. We deploy AI-OS and AiDo to the reserve datacenter or provincial government cloud; only desensitized indicators and visualizations are exposed on the public internet.
Can we ingest overseas satellite data (e.g. Sentinel)?
Yes. Sentinel, Landsat and other open remote-sensing sources are pre-adapted. We can also ingest domestic satellites (Gaofen, Ziyuan series). Commercial satellite data can be procured per project.
Get in touch
Start with a reserve data state assessment.
Global DT offers a free 2-3 hour planning session — we walk through your sensor, satellite, video, ranger data state before recommending anything.