Real-time smoke detection from camera feeds — bounding boxes identify active smoke regions
Two products, one mission. Real-time smoke detection from camera feeds and satellite-driven fuel risk intelligence — so you can see fires early and predict where they start.
Real-time AI inference on camera feeds. Detect smoke in <100ms with day & night models.
Satellite-derived vegetation stress analysis. Know where risk is rising before a spark becomes a fire.
AI-powered wildfire smoke detection from camera feeds. One API call, instant results.
Trained on thousands of real wildfire images. Low false positives with confidence scoring on every detection.
Automatically switches between day and night optimized models for accurate detection in all lighting conditions.
Handles hundreds of cameras per instance with sub-second latency. Built to scale with your deployment.
Real-time smoke detection from camera feeds — bounding boxes identify active smoke regions
From camera image to smoke detection in one API call.
File upload, URL, or batch of URLs
Image optimized for model input
Smoke detection model analyzes the image
Bounding boxes, classification
Sign up for a free API key, then start detecting smoke with a single API call.
curl -X POST https://indicus.ai/predict \ -H "X-API-Key: sk-wildfire-a1b2c3..." \ -F "file=@Aliso_Laguna_1_a1782-e-mobo-c.jpg" # Response: # {"detections":[{"xmin":120.5,"ymin":80.3,"xmax":340.2,"ymax":250.1, # "confidence":0.72,"name":"Smoke"}], "inference_ms":85.4, "model":"day"}
# From URL curl -X POST "https://indicus.ai/predict/url?url=https://example.com/camera.jpg" \ -H "X-API-Key: sk-wildfire-a1b2c3..." # Batch (multiple URLs) curl -X POST https://indicus.ai/predict/batch \ -H "X-API-Key: sk-wildfire-a1b2c3..." \ -H "Content-Type: application/json" \ -d '["https://url1/img.jpg","https://url2/img.jpg"]' # Check remaining calls curl https://indicus.ai/usage -H "X-API-Key: sk-wildfire-a1b2c3..."
Or use the HTML signup form — no curl needed.
RESTful JSON API. Interactive docs at /docs.
| Endpoint | Method | Auth | Description |
|---|---|---|---|
/predict | POST | X-API-Key | Single image inference via file upload |
/predict/url | POST | X-API-Key | Inference from image URL |
/predict/batch | POST | X-API-Key | Batch inference on multiple URLs (up to 16) |
Satellite-derived fuel risk scores per zone, updated as conditions change. Analyzes vegetation stress from multi-spectral imagery to identify where fuel loads are drying out — before a spark becomes a fire. Turns that signal into a single actionable score so your cameras automatically focus where risk is rising. Built for fire agencies and cities. No GIS team needed.
Monitors vegetation health from space to flag drying fuel — a key wildfire precursor — before conditions become critical.
Combines terrain and fuel data into actionable risk zones, so you know exactly where to focus resources.
Tracks environmental changes over time to identify burn scars, drought stress, and vegetation recovery.
Works for any region worldwide. Deploy wherever your cameras or assets are located.
Start free, scale as you grow. No credit card required.