Space Tech · Edge AI · Innovation · Thales Alenia Space
Thales Alenia Space - EDGE SPACE
Edge AI for satellite imagery. Detect critical events onboard, generate structured lightweight alerts, and deliver actionable intelligence in minutes, not hours. No extra satellites required.
The Problem
The problem is not detection. It is delay.
Current satellite pipelines download everything first, process later. By the time an operator sees an alert, the window to act is often already closed.
Problem 01 - Data Waste
0.5 to 5 GB per useful alert
The actual information needed, a 1 to 10 KB structured alert, is buried inside a massive imagery download. The pipeline pays full bandwidth cost before any decision can be made.
Problem 02 - Delay
30 to 180 minutes to insight
From satellite capture to actionable information takes half an hour at best. In emergencies (wildfires, oil spills, industrial disasters), that is too slow by an order of magnitude.
Problem 03 - Triple Cost
The same problem, paid three times
Operators pay for bandwidth, then for ground processing, then for human triage. Three cost drivers all tied to the same root cause: downloading everything before thinking.
The Concept
Do not send the full image first. Send the decision first.
Move AI inference to the satellite. Run detection onboard. Generate a compact, structured alert. Relay it immediately. Inject it directly into operator systems.
Mission Flow
Seven steps from definition to delivery.
Define mission
Operator specifies what to detect, where, and at what confidence threshold. Mission parameters are uploaded and locked.
Access existing satellites
No new constellation required. The system leverages satellites already in orbit, reducing time-to-deployment from years to weeks.
Detect onboard
AI inference runs at the edge, on the satellite, immediately after image capture. No downlink required before detection.
Convert to operator-ready trigger
Detection output becomes a structured alert: location, timestamp, confidence score, evidence metadata, ready to act on.
Relay
The compact alert is transmitted through an existing relay architecture. Bandwidth used: kilobytes, not gigabytes.
Ensure alert integrity
Alert signature and verification at every step. The operator receives a tamper-evident, traceable trigger.
Inject into operator systems
Direct API or webhook delivery into existing tools. No new platform required on the operator side.
Why It Matters
Use cases
Three scenarios where minutes matter and current pipelines are structurally too slow.
Wildfire
Detect ignition earlier. Alert before raw imagery reaches the ground pipeline. The difference between 3 minutes and 3 hours is measurable in hectares burned.
Alert in <5 min vs 30–180 min today
Oil Spill
Locate leaks before they spread. Notify cleanup teams with a precise structured alert, not a 3 GB image they have to process themselves.
Precise coordinates + confidence, instantly
Industrial Disaster
Trigger emergency response with a structured alert. No waiting in a satellite download queue. No manual triage step between capture and action.
Direct injection into response systems
Impact
Impact
Flagship Use Case
WEDGE - Wildfire Early Alerts
Wildfire detection as the first pilot: the clearest value, and the slowest current pipeline.
WEDGE
Wildfire Early Alert System
Detect ignition earlier. Send a structured alert with location, timestamp, confidence score, and evidence metadata. Trigger operational response before raw imagery has even started downloading through the ground pipeline. The window between ignition and containment is narrow. WEDGE exists to close it.
My Contribution
What I worked on.
- System and product architecture reasoning, from problem framing to delivery chain design
- Edge AI detection logic: onboard inference, model selection, accuracy/bandwidth trade-off
- Alert structure design: metadata schema, integrity verification, delivery format
- Technical demo direction for the Thales Alenia Space context
- Pitch support: framing, scenario articulation, impact metrics
Tech Stack