Sensor fusion analytics for decision support
Anonymised engagement: multi-sensor fusion and threat-scoring analytics deployed on an air-gapped edge stack for a defence-adjacent R&D programme.
Stack: Python · PyTorch · ROS 2 · Docker · On-prem GPU · Custom ingestion
Challenge
Multiple sensor modalities with strict latency and security requirements — no cloud dependency, full audit trail required.
Solution
TechieYan built an on-prem inference stack, sensor ingestion layer, and fusion models with documented eval reports and source-open delivery for client security review.
Outcomes
- Air-gapped deployment with signed firmware updates
- Fusion pipeline processing 8 sensor streams in under 150ms
- Audit-ready model cards and data lineage documentation
- NDA-aligned IP assignment to client
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