A neuromorphic perception layer for drone-based infrastructure inspection. Runs on CPU.
From raw frames to crack events in under 5ms. No cloud lookups. No GPU warm-up.
Accept frames via RTSP, RTMP, or direct push API. The engine ingests at up to 30fps from drone camera feeds or pre-recorded video streams.
Frame deltas are converted into spike trains using biologically-inspired encoding. Regions of structural interest generate high-frequency spikes; flat surfaces are suppressed.
Six parallel STDP lanes process the spike stream independently. Each lane fires on a distinct crack morphology — hairline, spall, corrosion, delamination. Scores fuse into a single risk scalar.
Every frame emits a structured FRAME_LOG event: crack score, risk score, ROI bounding box, and lane breakdown. Consumed via C++ callback, Python binding, or WebSocket stream.
YOLO and UNet need a GPU and a clean frame. Infrastructure drones don't have either. Neuromorphic spike-frequency encoding was designed for exactly this constraint.
| What matters | YOLO / UNet | AuraSense Neuromorphic |
|---|---|---|
| P95 detection latency | 15–80 ms | <5 ms |
| Runs without GPU | ✗ GPU required | ✓ CPU-only |
| Power draw (embedded) | 15–45 W | <8 W — longer flight time |
| Frame compression | None — raw pixels streamed | 17× via spike encoding |
| Crack F1 (in-flight conditions) | ~76% | >89% |
| Deployment target | Cloud or edge GPU server | Drone SBC, no infra changes |
| Adapts in the field | Retrain + redeploy | STDP live weight updates |
Incoming drone frames are converted into spike-frequency representations that capture structural anomalies — hairline cracks, spalls, delamination — with dramatically reduced data volume. The codec preserves the geometry needed for scoring while discarding perceptually redundant pixels, enabling real-time perception at under 8 W on embedded hardware.
The left half shows the raw drone feed. The right half shows the neuromorphic engine in real time — spike-frequency scoring, crack ROI overlays, and risk scores on every frame.
AuraSense is an SDK provider. We integrate with your platform — you own the product experience.
Add real-time crack detection to your inspection workflow without building the perception layer yourself. Ship faster. Differentiate on the AI.
Talk to us →Embed the AuraSense SDK directly into your onboard compute stack. We provide binary + C++ headers for Linux/ARM. Integration in days, not months.
Discuss OEM terms →Commission a pilot inspection on your bridge, building, or runway. Get structured crack event data, not just video. Own the data and the workflow.
Request a pilot →AuraSense is a Hong Kong-based deep-tech startup building the neuromorphic perception engine for drone-based infrastructure inspection — the part that converts raw frames into crack decisions in real time, on-device.
We are an SDK provider, not an inspection service. Our goal: make real-time neuromorphic crack detection as easy to integrate as a camera driver. You bring the drone. We bring the brain.
STDP-based spike encoding, not fine-tuned CNNs.
C++ engine + Python bindings. You integrate; you own.
P95 <5ms. Hard latency constraint, not a soft goal.
No telemetry. No cloud call-home. All inference stays local.
All plans include the full SFSVC SDK, C++/Python bindings, and STDP runtime. No GPU. No cloud fees. No lock-in.
For individual engineers and makers evaluating the SDK. One deployment seat.
For operators running up to 3 drones. Full integration support included.
Unlimited fleets, white-label options, SLA agreements, and on-site integration.
AuraSense integrates with the platforms and distribution networks that drone operators already use.
AuraSense runs on DJI enterprise hardware. Our SDK integrates directly with DJI's onboard compute stack — no additional hardware required.
SuperKids Toys provides regional distribution reach and channel access across the consumer and professional drone market, accelerating AuraSense's hardware partnerships.
AuraSense is part of AWS Activate, giving us access to cloud credits, technical support, and the AWS startup ecosystem to scale our inference pipeline and data infrastructure.
AuraSense is actively growing both our engineering and business teams. If you care about hard problems in real-time AI, neuromorphic systems, or deep-tech go-to-market — we want to hear from you.
We build real-time perception on bare metal. If you've worked on latency-critical C++, STDP-based learning, or edge computer vision, you'll fit right in.
We need people who understand the drone inspection market and can open doors with OEMs, operators, and civil engineering firms across Asia and beyond.
Based in Hong Kong. Remote-friendly for the right people.
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