Edge Hardware Pipeline

Edge Vision Relay

Asynchronous camera-to-inference relay with bounded queue backpressure. Engineered for 512MB RAM Raspberry Pi & Kneron-class embedded systems.

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DEVICE RESOURCE BUDGET (Raspberry Pi 4 / 2GB) STATUS: NORMAL
85 MB
RAM Usage
1.2%
Idle CPU
256
Max Queue Cap
< 5ms
Ingest Latency

⚡ Bounded Queue Backpressure

Explicit drop_newest (429 Too Many Requests) and drop_oldest policies prevent out-of-memory crashes on resource-constrained devices.

🎯 Pluggable Inference Adapters

Decoupled capture and inference abstractions allow hot-swapping between YOLO v8 ONNX models and deterministic fixture adapters.

📶 Resilient Offline Forwarding

Buffers detection envelopes during connectivity outages and drains to cloud ingestion APIs automatically upon network restoration.