Multi-camera intelligence.

Efficient enough to run anywhere.

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01 // Compression Engine

INT8 Quantization

Kenosis-quantized INT8 models verified against COCO ground truth — 93.6% of FP32 mAP retained at a fraction of the compute. Measured detection accuracy, not proxy metrics.

02 // Throughput

Lock-Free Pipeline

SPSC ring buffers paired with zero-copy frame transport. Strict per-camera thread isolation with zero dropped frames at real-time tiers — counter-verified by per-ring telemetry, not assumed.

03 // Reliability

Memory-Safe Core

Built on a memory-safe Native Rust Pipeline. We orchestrate industry-standard execution engines without the Python overhead, container bloat, or unpredictable runtime pauses.

04 // Routing

Hardware Acceleration

Intelligent execution provider routing across CPU, CUDA, or DirectML layers. Maximizing throughput regardless of the underlying host environment.

05 // Observability

Production Telemetry

Prometheus and REST monitoring with per-stage p50/p95/p99 latency histograms, per-ring-buffer fill and drop accounting, and overload alerting. Every performance claim on this page is reproducible from the daemon's own counters.

Measured — dual-camera headless daemon, re-validated 2026-07-13

30 fps
per camera, two cameras, sustained
22 ms
inference average · 29 ms p95
~120 MB
total working set
2.6 cores
total CPU — 2.6× the core efficiency of FP32

2× 640×480@30 webcams · PP-YOLOE+ S INT8 @320 · Intel i5-13420H · ONNX Runtime CPU · ≥115 s steady-state windows, zero frame drops