System Exposure
Why the system matters
Machine-vision products need consistent frame timing, camera recovery, thermal control, and signed inference artifacts within a compact embedded platform.
ES-013 / Secure Edge & Device Platforms
Edge Vision Inference Module
Demonstrates how compute, thermal, camera, and release controls can be treated as one product system instead of disconnected integration tasks.
Evidence status: Modular Solutions reference architecture. This record demonstrates delivery capability and is not presented as a completed client engagement.
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Engineering Response
How the architecture responds
Reference module coordinates camera ingestion, zero-copy preprocessing, TensorRT inference, watchdog recovery, thermal throttling, device telemetry, and signed model deployment with repeatable latency benchmarks.
Technical Evidence
Architecture and validation profile
Cameras2 synchronized MIPI CSI-2 inputs
Throughput60 FPS processing target
Latency45ms end-to-end target
ThermalActive governor + telemetry
ReleaseSigned model and firmware bundle
Program Scope$39,700 USD indicative reference value
Performance Signal60 FPS / 45ms end-to-end target
Risk DomainEdge Performance and Thermal Risk
NVIDIA JetsonGStreamerTensorRTMIPI CSI-2C++Thermal QA