System Exposure
Why the system matters
Centralized analytics can respond too slowly or consume too much bandwidth when machinery requires immediate anomaly scoring at the asset.
ES-008 / Industrial IoT & Sensing
Predictive Maintenance Edge Node
Shows how local intelligence can shorten detection latency and preserve bandwidth while maintaining controlled model and firmware release paths.
Evidence status: Modular Solutions reference architecture. This record demonstrates delivery capability and is not presented as a completed client engagement.
Open interactive record
Engineering Response
How the architecture responds
Reference edge node combines synchronized sensor acquisition, INT8 anomaly inference, rule-based fallback, signed model bundles, CAN integration, and local evidence capture within a controlled thermal and power envelope.
Technical Evidence
Architecture and validation profile
ComputeJetson Orin Nano
Inference<12ms target at INT8
Power6W operating envelope
InterfacesCAN, Ethernet and USB
SecuritySecure boot + signed model bundle
Program Scope$31,800 USD indicative reference value
Performance SignalINT8 inference <12ms / 6W envelope
Risk DomainMaintenance Decision Risk
Jetson Orin NanoYocto LinuxTensorRTCANPythonSecure Boot