MODULE / SV-AI-CORE v4.2
Predictive jam-detection, 14 seconds before fault
A vision-based anomaly model inspects every parcel at the induction zone and tracks motor current signatures at each divert actuator. When the model detects a divergence beyond tolerance, it raises a soft-stop event and routes the parcel to a recirculation lane — typically 14 seconds before a hard jam would halt the line.
- Vision Top-mount line-scan at every induction
- Current Per-actuator signature baseline
- Action Soft-stop + recirculate, not hard-stop
- Audit Full event log retained 36 months
INTEGRATIONS / VERIFIED ONLY
Verified WMS and WCS integrations — listed, not implied
We do not claim compatibility with every platform on the market. The integrations below are certified against the named API versions in our Sortons Integration Lab in Atlanta, with a published test report available on request.
WMS
Manhattan Active WM 2019.4+ · Blue Yonder WMS 2023.1+ · Körber WMS 21.2+ · SAP EWM 2022 · Oracle WMS Cloud 24A
WCS
Dematic iQ · Honeywell Momentum · TGW CIF · Swisslog SynQ · Vanderlande SCADA
Protocol
REST/JSON · MQTT 5.0 · OPC-UA over TLS · CSV batch (legacy)
SLA
99.95% cloud availability · 4-hour P1 response · 89 controls engineers on call