Adfors needed to automate quality control and reduce the defect rate on an innovative textile production line, with operators able to step in immediately.
A dedicated AI model, trained on images labeled by the business teams, runs on a Newboot edge computer connected to 4 industrial cameras. Detections are triggered over OPC-UA and shown to operators in the Ignition MES.
12 defect types detected in real time, €200k saved. First deployed in Neustadt (Germany), replicated in Buggenhout (Belgium) and in Mexico, with rollout to 36 more sites under way.
See the solution →Optimizing the energy consumed during the heat-up of glass furnaces.
Newboot Edge streams PLC data and furnace context to the cloud. A digital twin and AI models compute the optimal heat-up from composition and temperature, and the recommendation goes back to operators.
6 to 12% energy savings, and rollout to 5 more sites.
See the solution →Digitizing a factory with heterogeneous sensors, PLCs and an MES, and sending everything securely to the cloud.
The Newboot edge gateway connects CO2, temperature, humidity, level (mini lidar), gas flow, encoder, current and power sensors over Modbus, serial and pulse inputs, alongside the MES and PLCs.
Data pushed securely to Azure data lakes, Power BI and Grafana dashboards, using Newboot’s connectivity catalog covering 95% of standard protocols.
See the solution →Newboot Edge provides real-time telemetry to the cloud and keeps a digital twin of the process in sync with the MES context. The virtualized factory delivers live metrics, alerts and 3D simulation, and multivariate models recommend process improvements.
Consumption is digitized and sent to the cloud with its manufacturing context. AI models estimate stock consumption from daily use and forecast stock, so consumables are optimized and productivity improves.