EU research project developing AI-based demonstrators for edge processing in automotive, semiconductors, mechanical engineering, food & beverage, and transport
AI4DI (Infineon Technologies AG, Projektkoordination)
Neubiberg (Am Campeon 1-15) · Munich (postal address, 81726)New on Amplifa
About AI4DI
AI4DI (Artificial Intelligence for Digitising Industry) was an EU-funded research project with the goal of bringing artificial intelligence from the cloud to the edge and advancing Europe in the field of Silicon-Born-AI. The project was coordinated by Infineon Technologies AG, headquartered in Neubiberg, and comprises around 20 demonstrators along the entire supply chain of the electronics industry. The developed reference solutions cover, among others, predictive maintenance with IIoT sensors (vibration, current, sound, temperature), optimization of inbound logistics and assembly processes via computer vision, machine learning for wafer inspection and fault classification in semiconductors, as well as AI assistants for FMEA analyses. Further demonstrators concern autonomous mobile robots, reconfigurable battery systems for second-life applications, intelligent sensor technology for woodworking machinery environments, quality control in champagne production, and AI-based fleet management for multimodal transport. The results are available as reference demonstrators for industrial deployment.
- Site
- Neubiberg
- Processes
- Assembly process optimization (AI-based, computer vision, ergonomics assessment), Predictive health-monitoring system for machines on the level of a digital twin (e-motor unit), Smart Robot - multimodal cognitive sensor platform for industrial robots (mm-wave radar, ROS), Wood machinery with perception of the surrounding environment (ultrasonic sensor matrix,, Machine vision system in the wafer inspection production line (CNN-based, Quality control system (grape quality classification via image recognition / semantic, Automatic inspection of SEM cross-section images for technology verification (semiconductor, Inbound logistic process optimization
- Materials
- AI/ML methods (edge), Computer Vision, IIoT sensors
- Certificates
- AI-based optical inspection, Predictive Health-Monitoring
- Industries
- Automotive, Semiconductors, Industrial Machinery, Food and Beverage, Transportation/Mobility
- 01
Data acquisition via IIoT sensors
- 02
AI processing on edge devices
- 03
Anomaly and fault detection
- 04
Process optimization and inspection systems
Processes and Technologies
AI/ML methods (edge)
Neural networks, CNNs and reinforcement learning are deployed on edge platforms including FPGA acceleration.
Computer Vision
Image-based quality control, wafer inspection and assembly monitoring using CNNs and semantic segmentation.
IIoT sensors
Vibration, current, sound and temperature sensors provide real-time data for predictive maintenance models.
Locations
Neubiberg
DEProject coordination (Infineon Technologies AG, Am Campeon 1-15)
Inside the production
Industries
Processes & technical limits
| Processes | Tolerance | Max. part | Weight | Lot size | Materials |
|---|---|---|---|---|---|
| Assembly process optimization (AI-based, computer vision, ergonomics assessment)Assembly | – | – | – | – | – |
| Predictive health-monitoring system for machines on the level of a digital twin (e-motor unit)Engineering | – | – | – | – | – |
| Smart Robot - multimodal cognitive sensor platform for industrial robots (mm-wave radar, ROS)Assembly | – | – | – | – | – |
| Wood machinery with perception of the surrounding environment (ultrasonic sensor matrix,Engineering | – | – | – | – | Wood |
| Machine vision system in the wafer inspection production line (CNN-basedTesting | – | – | – | – | Semiconductor wafer |
| Quality control system (grape quality classification via image recognition / semanticTesting | – | – | – | – | – |
| Automatic inspection of SEM cross-section images for technology verification (semiconductorTesting | – | – | – | – | Semiconductors |
| Inbound logistic process optimizationEngineering | – | – | – | – | – |
| Autonomous reconfigurable battery system (second-life EV batteries, SoC/SoH prediction)Engineering | – | – | – | – | – |
| Virtual AI training platform for robot learning (reinforcement learning, simulation)Engineering | – | – | – | – | – |
| BLE localization in asset trackingEngineering | – | – | – | – | – |
| Autonomous mobile robotic agent (autonomous mobile robot for intra-company material transport)Assembly | – | – | – | – | – |
| AI-based fleet management / MaaS fleet optimisation toolEngineering | – | – | – | – | – |
| Environmental monitoring system (vineyards/wine cellar)Engineering | – | – | – | – | – |
| Production process optimisation (soybean processing, IIoT sensors for temperature/humidity)Engineering | – | – | – | – | Soybeans |
| Predictive maintenance (IIoT sensors: vibration, current, sound, temperature)Engineering | – | – | – | – | – |
| Autonomous environment-aware robot (vineyard robot for yield estimation/disease detection)Assembly | – | – | – | – | – |
| AI based FMEA AssistantEngineering | – | – | – | – | – |
| Neural network for predicting critical 3D dimensions in MEMS inertial sensorsTesting | – | – | – | – | MEMS |
| Wafer fault classification (FPGA-based real-time classification)Testing | – | – | – | – | Semiconductor wafer |
| Optical outgoing inspection (anomaly detection with neural networks)Testing | – | – | – | – | – |
| Digitizing product definition (evaluation of product definitions, MOSFETs, gate drivers, sensors)Engineering | – | – | – | – | – |
| Anomaly detection @ wirebonding processTesting | – | – | – | – | – |
Additional services
Reference customers
Quality and Reliability
Several demonstrators are dedicated to quality control: optical inspection with anomaly detection, CNN-based wafer inspection, FPGA-based real-time wafer classification, and automated SEM image analysis for technology verification and graphite target recognition in production.
| Evidence | Neubiberg |
|---|---|
| AI-based optical inspection | |
| Predictive Health-Monitoring |
Project History
- ca. 2019–202
EU research project AI4DI with the mission of bringing AI from the cloud to the edge and making Europe the leader in Silicon-Born-AI; demonstrations in automotive, semiconductors, mechanical engineering, food & beverage, and transport