Equipment Monitoring
- Steel-mill conveyor vibration monitoring
- Steel-mill temperature and humidity monitoring
- Development and delivery of pulley monitoring sensors
- Excavator monitoring system PoC
Algorithm Development Case Studies
Discover and predict anomalies from field data
We develop algorithms for Edge AI diagnostics, product tracking, quality analysis and failure prediction.
Case Studies
Sensors & Anomaly Detection
- In-house sensor integration with anomaly-detection algorithms
- Sensor data collection and system integration services
- Delivery of sewing-machine monitoring sensors
Energy & Plant
- Fuel-silo clogging detection solution for a power plant
- In-house IoT sensor for gas-pipeline impact and leak detection
Defense, Weapons Systems & Information Security
- CBM+ intelligent sensors for weapons systems
- Weapons-system monitoring and condition diagnostics
- Software anti-tampering technology and testbed
Smart Factory & DX/AX
- NeuroForge M.AX deployment in manufacturing processes
- DX·AX for inspection equipment on an automotive relay assembly line
- AI-based fastening-curve analysis for smart-factory quality prediction
- Non-intrusive PLC integration for real-time data collection in a paint shop
Mobility & Vehicle Diagnostics
- NVH sensors for vehicle-health diagnostic devices
- Vehicle fault-diagnosis sensors
- Turbocharger noise and fault diagnosis model
- EV powertrain anomaly-diagnosis PoC
R&D
- Smart electronic compass
- Battery-pack condition monitoring
- Autonomous-vehicle wheel safety sensor
- Vehicle-health smart sensor
- Predictive-maintenance IoT sensor
- Edge AI system-in-package (SiP)
- IoT sensor module
- NVH vibration and noise sensor
- Unsupervised-learning predictive maintenance
- IoT impact sensor for buried pipelines
- Booster-pump failure prediction solution
- Vision Zero transportation environment
- Support for hiring experienced R&D professionals