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Sensor error detection
- Project
- 19045 STACK
- Type
- New service
- Description
This result is a sensor anomaly detection system for contextual and formal errors.
- Contact
- Hyunwoo Jung, Youngki Lee
- youngkilee@snu.ac.kr
- Research area(s)
- Sensor Anomaly Detection
- Technical features
Anomaly detection, Supervised outlier detection
- Integration constraints
Use of an IoT system with multiple sensors and a small amount of anomaly data from the system
- Targeted customer(s)
IoT System Maintainers
- Conditions for reuse
None
- Confidentiality
- Public
- Publication date
- 06-12-2022
- Involved partners
- Seoul National University (KOR)