Improvement of small objects detection in thermal images
Thermal images are widely used for various applications such as safety, surveillance, and Advanced Driver Assistance Systems (ADAS). However, these images typically have low contrast, blurred aspect, and low resolution, making it difficult to detect ...
Improving the competitiveness of aircraft manufacturing automated processes by a deep neural network
The accuracy and reliability requirements in aerospace manufacturing processes are some of the most demanding in industry. One of the first steps is detection and precise measurement using artificial vision models to accurately process the part. However, ...
Connected system for monitoring electrical power transformers using thermal imaging
- F. Segovia,
- J. Ramírez,
- D. Salas-Gonzalez,
- I.A. Illán,
- F.J. Martinez-Murcia,
- J. Rodriguez-Rivero,
- F.J. Leiva,
- C. Gaitan,
- J.M. Górriz
The stable supply of electricity is essential for the industrial activity and economic development as well as for human welfare. For this reason, electrical system devices are equipped with monitoring systems that facilitate their management and ensure ...
Predictor-corrector models for lightweight massive machine-type communications in Industry 4.0
Future Industry 4.0 scenarios are characterized by seamless integration between computational and physical processes. To achieve this objective, dense platforms made of small sensing nodes and other resource constraint devices are ubiquitously deployed. ...
A measured data correlation-based strain estimation technique for building structures using convolutional neural network
A machine learning-based strain estimation method for structural members in a building is presented The relationship between the strain responses of structural members is determined using a convolutional neural network (CNN) For accurate strain ...
