Computer vision on x-ray data in industrial production and security applications: A comprehensive survey
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …
condition of different organs, and in recent years, it has become more common in other …
Automatic anomaly detection from X-ray images based on autoencoders
Radiography is a common imaging method for non-destructive object inspection. Processing
radiographs to detect defects is, however, challenging, especially if the defect type and …
radiographs to detect defects is, however, challenging, especially if the defect type and …
Ultra-Lightweight Fast Anomaly Detectors for Industrial Applications
M Kocon, M Malesa, J Rapcewicz - Sensors, 2023 - mdpi.com
Quality inspection in the pharmaceutical and food industry is crucial to ensure that products
are safe for the customers. Among the properties that are controlled in the production …
are safe for the customers. Among the properties that are controlled in the production …
Industrial x-ray image analysis with deep neural networks robust to unexpected input data
E Lindgren, C Zach - Metals, 2022 - mdpi.com
X-ray inspection is often an essential part of quality control within quality critical
manufacturing industries. Within such industries, X-ray image interpretation is resource …
manufacturing industries. Within such industries, X-ray image interpretation is resource …
Mæidm: Multi-scale anomaly embedding inpainting and discrimination for surface anomaly detection
S Sheng, J **g, X Jiao, Y Wang, Z Dong - Machine Vision and …, 2023 - Springer
The detection of anomalous structures in natural image data plays a crucial role in
numerous tasks in the field of computer vision. Methods based on image reconstruction or …
numerous tasks in the field of computer vision. Methods based on image reconstruction or …
Non-contact detection of delamination in composite laminates coated with a mechanoluminescent sensor using convolutional AutoEncoder
Delamination is a typical defect of carbon fiber-reinforced composite laminates. Detecting
delamination is very important in the performance of laminated composite structures …
delamination is very important in the performance of laminated composite structures …
The survey of industrial anomaly detection for industry 5.0
L Wen, Y Zhang, W Hu, X Li - International Journal of Computer …, 2024 - Taylor & Francis
With the impetus of Industry 5.0, smart manufacturing would witness the significant
advancement of automation and digital transformation. Even though Deep Learning (DL) …
advancement of automation and digital transformation. Even though Deep Learning (DL) …
Weld defect cascaded detection model based on bidirectional multi-scale feature fusion and shape pre-classification
H Yang, H Wang, H Li, X Song - ISIJ International, 2022 - jstage.jst.go.jp
Object detection algorithms like Faster R-CNN have been widely used in the field of
industrial defect detection. For weld defect detection, its detection accuracy for some small …
industrial defect detection. For weld defect detection, its detection accuracy for some small …
Innovative inspection device for investment casting foundries
It is evident that inspection is a critical step in investment casting and that there is a growing
demand for skilled manpower and domain experts in this field. The use of advanced …
demand for skilled manpower and domain experts in this field. The use of advanced …
Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow
Increasing digitalization has revolutionized the manufacturing industry. Advances in sensor
systems and artificial intelligence enable more efficient data collection and analysis. In this …
systems and artificial intelligence enable more efficient data collection and analysis. In this …