Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots
High quality, safe, and reliable batteries are essential for widespread adoption of electric
vehicles. Current Li-ion battery pack manufacturing processes rely on manual inspections to …
vehicles. Current Li-ion battery pack manufacturing processes rely on manual inspections to …
Attention classification-and-segmentation network for micro-crack anomaly detection of photovoltaic module cells
Micro-crack anomaly detection is a crucial part of the quality inspection of photovoltaic (PV)
module cells. However, due to the complex background and the lack of sufficient anomaly …
module cells. However, due to the complex background and the lack of sufficient anomaly …
A one-stage approach for surface anomaly detection with background suppression strategies
G Liu, N Yang, L Guo, S Guo, Z Chen - Sensors, 2020 - mdpi.com
We explore a one-stage method for surface anomaly detection in industrial scenarios. On
one side, encoder-decoder segmentation network is constructed to capture small targets as …
one side, encoder-decoder segmentation network is constructed to capture small targets as …
A double-branch surface detection system for armatures in vibration motors with miniature volume based on ResNet-101 and FPN
In this paper, a complete system based on computer vision and deep learning is proposed
for surface inspection of the armatures in a vibration motor with miniature volume. A device …
for surface inspection of the armatures in a vibration motor with miniature volume. A device …
Convolutional Neural Networks and Deep Learning Techniques for Glass Surface Defect Inspection
Convolutional neural networks and their variants have revolutionized the field of image
processing, allowing to find solutions to various types of problems in automatic visual …
processing, allowing to find solutions to various types of problems in automatic visual …
Welding joints inspection via residual attention network
Welding joints inspection for surface quality evaluation remains a lot of challenging work
because of the difficulty in extracting suitable features. We propose a novel residual …
because of the difficulty in extracting suitable features. We propose a novel residual …