Quality assurance (QA) plays a crucial role in manufacturing to ensure that products meet
their specifications. However, manual QA processes are costly and time-consuming, thereby …

In agriculture farming business, plant diseases are one of the reasons for the financial
deficits around the globe. It is the fundamental factor, as it causes significant abatement in …

In order to improve the efficiency and accuracy of manual vehicle paint defect detection, the
computer vision technology and deep learning methods is used to achieve automatic …

Detecting the surface defects of complex components exhibiting different visual properties in
positions, shapes, number and sizes is a challenging problem. In this paper a novel …

As a popular technology in the field of artificial intelligence, computer vision is gradually
adapting to the needs of convenience for human beings, improving production efficiency …

汽车装配件的缺陷检测是汽车制造流程中的重要环节, 不仅可以提升产品质量, 降低退货率,
避免成本浪费, 还可以为驾驶人员提供安全保障. 最早的缺陷检测依靠专家经验, 准确度低 …

In the field of histopathology, it has been observed that most images are of poor quality as a
result of inadequate luminance and contrast. The first step in identifying and analyzing them …

Automotive paint defect detection plays a crucial role in the automotive production process.
Current research on visual defect detection methods is mainly based on supervised …

Defect detection and quality assurance are traditionally crucial in the manufacturing sector,
since it has the potential to reduce scrap rates, production time, energy consumption, and …

This paper suggests an optimization strategy to train a CNN deep-learning network, which
successfully recognizing working status on the HMI panels of CNC machines. To verify the …