HE-Yolov8n: an innovative and efficient method for detecting …
4 · Specifically, in lithium battery shell defect detection, it achieves an mAP50 of 97.0%, representing a 4.6% improvement over Yolov8n. Its parameters and FLOPs are reduced by …
3D Point Cloud-Based Lithium Battery Surface Defects Detection …
promising solution for detecting surface defects based on their roughness and height. This paper proposes an integrated approach to address the problem of lithium battery surface defect …
Lithium battery surface defect detection based on the YOLOv3 detection …
With the continuous development of science and technology, cylindrical lithium batteries, as new energy batteries, are widely used in many fields. In the production process of …
Lithium battery surface defect detection based on the YOLOv3 detection …
In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-Nearest Neighbor (KNN) and …
Surface Defects Detection and Identification of Lithium Battery …
The experimental results show that the proposed method in this paper can effectively detect surface multiple types defects of lithium battery pole piece, and the average …
Lithium-ion Battery Thermal Safety by Early Internal Detection ...
RTD sensor embedded lithium-ion coin cell for electrode temperature measurement. For the CR2032 coin cells employed in this work, the RTD was incorporated …
Research on detection algorithm of lithium battery surface …
In this paper, the visual detection algorithm is studied to detect the defects such as pits, rust marks and broken skin on the surface of lithium battery, specifically to design the …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. …
An end-to-end Lithium Battery Defect Detection Method Based …
Rather than the noise information on the image, so as to improve the detection ability of lithium battery surface defects. Experiments show that AIA DETR model can well detect the defect …
3D Point Cloud-Based Lithium Battery Surface Defects Detection …
A 3D visual measurement system is a promising solution for detecting …
3D Point Cloud-Based Lithium Battery Surface Defects Detection …
In our work, the experiments show that the feature-based technique precisely detects the affected surface of the battery. AB - Detecting the lithium battery surface defects is a difficult...
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. With a scarcity of …
(PDF) A novel approach for surface defect detection of …
In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-nearest neighbor (KNN) and Euclidean clustering...
Surface Defects Detection and Identification of Lithium Battery …
The experimental results show that the proposed method in this paper can …
3D Point Cloud-Based Lithium Battery Surface Defects Detection …
A 3D visual measurement system is a promising solution for detecting surface defects based on their roughness and height. This paper proposes an integrated approach to …
A novel approach for surface defect detection of lithium battery …
In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-nearest neighbor (KNN) and …
(PDF) A novel approach for surface defect detection of lithium battery ...
In order to accurately identify the surface defects of lithium battery, a novel defect detection approach is proposed based on improved K-nearest neighbor (KNN) and …
A YOLOv8-Based Approach for Real-Time Lithium-Ion Battery
Targeting the issue that the traditional target detection method has a high missing rate of minor target defects in the lithium battery electrode defect detection, this paper …
Lithium battery surface defect detection based on the YOLOv3 detection …
The experimental results show that the mean average precision (mAP) value of the detection algorithm on the lithium battery validation dataset reaches 94% and the detection …
Surface Defects Detection and Identification of Lithium Battery …
In order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface defects of lithium battery pole …
Defects Detection of Lithium-Ion Battery Electrode …
Aiming to address the problems of uneven brightness and small defects of low contrast on the surface of lithium-ion battery electrode (LIBE) coatings, this study proposes a defect detection method that combines …