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DCS-YOLO: Defect detection model for new energy vehicle battery …
The future trend in global automobile development is electrification, and the current collector is an essential component of the battery in new energy vehicles. Aiming at the …
An Automatic Defects Detection Scheme for Lithium-ion Battery …
This paper presents an automatic flaw inspection scheme for online real-time detection of the defects on the surface of lithium-ion battery electrode (LIBE) in actual industrial production. …
Intelligent visual detection method and equipment for surface defects ...
The invention relates to the field of online detection of surface defects of lithium ion battery pole pieces, in particular to an intelligent visual detection method and equipment for...
Battery
Our turnkey systems deliver accurate real-time surface inspection and monitoring for applications including lithium-ion battery cell electrodes, separators, solid-state batteries, and fuel cell …
Deep-Learning-Based Lithium Battery Defect Detection via …
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 …
HE-Yolov8n: an innovative and efficient method for detecting …
4 · Specifically, in lithium battery shell defect detection, it achieves an mAP50 of 97.0%, …
(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 …
Battery
Our turnkey systems deliver accurate real-time surface inspection and monitoring for applications including lithium-ion battery cell electrodes, separators, solid-state batteries, and fuel cell components.
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 …
HE-Yolov8n: an innovative and efficient method for detecting defects …
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 …
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 …
Detecting the lithium battery surface defects is a difficult task due to the illumination reflection from the surface. ... Point cloud data acquisition for lithium battery …
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 …
A novel approach for surface defect detection of lithium battery …
Surface defects of lithium batteries seriously affect the product quality and may lead to safety risks. In order to accurately identify the surface defects of lithium battery, a novel …
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 …
Ultrasonic Tomography Study of Metal Defect Detection in Lithium …
Keywords: lithium-ion battery, ultrasonic, non-destructive testing, material property, battery defect, battery safety. Citation: Yi M, Jiang F, Lu L, Hou S, Ren J, Han X and …
(PDF) A Systematic Review of Lithium Battery Defect Detection ...
This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries.
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 …
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 …
An end-to-end Lithium Battery Defect Detection Method Based …
In this paper, AIA DETR model is proposed by adding AIA (attention in attention) module into transformer encoder part, which makes the model pay more attention to correct defect …
Deep-Learning-Based Lithium Battery Defect Detection via …
This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. …
Intelligent visual detection method and equipment for surface …
The invention relates to the field of online detection of surface defects of lithium ion battery pole pieces, in particular to an intelligent visual detection method and equipment for...
Surface defect detection of cylindrical lithium-ion battery by ...
In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of lithium-ion battery …