Battery solder joint detection

A reliable solder joint inspection method based on a light-weight …

In this paper, a reliable point cloud learning based method is implemented for high-speed solder joint shape defect detection. First, a light-weight neural network …

Solder Joint Recognition Using Mask R-CNN Method

This article proposes a novel solder joint recognition method based on the state-of-the-art Mask Region-convolutional neural network (R-CNN) deep learning method. Traditional classification methods, such as neural networks and statistical methods, can only classify defect type, and the template-matching method can only match the position of the …

Robust vision detection of pipeline solder joints

This paper aims to address the challenges of detecting small targets and complex environments by proposing a robust visual detection method for pipeline solder joints. The method is characterized by its simplicity, cost-effectiveness and ease of implementation.,A robust visual detection method based on the characteristics of …

Printed circuit board solder joint quality inspection …

Solder joint quality inspection is a crucial step in the qualification inspection of printed circuit board (PCB) components, and efficient and accurate inspection methods will greatly improve its …

Intelligent Pseudo Solder Detection in PCB Using Laser-Pulsed …

Solder joints of printed circuit board provide the electrical and mechanical connections between electronic component and substrate. A pseudo solder inside the solder joint can reduce its electrical conductivity and often leads to crack initiation and propagation in service. The pseudo solder is a threat to the normal operation of the …

How to Solder Battery Tabs

Now that you have gathered all the materials, it''s time to move on to the next step. Battery tab maintenance is essential to ensure a good solder joint. Clean the battery tabs thoroughly using a clean cloth and rubbing alcohol. Troubleshooting soldering issues …

Extreme Learning Machine Based Defect Detection for Solder Joints

The experimental results demonstrate that the proposed defect detection method is more efficient than neural network, support vector machines, common extreme learning machine and convolutional neural network-based methods, and it has real-time performance to meet the equirement of the actual production line. The quality of solder …

Soldering defect detection in automatic optical inspection

detection. B. Existing solder joint classification methods The existing classification methods for solder joints can be categorized into two groups based on the types of components they inspect. They are solder joint classification for non-package [19]-[22].

Anomaly Detection for Solder Joints Using $β$-VAE

Anomaly Detection for Solder Joints Using $β$-VAE 24 Apr 2021 · Furkan Ulger, Seniha Esen Yuksel, Atila Yilmaz · Edit soci ...

An Improved YOLOv5 Model for Detecting Laser Welding Defects of Lithium Battery …

of lithium battery connector solder joint detection methods. Min-jae Jung et al. [16] pro-posed an automatic weld defect detection method based on the Faster R-CNN algorithm to address the problem ...

PADS: Predictive Anomaly Detection for SMT Solder Joints Using …

This research proposes a predictive anomaly detection (AD) framework for solder joints. In surface mount technology (SMT), anomalous solder joints reduce the reliability of printed circuit boards (PCBs), which raises reworking expenses for PCB assembly lines. Therefore, predictive AD is essential to prevent solder joints with …

YOLO algorithm with hybrid attention feature pyramid network for solder joint defect detection …

YOLO ALGORITHM WITH HYBRID ATTENTION FEATURE PYRAMID NETWORK FOR SOLDER JOINT DEFECT DETECTION LI ANG a,b, SITI KHATIJAH NOR ABDU RAHIM a, RASEEDA HAMZAH∗ c, RAIHAH AMINUDDIN c, AND GAO YOUSHENG a,b a College of Computing, Informatics and Mathematics, Universiti Teknologi MARA (UiTM), Shah

What is a battery CCD solder point detection machine?

The battery CCD solder point detection machine is a high -precision detection device. It uses advanced CCD technology to detect quickly and accurately for the battery wattic joints. It can detect parameters such as the position, size, shape, and depth of the battery, and can find the defects of the solder joints, such as disconnection, …

Deep learning based solder joint defect detection on industrial …

Around 85% of solder joints are normal, but also sent to the specialists for further inspection. In this work, the main problem is to detect true defect solder joints …

Cold solder joints – Unraveling the hazards, causes, detection, …

6 · Imagine a world without technology, where wires hang loose and components fail to connect. The culprit? Cold solder joints—a notorious adversary for electronic enthusiasts and professionals alike. So, fasten your seatbelt and join us on this journey to uncover the secrets of cold solder joints!

Research on PCB solder joint defect detection method based on …

Printed circuit boards (PCBs) are an essential component of electronic products, and detecting solder joint defects is critical in the PCB production process. Machine vision …

Development of an Accurate and Automated Quality …

The quality inspection of solder joints on aviation plugs is extremely important in modern manufacturing industries. However, this task is still mostly performed by skilled workers after welding operations, …

Soldering defect detection in automatic optical inspection

This paper proposes an integrated detection framework of solder joint defects in the context of Automatic Optical Inspection (AOI) of Printed Circuit Boards (PCBs). X. Hao, W. Li, Z. Sun, S. Zhu, S. Yan, Z. Zhao, Detection of …

Joining Lithium-Ion Battery Tabs Using Solder-Reinforced …

Reliable and robust tab joints in pouch cells are key to the functional reliability and durability of lithium-ion batteries. In this study, a novel solder-reinforced adhesive (SRA) bonding technology is applied to lithium-ion battery tab joining, and its feasibility is explored by the application of simplified specimens. The three main …

Development of an Accurate and Automated Quality Inspection System for Solder Joints …

Appl. Sci. 2023, 13, 5290 4 of 19 Meanwhile, the detecting process is implemented through two phases: ROI extraction and quality assessment. Firstly, a fine-tuned YOLOv5 model is used to extract the ROI within the entire captured image, i.e., the row of solder

PCB plug-in solder joint defect detection method based on …

We conduct a study on five major types of solder joint defects that seriously impact circuit performance: (a) Less tin, referring to insufficient solder which …

Improved THT Solder Joint in PCB Defect Detection Model Based …

Detection of solder joint defects on printed circuit boards is an important means of improving the production quality of printed circuit boards. In this study, improvements are made to the YOLOv8 model by restructuring the neck network architecture of YOLOv8s through the BiFPN network. This modification reduces the number of parameters of the …

CSSD-YOLO: A Modified YOLOv5 Method for Solder Joint Defect Detection

Surface Mount Technology (SMT) pin solder joint defects are hard to detect since the joints are smaller and denser and have high similarity between defect samples and standard samples in solder joint images. We propose an improved YOLOv5 defect detection ...

What is a Cold Solder Joint? Everything You Need to Know

Visual Inspection: This straightforward approach involves looking for joints that appear dull, grainy, or rough, unlike the shiny, smooth appearance of a good solder joint. X-ray Inspection: For more complex assemblies where joints are not visible externally, X-ray inspection provides a non-destructive way to examine solder joints.

Applied Sciences | Free Full-Text | Solder Joint Defect …

Aiming at the low efficiency and accuracy of traditional PCB solder joint detection, Wang et al. proposed a PCB solder joint detection method based on automatic threshold segmentation algorithm …

ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection

Tubular solder joint detection is an important and challenging issue in the industry, due to the illegible objects, rarely collected datasets and requiring high-precision and real-time performance for positioning and angle estimation. In this article, we propose an Attention integrated and Cross-spatial feature fused Rotation Network (ACR-Net) for tubular solder …

CN206074465U

A kind of battery based on machine vision and connection sheet solder joint detection means, which is characterized by it and is made up of controller, vision collecting equipment and transporter, and vision collecting equipment includes light source module, optical ...

Failures of electronic devices: solder joints failure modes, causes and detection …

In electrical components, there are numerous number of interconnects, solder joints, which mainly allow the electrical current to flow smoothly between the PCB and the integrated circuit (IC) component. Fig. 1.2 shows an example of a ball grid array (BGA) solder joint cross-section [1]..

BV-Net: Bin-based Vector-predicted Network for tubular solder joint detection …

PCB solder joint detection in a visual way mainly is applied to the quality inspection of solder joint. It is essentially a classification task of different defect types, which represent the different types of connection between …

Soldering defect detection in automatic optical inspection

This paper proposes an integrated detection framework of solder joint defects in the context of Automatic Optical Inspection (AOI) of Printed Circuit Boards …

SolderNet: Towards trustworthy visual inspection of solder joints …

Example images of solder joint defects from the dataset examined in this study: (A) fractured joint, (B) cold joint, (C) burns, (D) flux residue, (E) poor wetting, and (F) …

Improved THT Solder Joint in PCB Defect Detection Model Based …

Detection of solder joint defects on printed circuit boards is an important means of improving the production quality of printed circuit boards. In this study, improvements are …

solder joint--| Reverso Context

Reverso Context: Battery (pole piece solder joint defect detection, batteries wound is detected),-"solder joint",。

Applied Sciences | Free Full-Text | An Improved …

Focus on the requirement for detecting laser welding defects of lithium battery pole, a new model based on the improved YOLOv5 algorithm was proposed in this paper. First, all the 3 × 3 …

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