Cap-Eye-citor: A Machine Vision Inference Approach of Capacitor
Circuit boards are one of the key elements of the electronics industry. Because of its demand for portable electronic goods, the production of circuit boards has become more significant. The
Capacitor Detection in PCB Using YOLO Algorithm | Article Information
Article "Capacitor Detection in PCB Using YOLO Algorithm" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST"). It provides free access to secondary information on researchers, articles, patents, etc., in science and technology, medicine and pharmacy.
evehr-vn/capacitor-jailbreak-root-detection
Contribute to evehr-vn/capacitor-jailbreak-root-detection development by creating an account on GitHub.
Research on Power Capacitor Insulation State Detection Based on
Few effective insulation state detection methods for power capacitor can be used in field. In this paper, a power capacitor insulation state detection method based on polarization-depolarization current is proposed. Firstly, the basic principles of the method are discussed. Then, two characterized parameters are conducted based on polarization and depolarization currents,
Capacitor Detection in PCB Using YOLO Algorithm
This paper proposes a capacitor detection method based on YOLO algorithm for printed circuit board (PCB) assembly. YOLO is a kind of fast object detection method based on convolutional neural network (CNN). The deep network architecture of CNN can detect discrimination features from all of the input images, so we do not need experts to define
Capacitor Detection on PCB Using AdaBoost Classifier
The polarity of the capacitor is detected by comparing the image features of the target capacitor. Experimental results show that the algorithm proposed in this paper can effectively detect two kinds of defects: capacitor missing and capacitor polarity opposite. The algorithm can be applied to the AOI detection of PCB before and after wave
Sensorless Capacitor Voltage Detection Method of Cascaded H
The cascaded H-bridge (CHB) static synchronous compensator (STATCOM) has been widely used in wind farm and conflux station. As the grid-connected voltage increases, the number of CHB proportionately increases. In order to achieve the capacitor voltage balance, it is necessary to independently detect the capacitor voltage of all H-bridge cells, which raises the cost of
Neuro-Inspired HTM-Based Online Capacitor Aging Detection of
Understanding the aging mechanisms of electronic components in critical in power electronic converters. Capacitors are crucial components to monitor as they contribute to approximately 30% of electronic component failures in power electronic converters. The paper introduces a novel approach that utilizes a neuro-inspired Hierarchical Temporal Memory (HTM)-based machine
A shunt capacitor detection method based on intelligent
Focused on the problems that capacitor branches parameters cannot be calculated with unknown neutral point voltage, a shunt capacitor detection method based on intelligent substation is proposed in this paper. Using the information from intelligent substation, basic equation of shunt capacitor is firstly constructed in consideration of capacitor operating characteristics. Then,
A Hybrid Optical Detection Algorithm for Plug-in Capacitor
The design of a low-power differential Switched-Capacitor (SC) amplifier for processing a fully-differential input signal coming from a pressure sensor interface is reported.
A Capacitor Switching Disturbance Detection Method Based on
As the scale of power systems continues to expand, it is often necessary to switch capacitors to ensure the normal operation of the distribution network. Howeve
Capacitor Bank Failure Detection in Distribution Systems Using
Distribution system state estimation (DSSE) methods have been developed for real-time monitoring of distribution systems. Some common topology changes, like disconnection of capacitor banks due to internal failures, are not monitored or known and creates an incorrect system model for DSSE. Capacitor banks degrade over time and can experience internal
Capacitor Detection in PCB Using YOLO Algorithm
Experimental results show all the types of capacitors in PCB can be detected and the average detection time is less than 0.3 second, which is fast enough to develop an on-line PCB assembly inspection. Optical inspection is
dtarnawsky/capacitor-ocr: Text Detection Capacitor
Text Detection Capacitor Plugin Resources. Readme License. View license Activity. Stars. 1 star Watchers. 0 watching Forks. 1 fork Report repository Releases No releases published. Packages 0. No packages published .
Detection of Missing Component in PCB Using YOLO
For the very deep VGG-16 model, our detection system has a frame rate of 5fps (including all steps) on a GPU, while achieving state-of-the-art object detection accuracy on PASCAL VOC 2007 (73.2%
Capacitor Detection in PCB Using YOLO Algorithm
The main works of this paper are: (1) develop an AOI system for capacitor polarity defect detection, propose the framework and measurement method of a light source
Capacitor malware detection plugin for Android and iOS
Asynchronous Scanning: Perform malware scans in the background without impacting app performance.; Threat Analysis: Receive information about detected threats to better inform and protect your users.; Simple Integration: Easy-to-follow integration process with extensive documentation and support.; Versatile Blacklisting: Supports hash-based, package
Pinpointing Moisture: The Capacitive
Background: the feasibility of the capacitance method for detecting the water content in standing tree trunks was investigated using capacitance-based equipment that
A light-weight defect detection model for capacitor appearance
To further test the effectiveness of the proposed method for capacitor appearance detection, we tested some images with the resolution size set to 640*640.The statistics of the correct rate, false detection rate, leakage rate, etc. for each type, and the detection results are shown in Table 5.
A light-weight defect detection model for capacitor appearance
In this paper, we propose an ultra-light electrolytic capacitor appearance defect detector based on YOLOv5, without compromising the detection accuracy. MobileNet, GSconv
Capacitor detection value
Capacitor detection value. Our products revolutionize energy storage solutions for base stations, ensuring unparalleled reliability and efficiency in network operations. Many small value capacitors have their value printed but without a multiplier, so you need to use experience to work out what the multiplier should be! For example 0.1
Network Capacitor Plugin API | Capacitor Documentation
Prop Type Description Since; connected: boolean: Whether there is an active connection or not. 1.0.0: connectionType: ConnectionType: The type of network connection currently in use.
Capacitor Detection on PCB Using AdaBoost Classifier
Article "Capacitor Detection on PCB Using AdaBoost Classifier" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST"). It provides free access to secondary information on researchers, articles, patents, etc., in science and technology, medicine and pharmacy.
Detection of Missing Component in PCB Using YOLO
showed all the types of capacitors in PCB could be detected and the average detection time was less than 0.3 second with accuracy of 93.75%. The paper focuses on detection on different types of
Electrolytic capacitor surface defect detection based on deep
The existing methods for detecting surface defects in electrolytic capacitors are typically based on conventional machine vision, with limited feature extraction capabilities, poor versatility, slow detection speed, and the inability to achieve accurate and
Detection and Reliability Risks of Counterfeit Electrolytic Capacitors
This paper presents an offline reliability assessment methodology and a systematic counterfeit detection methodology for electrolytic capacitors, which include optical inspection, X-Ray
Detection and segmentation framework for defect detection on
2.2 | Object detection The goal of object detection in the field of computer vision is to recognize both the location and class of all objects within an image [8]. Most modern object-detection methods that use deep learning [9–12] can be divided into two main approaches: one-stage and two-stage detectors. One-stage detectors predict boxes with
Capacitor Detection on PCB Using AdaBoost Classifier
An AOI algorithm for plug-in polar capacitors is proposed in this paper. The algorithm mainly uses AdaBoost classifier based on Haar-like feature to realize the recognition
Detection and segmentation framework for defect detection on
Existing methods for dielectric detection rely on visual assessments and manual interventions by operators, which can reduce accuracy. In addition, histogram-based algorithms [] for dielectric segmentation have limitations such as the potential misidentification of patterns caused by noise and lifting.These limitations can lead to errors in detecting defective
An Automatic Optical Inspection Algorithm of Capacitor Based on
The accuracy of capacitor detection is 93.91%. Fan et al. [1] uses based on Haar-like feature and AdaBoost classifier to recognize and classify plug-in capacitors with eight directions. In
Capacitive Sensors | Detection Method and Function
All Pepperl+Fuchs proximity sensors were, and continue to be, developed, manufactured, and marketed in accordance with the relevant standard IEC/EN 60947 "Low-voltage switchgear and controlgear—Part 5-2: Control circuit devices and switching elements—Proximity switches.". For Pepperl+Fuchs safety-related sensors, the relevant standard "Low-voltage switchgear and
Fast plug-in capacitors polarity detection with morphology and
Defect detection is a critical element in the PCB manufacturing process. Different from surface mount PCB, the components on the plug-in PCB are usually installed manually, resulting in significant errors. We make contributions in the following two aspects: (1) a framework and measurement method of a light source and make a cheap and efficient lighting
SiYeeTech/capacitor-theme-detection
📱 Capacitor plugin to detect whether dark mode is enabled - SiYeeTech/capacitor-theme-detection