PCB Fault Detection Using Image Processing

Nayak, Jithendra P R; Anitha, K.; Parameshachari, B. D.; Banu, R. S. D. Wahida; Rashmi, P

doi:10.1088/1757-899x/225/1/012244

Cited by 42 publications

(10 citation statements)

References 2 publications

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“…In the method proposed in [ 15 , 16 , 17 ], MobileNetV2 pre-trained classifier is used for the purpose of classification. A Kaggle dataset with real world persons with masks is used.…”

Section: Related Workmentioning

confidence: 99%

Face mask recogniser using image processing and computer vision approach

Sharadhi

Gururaj

Shankar

et al. 2022

Global Transitions Proceedings

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“…In the method proposed in [ 15 , 16 , 17 ], MobileNetV2 pre-trained classifier is used for the purpose of classification. A Kaggle dataset with real world persons with masks is used.…”

Section: Related Workmentioning

confidence: 99%

Face mask recogniser using image processing and computer vision approach

Sharadhi

Gururaj

Shankar

et al. 2022

Global Transitions Proceedings

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“…relay: The single channel relay is used to control motor via 5V battery with 180mA current. Based on the control signal from microcontroller, the relay can switch the battery to submersible mini water pump [20]. vi).…”

Section: A Hardwarementioning

confidence: 99%

Implementation of IoT in Agriculture: A Scientific Approach for Smart Irrigation

Viswanatha

A.C

et al. 2022

Preprint

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Digital technologies empower the transformation into data-driven, intelligent, agile, and autonomous farm operations and are typically considered a key to addressing the grand challenges in agriculture. To avoid unscientific water supply for plantation as well as to save the water and also yield the better crop, therefore, to increase production efficiency out of smart irrigation and to send the status of irrigation at standard environmental conditions, The Internet of Things (IoT) based prototype is designed and implemented. The prototype automatically turns ON /OFF the motor pump based on the moisture level of the soil by taking the temperature and humidity of the environment near the plantation into consideration (In India, the standard parameters for watering the vegetable plantation are Humidity>60%, Temperature < 25°C and Humidity<40% ). The prototype is designed with an ESP32S microcontroller with DHT 11 and a moisture sensor. Arduino IDE development tool is used for programming ESP32S using embedded C programming language. The prototype is configured, programmed, and connected to the Arduino IoT cloud. The data of temperature, humidity, and moisture are received via message queuing telemetry transport (MQTT) protocol on IoT cloud through public IP therefore the data can be accessed worldwide. The authorized person can access the data and control the motor pump from anywhere across the world. The test data obtained out of the prototype over the cloud and at the system are presented in the result section.

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“…11 (a). In the figure, the white numbers of morpheme sequences marked on the red track and the green track are both [1]- [4].…”

Section: ) Analysis Of the Poor Recall Of Lsj Algorithmmentioning

confidence: 99%

“…Taking Fig. 11 as an example still, the morpheme in the hypothetical connecting track of true fracture A is [1]- [4], and the corresponding length is [0,180,32,110]. And the corresponding length of pseudo fracture B is [0,192,40,675].…”

Section: ) Analysis Of the Poor Recall Of Lsj Algorithmmentioning

confidence: 99%

Flexible Printed Circuit Fracture Detection Based on Hypothesis Testing Strategy

Yuan

2020

IEEE Access

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A detection algorithm based on hypothesis testing strategy is presented for the detection of the fracture of FPC track. First, the sandwiched region between any two break points of the track skeleton is hypothesized as the alternative fracture to wait for ''testing''. Then, the language semantic judgment (LSJ) algorithm is proposed to verify (''testing'') the hypothetical connecting track which is the union of the two incomplete tracks located by the ends of the alternative fracture. And the structure reasonable degree of the hypothetical connecting track compared with the FPC layout is tested by the longest-relative sequence (LRS) algorithm we proposed. Then the error control technology is used to conduct the posterior verification, to solve the problem that circuits with the same topology structure interfere with the evaluation process of LSJ algorithm. In addition, we have established an automatic optical detection system for FPC of the laptop keyboard. We also conduct experiments with the images captured by this system. The results demonstrate that, compared with the state-of-the-art methods, our proposed algorithm can provide a better detection effect for the track fracture-the Recall, Precision and FNR are 0.9185, 1, and 0.0815 respectively under the condition of without missing detection. And the time consumption is 1.6915 s, which is a relatively short time-consuming compared with the other methods.

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PCB Fault Detection Using Image Processing

Cited by 42 publications

References 2 publications

Face mask recogniser using image processing and computer vision approach

Face mask recogniser using image processing and computer vision approach

Implementation of IoT in Agriculture: A Scientific Approach for Smart Irrigation

Flexible Printed Circuit Fracture Detection Based on Hypothesis Testing Strategy

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