Research and Design of Fast Special Human Face Recognition System

Muwardi, Rachmat; Qin, Huangyao; Ghifarsyam, Harun Usman; Hajar, Muhammad Hafizd Ibnu; Yunita, Mirna

doi:10.1109/bcwsp50066.2020.9249452

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Many authors use Arduino controllers as well as the Internet of Things system [15,16,17]. In this study, the authors monitored the temperature regulation of the cage in the chicken farming process using the Vento application [18,19,20]. Vento is a climate controller developed by Big Dutchman that is easy to understand and user-friendly.…”

Section: Methodsmentioning

confidence: 99%

Monitoring chicken livestock process using Vento Application at a farm

Andika

Muwardi

Yunita

et al. 2022

JIAE

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Regular temperature monitoring in the poultry industry is necessary to produce high-quality products. However, the traditional methods of these activities are still massively applied. Therefore, a modest process on poultry farms requires temperature monitoring and control. Vento is a climate controller developed by Big Dutchman that is easy to understand and user-friendly. Further, the module provides a handy installation and operation on the farm. Therefore, Vento is suitable to use in hot climates area. Vento performs temperature control by reading the input collected from the DOL114 sensor and the DOL12 sensor. The DOL114 sensor performs temperature and humidity detection in the front area of the cage. At the same time, the DOL12 was installed to obtain temperature information behind the cage. Both functions as input to operate the Heater, but only the DOL114 sensor is used to activate the cooling pad. The temperature value gathered by the DOL114 sensor and the DOL12 sensor will be processed by Vento, resulting in average temperature data. Thus, the data obtained from the sensor will be transferred to the Vento system to operate the output in the form of an exhaust fan. The exhaust fan serves as a tool that removes air and ammonia in the cage so that the cage temperature complies with a predetermined setpoint.

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Section: Methodsmentioning

confidence: 99%

Monitoring chicken livestock process using Vento Application at a farm

Andika

Muwardi

Yunita

et al. 2022

JIAE

Self Cite

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“…Object detection is one of the fundamental problems of computer vision. Some of these include object detection applications such as pedestrian detection, people counter, face detection, writing detection, pose detection, or license plate recognition [1,2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Human Object Detection for Real-Time Camera using Mobilenet-SSD

Muwardi,

Permana,

Gao

et al. 2023

JIAE

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Technology development is very rapid, so all fields are required to develop technology to increase the effectiveness and efficiency of work. One of the focuses is related to image processing technology. We can benefit from this system, so various fields have implemented image processing systems, such as security, health, and education. One of the current obstacles is safety, namely in searching for people, which is still done manually. Searching for teams to find people is often challenging because of the significant search area, low light conditions, and complex search fields. Therefore, we need a tool capable of detecting humans to assist in finding people. Therefore, to detect human objects, the authors try to research human object detection using a simple device for the human object detection system. The authors use the MobilenetV2-SSD, where this algorithm has high detection and accuracy. Using the mobilenetV2-SSD simulation method for human object recognition, a detection rate of 100% is obtained with an FPS value of 5.

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“…A fuzzy PID self-tuning control method is used to control the speed and steering of the stepping motor accurately, and an IIR digital filter is designed to reduce the interference from sea waves. The simulation results show that the stepping motor responds quickly, the speed of the stepping motor is stable, and the data acquisition time is reduced based on the proposed algorithm [5][6][7][8][9]. The construction of the campus automatic settlement system should fully consider the consumer management subsystem, the library monitoring subsystem, the student attendance monitoring subsystem, and the computer monitoring subsystem [10][11].…”

Section: Introductionmentioning

confidence: 99%

Modification of Control Oil Feeding with PLC Using Simulation Visual Basic and Neural Network Analysis

Yuliza

Muwardi

Pratama

et al. 2022

Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika

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The oil feeding system is an oil distribution system used in engine lubrication by flowing it directly to the engine parts to be lubricated through pipes. In addition, it is also a raw material for the production process by collecting the oil first in the storage tank, then weighing it on the oil scale before use in the production process. The current control is still using the conventional model. The operating system is still manual, and the absence of identity and damage information makes it difficult for the engineer to troubleshoot. The research method is to modify the oil feeding system control using PLC (Programmable Logic Controller) and Visual Basic to display process information. This process uses the Neural Network (NN) method. The simulation results show that the PLC program and visual basic software can be connected properly. The speed of the data transfer test connection that can be obtained is 32 ms. The prediction process of the oil feeding system using the backpropagation algorithm Neural Network and the activation function, which uses the binary sigmoid function (logsig) with the 17-10-1 architecture having very good performance getting the MSE value below the error value of 0.001 maximum epoch 961 and hidden layer 10 with an MSE value of 0.00099915.

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Research and Design of Fast Special Human Face Recognition System

Cited by 4 publications

References 6 publications

Monitoring chicken livestock process using Vento Application at a farm

Monitoring chicken livestock process using Vento Application at a farm

Human Object Detection for Real-Time Camera using Mobilenet-SSD

Modification of Control Oil Feeding with PLC Using Simulation Visual Basic and Neural Network Analysis

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