scholarly journals High-Accuracy Serial Pattern Detection System with Optimized Annealing

2017 ◽  
Vol 176 (2) ◽  
pp. 26-32
Author(s):  
Aykut Zongur
Keyword(s):  
Detection System ◽  
High Accuracy ◽  
Pattern Detection ◽  
Serial Pattern

scholarly journals PENDETEKSIAN OBJEK ROKOK PADA VIDEO BERBASIS PENGOLAHAN CITRA DENGAN MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER

2018 ◽  
Vol 1 (3) ◽  
pp. 92
Author(s):  
Kadek Oki Sanjaya ◽  
Gede Indrawan ◽  
Kadek Yota Ernanda Aryanto
Keyword(s):  
Image Processing ◽  
Detection System ◽  
High Accuracy ◽  
Special Study ◽  
Cascade Classifier ◽  
Integral Image ◽  
Main Method ◽  
Average Accuracy ◽  
Haar Features ◽  
Haar Cascade

Object detection is a topic widely studied by the scientists as a special study in image processing. Although applications of this topic have been implemented, but basically this technology is not yet mature, futher research is needed to developed to obtain the desired result. The aim of the present study is to detect cigarette objects on video by using the Viola Jones method (Haar Cascade Classifier). This method known to have speed and high accuracy because of combining some concept (Haar features, integral image, Adaboost, and Cascade Classifier) to be a main method to detect objects. In this research, detection testing of cigarettes object is in samples of video with the resolution 160x120 pixels, 320x240 pixels, 640x480 pixels under condition of on 1 cigarette object and condition 2 cigarettes object. The result of this research indicated that percentage of average accuracy highest 93.3% at condition 1 cigarette object and 86,7% in the condition 2 cigarette object that was detected on the video with resolution 640x480 pixels, while the percentage of accuracy lowest 90% at condition 1cigarette object, and 81,7% at the condition 2 cigarette objects, detected on the video with the lowest resolution 160x120 pixels. The percentage of average errors at detection cigarettes object was inversely with percentage of accuracy. So that the detection system is able to better recognize the object of the cigarette, then the number of samples in the database needs to be improved and able to represent various types of cigarettes under various conditions and can be added new parameters related to cigarette object

scholarly journals Efficient Detection of Phishing Websites Using Multilayer Perceptron

2020 ◽  
Vol 14 (11) ◽  
pp. 22
Author(s):  
Ammar Jamil Odeh ◽  
Ismail Keshta ◽  
Eman Abdelfattah
Keyword(s):  
Neural Network ◽  
Multilayer Perceptron ◽  
Detection System ◽  
High Accuracy ◽  
Internet Fraud ◽  
Efficient Detection ◽  
Novel Approach

Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming websites. In this paper, a novel approach is utilized that uses a Neural Network with a multilayer perceptron to detect the scam URL. The proposed system improves the accuracy of the scam detection system as it achieves a high accuracy percentage of 98.5%.

scholarly journals Automated and High Accuracy Out-Of-Hospital Heart Diseases Early Detection System

2017 ◽  
Vol 249 ◽  
pp. S9-S10 ◽  
Author(s):  
A.F. Hussein ◽  
S.J. Hashim ◽  
A.F. Abdul Aziz ◽  
F.Z. Rokhani ◽  
W.A. Wan Adnan
Keyword(s):  
Early Detection ◽  
Detection System ◽  
Heart Diseases ◽  
High Accuracy

Data Analysis and Temperature Compensation of Laser CH4 Detection System

2012 ◽  
Vol 608-609 ◽  
pp. 433-436 ◽  
Author(s):  
Yan Fang Li ◽  
Chang Wang ◽  
Yu Bei Wei ◽  
Yan Jie Zhao ◽  
Tingting Zhang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Absorption Coefficient ◽  
Fiber Laser ◽  
Temperature Compensation ◽  
Detection System ◽  
Fast Response ◽  
High Accuracy ◽  
Environment Temperature

One fiber laser CH4 detection system based on the spectrum absorption is provided. The system has the advantages such as high accuracy, fast response and highly specific and so on. But the absorption coefficient of the methane and the characteristic of the electronic and optic device are all affected by the temperature. So the test value has interdependency to the environment temperature. In this paper, we give the measure principle of the detector and the analyses of the data which last one month uninterrupted. And then the temperature compensate was introduced to improve the performance of the detector.

A LCD Touch Screen Controller Based on LPC2138

2011 ◽  
Vol 383-390 ◽  
pp. 6914-6919 ◽  
Author(s):  
Jing Gao ◽  
Lian Qing Zhu ◽  
Yang Kuan Guo ◽  
Hao Meng
Keyword(s):  
Control Method ◽  
Detection System ◽  
Liquid Crystal Display ◽  
Touch Screen ◽  
High Accuracy ◽  
Erythrocyte Sedimentation ◽  
Synchronization Algorithm ◽  
Great Reliability ◽  
Working Principle ◽  
And Control

The user interface made of a LCD (liquid crystal display) screen and a touch screen based on LPC2138 is presented in this paper. The hardware design of the LCD and the touch screen is introduced and the software flow of the LCD and the touch screen is also described in this paper. And this paper proposes the synchronization algorithm which can achieve the LCD and the touch screen point by point with high accuracy and great reliability. On the basis of analyzing the principle of the embedded touch panel system, the working principle and control method of the dedicated controller DV320240GB touch screen are analyzed. The method for obtaining the coordinates of the touch screen and the synchronization algorithm of the LCD display are proposed to improve the efficiency of the touch screen and the LCD. The above-mentioned design has been successfully applied in ESR (erythrocyte sedimentation rate) detection system.

scholarly journals Online Multi-Layers Social Distance Detection in Iraqi Schools

2021 ◽  
Vol 12 (6) ◽  
pp. 2103-2108
Author(s):  
Abdulhakeem Q. Albayati, Farah F. Alkhalid, Rafah K. Hussain
Keyword(s):  
Social Distance ◽  
Detection System ◽  
Main Idea ◽  
High Accuracy ◽  
Epidemic Spread ◽  
Health Organizations ◽  
Person Detection ◽  
Whole School ◽  
School Yard ◽  
Better Than

In the circumstance of the COVID-19 pandemic, Prevention is better than cure, especially if the cure is not available, the first motto that all health organizations recommend is keep distances between people to prevent epidemic spread. In this paper, an online multi layers social distance detection system is proposed, the main idea is to detect distance among pupils and classify the distance to accept or not, this system treats stream video of fixed camera which monitor the whole school yard where the pupils are available, this proposed system used multi layers, the first is to make person detection using Yolo-4 approach including CNN model, and surround it by rectangle, the second is to specify the center of detected person, finally, calculate the relative distance to decide if it is accepted or not, this system works online and give high accuracy.

scholarly journals Efficient Commercial Classification of Agricultural Products using Convolutional Neural Networks

2021 ◽  
Vol 10 (4) ◽  
pp. 353
Author(s):  
Ali Jebelli ◽  
Rafiq Ahmad
Keyword(s):  
Detection System ◽  
High Accuracy ◽  
Agricultural Products ◽  
The Other ◽  
Internet Connection ◽  
Product Image ◽  
Short Time ◽  
Speed And Accuracy ◽  
Chemical Materials

<p>Agricultural products, as essential commodities, are among the most sought-for items in superstores. Barcode is usually utilized to classify and regulate the price of products such as ornamental flowers in such stores. However, the use of barcodes on some fragile agricultural products such as ornamental flowers can be damaged and lessen their life length. Moreover, it is time-consuming and costly<em><strong> </strong></em>and may lead to the production of massive waste and damage to the environment and the admittance of chemical materials into food products that can affect human health. Consequently, we aimed to design a classifier robot to recognize ornamental flowers based on the related product image at different times and surrounding conditions. Besides, it can increase the speed and accuracy of distinguishing and classifying the products, lower the pricing time, and increase the lifetime due to the absence of the need for movement and changing the position of the products. According to the datasheets provided by the robot that is stored in its database, we provide the possibility of identifying and introducing the product in different colors and shapes. Also, due to the preparation of a standard and small database tailored to the needs of the robot, the robot will be trained in a short time (less than five minutes) without the need for an Internet connection or a large hard drive for storage the data. On the other hand, by dividing each input photo into ten different sections, the system can, without the need for a detection system, simultaneously in several different images, decorative flowers in different conditions, angles and environments, even with other objects such as vases, detects very fast with a high accuracy of 97%.</p>

scholarly journals Eye Detection System Based on Image Processing for Vehicle Safety

2020 ◽  
Vol 19 (01) ◽  
pp. 11-22
Author(s):  
Almira Budiyanto ◽  
Abdul Manan ◽  
Elvira Sukma Wahyuni
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Digital Image Processing ◽  
Traffic Accidents ◽  
Detection System ◽  
High Accuracy ◽  
Vehicle Safety ◽  
Eye Detection ◽  
Eye Blinks ◽  
The Face

The more advanced the technology and the greater the community's need to carry out activities every day, the number of vehicles on the highway is getting crowded. From year to year, the greater the level of traffic accidents caused by many factors, among the usual reasons is the loss of awareness of the driver when driving a vehicle especially drowsiness. One of the drowsiness parameters is the frequency eye blinks. Therefore, to get the drowsiness symptoms, the purpose of this research is to detect the eye blinks, which in turn reduce the level of accidents by detecting sleepy eyes based on digital image processing. The method used to detect both eyes is the Viola-Jones method. The detection of both eyes can also acquire the duration of closed eyes and the number of eye blinks. A person can be said to be sleepy by means of sleepiness parameters determined by a study. The research shows that detection of eye blinks using the Viola-Jones method has a fairly high accuracy of up to 84.72% if the face condition is upright and tilted no more than 45 degrees. Another conclusion is that eye detection and driver detection are more effective at certain light intensity values which are around 2-33 lux.

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