scholarly journals Design of Low-Cost Personal Identification System That Uses Combined Palm Vein and Palmprint Biometric Features

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 15922-15931 ◽  
Author(s):  
Peng Chen ◽  
Baojin Ding ◽  
Haixia Wang ◽  
Ronghua Liang ◽  
Yilong Zhang ◽  
...  
Keyword(s):  
Low Cost ◽  
Personal Identification ◽  
Identification System ◽  
Palm Vein ◽  
Biometric Features

scholarly journals CNN-Based Personal Identification System Using Resting State Electroencephalography

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yongdong Fan ◽  
Xiaoyu Shi ◽  
Qiong Li
Keyword(s):  
Resting State ◽  
Data Augmentation ◽  
Low Cost ◽  
Personal Identification ◽  
Acquisition Time ◽  
Identification System ◽  
Short Acquisition Time ◽  
Average Accuracy ◽  
Biometric Characteristic ◽  
Identification Technique

As a biometric characteristic, electroencephalography (EEG) signals have the advantages of being hard to steal and easy to detect liveness, which attract researchers to study EEG-based personal identification technique. Among different EEG protocols, resting state signals are the most practical option since it is more convenient to operate than the other protocols. In this paper, a personal identification system based on resting state EEG is proposed, in which data augmentation and convolutional neural network are combined. The cross-validation is performed on a public database of 109 subjects. The experimental results show that when only 14 EEG channels and 0.5 seconds data are employed, the average accuracy and average equal error rate of the system can reach 99.32% and 0.18%, respectively. Compared with some existing representative works, the proposed system has the advantages of short acquisition time, low computational complexity, and rapid deployment using market available low-cost EEG sensors, which further advances the implementation of practical EEG-based identification systems.

Fingerprint Identification System Based on DSP

2012 ◽  
Vol 468-471 ◽  
pp. 920-923
Author(s):  
Ya Ping Bao ◽  
Li Liu ◽  
Yuan Wang ◽  
Qian Song
Keyword(s):  
Software Design ◽  
High Speed ◽  
High Efficiency ◽  
Low Cost ◽  
Fingerprint Identification ◽  
Identification System ◽  
System Operation ◽  
Operation Speed ◽  
High Speed Data Acquisition ◽  
High Speed Data

This paper introduced a fast fingerprint identification system based on TMS320VC5416 DSP chip and MBF200 solidity fingerprint sensor. It precipitates fingerprint identification device developing into the direction of miniaturization, embedded and automatic.It recommends fingerprint identification system hardware and software design and the main system processing flow, aim at fingerprint identification arithmetic, the influence of system operation speed is being researched at the same time. High-speed data acquisition system is been built in order to achieve a DSP fingerprint identification system with high efficiency and low cost.

A dsPIC Microcontroller Based System Identification of Positive Output Buck Boost Converter for Module Mismatch Application

2015 ◽  
Vol 785 ◽  
pp. 106-110
Author(s):  
M.N.M. Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim ◽  
Kamarulazhar Daud
Keyword(s):  
Direct Method ◽  
Low Cost ◽  
Digital Signal ◽  
Solar Irradiation ◽  
Identification System ◽  
Pv System ◽  
Partial Shading ◽  
Single Output ◽  
Pv Module ◽  
Power Point

An identification system of multiple-input single-output (MISO) model is developed in controlling dsPIC microcontroller of positive output buck-boost (POBB) converters for module mismatch condition of photovoltaic (PV) system. In particular, the possibility of the scheme is to resolve the mismatch losses from the PV module either during shading or mismatch module occurrences. The MPPT algorithm is simplified by identification approach of indirect incorporated with a simple incremental direct method to form a combined direct and indirect (CoDId) algorithms. Irregular consumption of solar irradiation on a PV module shall step-up or step down the voltage regarding to the desired DC output voltage of POBB converter. This optimized algorithm will ensure that the PV module to kept at maximum power point (MPP), preventing power loss during module mismatch incident in PV module especially during partial shading condition. The simulation and laboratory results for PV module of polycrystalline Mitsubishi PV-AE125MF5N indicate that the proposed model and development of PV system architecture performs well, while the efficiency up to 97.7% at critical of low solar irradiance level. The controlling signal is based on low-cost embedded microcontroller of dsPIC30F Digital Signal Control (DSC).

scholarly journals Part Identification System for a Flexible Feeder using Proximity Sensors

2015 ◽  
Vol 14 (3-4) ◽  
Author(s):  
K Sadesh ◽  
PV Mohram ◽  
S Udhayakumar
Keyword(s):  
Low Cost ◽  
Identification System ◽  
Arbitrary Orientation ◽  
Vision Systems ◽  
Flexible Part

<p>A part feeder intakes identical parts of arbitrary orientation and provides output in uniform orientation. A flexible feeder is capable of handling parts of several sizes. The two important modules of a flexible part feeder are (i) identification of part (ii) adjustments to accommodate the incoming part. This paper aims at first module i.e. developing a low cost part identification system using two proximity sensors and thereby eliminating the use of costlier vision systems. The proposed part identification system using two capacitive type proximity sensors was effective in identifying the size of incoming parts and the efficiency of the system was around 84.6%.</p>

scholarly journals Practical Implementation of an Indoor Robot Localization and Identification System using an Array of Anchor Nodes

2020 ◽  
Vol 16 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Israa AL-Forati ◽  
Abdulmuttalib Rashid
Keyword(s):  
Search Algorithm ◽  
Low Cost ◽  
Binary Search ◽  
Practical Implementation ◽  
Identification System ◽  
Robot Localization ◽  
Light Emitting ◽  
The Matrix ◽  
Anchor Nodes ◽  
Binary Search Algorithm

This paper proposes a low-cost Light Emitting Diodes (LED) system with a novel arrangement that allows an indoor multi-robot localization. The proposed system uses only a matrix of low-cost LED installed uniformly on the ground of an environment and low-cost Light Dependent Resistor (LDR), each equipped on bottom of the robot for detection. The matrix of LEDs which are driven by a modified binary search algorithm are used as active beacons. The robot localizes itself based on the signals it receives from a group of neighbor LEDs. The minimum bounded circle algorithm is used to draw a virtual circle from the information collected from the neighbor LEDs and the center of this circle represents the robot’s location. The propose system is practically implemented on an environment with (16*16) matrix of LEDs. The experimental results show good performance in the localization process.

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