Efficient and low-cost system for the selection of coffee beans: an application of artificial vision

Artificial vision has wide-ranging applications in the food sector; it is easy to use, relatively low cost and allows to conduct rapid non-destructive analyses. The aim of this study was to use artificial vision techniques to control and model the coffee roasting process. Samples of Castillo variety coffee were used to construct the roasting curve, with captured images at different times. Physico-chemical determinations, such as colour, titratable acidity, pH, humidity and chlorogenic acids, and caffeine content, were investigated on the coffee beans. Data were processed by (i) Principal component analysis (PCA) to observe the aggrupation depending on the roasting time, and (ii) partial least squares (PLS) regression to correlate the values of the analytical determinations with the image information. The results allowed to construct robust regression models, where the colour coordinates (L*, a*), pH and titratable acidity presented excellent values in prediction (R2Pred 0.95, 0.91, 0.94 and 0.92). The proposed algorithms were capable to correlate the chemical composition of the beans at each roasting time with changes in the images, showing promising results in the modelling of the coffee roasting process.

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Low-Cost System for Weld Tracking Based on Artificial Vision

IEEE Transactions on Industry Applications ◽

10.1109/tia.2011.2124432 ◽

2011 ◽

Vol 47 (3) ◽

pp. 1159-1167 ◽

Cited By ~ 23

Author(s):

Alberto Fernandez Villan ◽

Rodrigo Garcia Acevedo ◽

Eduardo Alvarez Alvarez ◽

Antonio Campos Lopez ◽

Daniel F. Garcia ◽

...

Keyword(s):

Low Cost ◽

Artificial Vision ◽

Cost System

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SwimBIT: A Novel Approach to Stroke Analysis During Swim Training Based on Attitude and Heading Reference System (AHRS)

Sports ◽

10.3390/sports7110238 ◽

2019 ◽

Vol 7 (11) ◽

pp. 238

Author(s):

Félix ◽

Silva ◽

Olstad ◽

Cabri ◽

Correia

Keyword(s):

Reference System ◽

Low Cost ◽

Real World Data ◽

Front Crawl ◽

Skill Levels ◽

Injury Reduction ◽

Cost System ◽

Novel Approach ◽

Sports Sciences ◽

Selection Of

In a world where technology is assuming a pervasive role, sports sciences are also increasingly exploiting the possibilities opened by advanced sensors and intelligent algorithms. This paper focuses on the development of a convenient, practical, and low-cost system, SwimBIT, which is intended to help swimmers and coaches in performance evaluation, improvement, and injury reduction. Real-world data were collected from 13 triathletes (age 20.8 ± 3.5 years, height 173.7 ± 5.3 cm, and weight 63.5 ± 6.3 kg) with different skill levels in performing the four competitive styles of swimming in order to develop a representative database and allow assessment of the system’s performance in swimming conditions. The hardware collects a set of signals from swimmers based on an attitude and heading reference system (AHRS), and a machine learning workflow for data analysis is used to extract a selection of indicators that allows analysis of a swimmer's performance. Based on the AHRS data, three novel indicators are proposed: trunk elevation, body balance, and body rotation. Experimental evaluation has shown promising results, with a 100% accuracy in swim lap segmentation, a precision of 100% in the recognition of backstroke, and a precision of 89.60% in the three remaining swimming techniques (butterfly, breaststroke, and front crawl). The performance indicators proposed here provide valuable information for both swimmers and coaches in their quest for enhancing performance and preventing injuries.

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Low Cost System for Weld Tracking Based on Artificial Vision

2009 IEEE Industry Applications Society Annual Meeting ◽

10.1109/ias.2009.5324960 ◽

2009 ◽

Author(s):

Alberto Fernandez Villan ◽

Rodrigo Garcia Acevedo ◽

Eduardo Alvarez Alvarez ◽

Antonio Campos Lopez ◽

Daniel F. Garcia ◽

...

Keyword(s):

Low Cost ◽

Artificial Vision ◽

Cost System

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Low-Cost System Handles Patient Phone Calls

Internal Medicine News ◽

10.1016/s1097-8690(07)70680-7 ◽

2007 ◽

Vol 40 (11) ◽

pp. 53

Author(s):

BRUCE K. DIXON

Keyword(s):

Low Cost ◽

Cost System ◽

Phone Calls

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Intelligent, low-cost system for fume control during laser material processing

International Laser Safety Conference ◽

10.2351/1.5056599 ◽

2005 ◽

Author(s):

Ramin Sattari ◽

Stephan Barcikowski ◽

Thomas Püster ◽

Andreas Ostendorf ◽

Heinz Haferkamp

Keyword(s):

Material Processing ◽

Low Cost ◽

Laser Material Processing ◽

Laser Material ◽

Cost System

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Design Considerations and Selection of Cost-Effective Switched Reluctance Drive for Radiator Cooling Fans

Electronics ◽

10.3390/electronics10080917 ◽

2021 ◽

Vol 10 (8) ◽

pp. 917

Author(s):

Ickjin Son ◽

Grace Firsta Lukman ◽

Mazahir Hussain Shah ◽

Kwang-Il Jeong ◽

Jin-Woo Ahn

Keyword(s):

Low Cost ◽

Cost Effective ◽

Magnetic Characteristics ◽

Switched Reluctance Motors ◽

Switched Reluctance ◽

Design Considerations ◽

Cooling Fan ◽

Cooling Fans ◽

Power Switches ◽

Selection Of

Switched reluctance motors (SRMs) are simple in structure, easy to manufacture, magnet-less, brushless, and highly robust compared to other AC motors which makes them a good option for applications that operate in harsh environment. However, the motor has non-linear magnetic characteristics, and it comes with various pole-phase combinations and circuit topologies that causes many difficulties in deciding on which type to choose. In this paper, the viability of SRM as a low-cost, rugged machine for vehicle radiator cooling fan is considered. First, necessary design considerations are presented, then three commonly use types of SRM are analyzed: A 3-phase 6/4, 3-phase 12/8, and a 4-phase 8/6 to find their static and dynamic characteristics so the most suitable type can be selected. Simulation results show that the 8/6 SRM produces the highest efficiency with less phase current which reduces the converter burden. However, with asymmetric half bridge converter, eight power switches are required for 8/6 SRM and thus put a burden on the overall drive cost. As a solution, the Miller converter with only six switches for four phase SRM. To verify the proposed idea, the 8/6 SRM was manufactured and tested. The results show that Miller converter can be used for the proposed SRM with slightly reduced efficiency at 80.4%.

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An IoT-Based Participatory Antitheft System for Public Safety Enhancement in Smart Cities

Smart Cities ◽

10.3390/smartcities4020047 ◽

2021 ◽

Vol 4 (2) ◽

pp. 919-937

Author(s):

Nikos Papadakis ◽

Nikos Koukoulas ◽

Ioannis Christakis ◽

Ilias Stavrakas ◽

Dionisis Kandris

Keyword(s):

Smart Cities ◽

Low Cost ◽

Negative Influence ◽

Asset Tracking ◽

Tracking Tasks ◽

Tracking Process ◽

The Impact ◽

Operation Center ◽

Safety Enhancement ◽

Selection Of

The risk of theft of goods is certainly an important source of negative influence in human psychology. This article focuses on the development of a scheme that, despite its low cost, acts as a smart antitheft system that achieves small property detection. Specifically, an Internet of Things (IoT)-based participatory platform was developed in order to allow asset-tracking tasks to be crowd-sourced to a community. Stolen objects are traced by using a prototype Bluetooth Low Energy (BLE)-based system, which sends signals, thus becoming a beacon. Once such an item (e.g., a bicycle) is stolen, the owner informs the authorities, which, in turn, broadcast an alert signal to activate the BLE sensor. To trace the asset with the antitheft tag, participants use their GPS-enabled smart phones to scan BLE tags through a specific smartphone client application and report the location of the asset to an operation center so that owners can locate their assets. A stolen item tracking simulator was created to support and optimize the aforementioned tracking process and to produce the best possible outcome, evaluating the impact of different parameters and strategies regarding the selection of how many and which users to activate when searching for a stolen item within a given area.

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