Study on Color Analyzer based on the Multiplexing of TCS3200 Color Sensor and Microcontroller

Qiao-yi, Li; Yanling, Xiong; Wen-long, Yang; Han, Junsheng; Liang, Huan

doi:10.14257/ijhit.2014.7.5.15

Cited by 12 publications

(4 citation statements)

References 1 publication

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“…The status of color for identifying and estimating the physical qualities of materials is featured in [ 23 , 24 ]. Image processing and object detection are achieved in industries using color characteristics while color sensors detect and sort materials according to their color [24] .…”

Section: Introductionmentioning

confidence: 99%

Solar panel surface dirt detection and removal based on arduino color recognition

Olorunfemi¹,

Nwulu²,

Ogbolumani³

2023

MethodsX

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Section: Introductionmentioning

confidence: 99%

Solar panel surface dirt detection and removal based on arduino color recognition

Olorunfemi¹,

Nwulu²,

Ogbolumani³

2023

MethodsX

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“…Color is shown to be very essential for detecting and assessing the physical properties of materials [17,18]. Image processing and object detection techniques are achieved in industries using color characteristics, while color sensors can be useful in detecting and sorting materials according to their color [18].…”

Section: Introductionmentioning

confidence: 99%

Designing, Optimizing, and Validating a Low-Cost, Multi-Purpose, Automatic System-Based RGB Color Sensor for Sorting Fruits

Elwakeel,

Mazrou,

Tantawy

et al. 2023

Agriculture

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The use of automatic systems in the agriculture sector enhances product quality and the country’s economy. The method used to sort fruits and vegetables has a remarkable impact on the export market and quality assessment. Although manual sorting and grading can be performed easily, it is inconsistent, time-consuming, expensive, and highly influenced by the surrounding environment. In this regard, this study aimed to design and optimize the performance of a low-cost, multi-purpose, automatic RGB color-based sensor for sorting fruits. The proposed automatic color sorting system consists of hardware components including a machine frame, belt and pulleys, conveyor belt, scanning zone, plastic boxes, electric components (stepper motors, RGB color sensors, Arduino Mega, motor drivers), and software components (Arduino IDE version 2.2.1 and C++). Calibration was performed for the light intensity sensor to measure the light intensity inside the scanning zone, the conveyor speed sensor, and the RGB color sensors by testing the RGB color channels. The sensor, the height, conveyor belt color, and light intensity should be carefully adjusted to ensure a high performance of the color-based sorting system. The results showed that the appropriate sensor height ranged from 15 to 30 mm, the optimum color of the conveyor belt was black, and scanning the objects at a light intensity of 25 lux achieved the best output signals. The RGB color sensors achieved an analytical performance similar to that obtained with manual sorting without requiring the use of computers for image processing like other automatic sorting systems do in order to gather RGB data.

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“…Arduino can also tell what to do by sending instructions to the microcontroller (Arduino, 2022(Arduino, , 2023. Using the TCS3200 color sensor, some color-measurement instruments have been developed by employing the Arduino microcontroller for standard white color (Li et al, 2014;Ratnawati and Vivianti, 2018;Zulkarnain et al, 2019), a television screen service (Chen and Zhu, 1996). In the food system, there is also developing an instrument to detect borax in food (Iwanto et al, 2018), determination of final titration in the titrimetric method (Li and Zhang, 2011), and identify the quality of liquid milk and fruit juice (Pratama et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Colorimeter design for dry food-products inspection using TCS3200 sensor and Arduino Mega-2560

Prabowo,

Utama Sutrisno,

Purnawan Candra

et al. 2023

AFSSAAE

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This report describes the successful construction of a Colorimeter CK20.1 prototype using a TCS3200 sensor based on the Arduino Mega-2560 microcontroller for solid foodstuffs inspection. The sample color exposed is presented in RGB form. In this experiment, a commercial colorimeter (ColorFlex EZ Spectrophotometer, with the output, is in L*a*b* form) was applied as a validator of the prototype quality performance on color reading for green beans, wheat flour, palm sugar, ground coffee, and cocoa powder. Data were analyzed for mean comparison using t-test or Mann-Whitney for normally or not normally distributed data, respectively. Before data analysis, the RGB data provided by the prototype was transformed to L*a*b* by the template available from colormine.org and vice versa for the data provided by the ColorFlex EZ. The results showed that color component measurement data from the Colorimeter CK20.1 prototype and the Color FlexEZ were significantly different (p<0.05) for all the foodstuffs observed; however, the color produced by each color component is likely very similar visually. Further development of the CK2.1 prototype is being done to provide a cheap and practical color detector.

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Study on Color Analyzer based on the Multiplexing of TCS3200 Color Sensor and Microcontroller

Cited by 12 publications

References 1 publication

Solar panel surface dirt detection and removal based on arduino color recognition

Solar panel surface dirt detection and removal based on arduino color recognition

Designing, Optimizing, and Validating a Low-Cost, Multi-Purpose, Automatic System-Based RGB Color Sensor for Sorting Fruits

Colorimeter design for dry food-products inspection using TCS3200 sensor and Arduino Mega-2560

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