Relevant bibliographies by topics / Color sensor TCS3200

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Academic literature on the topic 'Color sensor TCS3200'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Color sensor TCS3200"

1

Risfendra, Risfendra, and M. Harun Rosyid. "Color Sensor Application on Electric Drives." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 2, no. 1 (2020): 1–10. http://dx.doi.org/10.46574/motivection.v2i1.36.

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TCS3200 is one type of sensor that able to identify various types of colors. Its ability to distinguish colors can be used to identify and select various types of objects. To find out the benefits of the TCS300 sensor, a study was made to know implement the TCS3200 sensor function on several electric drive and devices. The TCS3200 sensor application will be made using a 5V DC relay (to start or stop the electric drive) and several electronic devices. This tool uses media in the form of color cards as input data. The card will be read by the TCS3200 sensor, after that the reading data will be received by the Atmega8535 microcontroller, then the results will be displayed on several application devices such as relays, LCD, speaker and LED as outputs. After doing research, the TCS3200 sensor can detect the color cards that have been provided. Based on the program that has been compiled, the Sensor is able to distinguish 9 types of colors, set the switch of 3 electric drive and displaying information of color.
 TCS3200 adalah salah satu jenis sensor yang mampu mengidentifikasi berbagai jenis warna. Kemampuannya dalam membedakan warna dapat digunakan sebagai pemilih dan pengendali kerja pada beberapa perangkat kelistrikan. Untuk mengetahui manfaat sensor TCS300, sebuah penelitian dilakukan guna mengetahui fungsi sensor TCS3200 pada beberapa penggerak dan perangkat listrik. Pada penelitian ini dibuat sebuah aplikasi sensor TCS3200 dalam bentuk perangkat relay DC 5V (untuk memulai atau menghentikan penggerak listrik) dan beberapa perangkat elektronik. Alat ini menggunakan media dalam bentuk kartu warna sebagai input data. Kartu akan dibaca oleh sensor TCS3200, setelah itu data pembacaan akan diterima oleh mikrokontroler Atmega8535, kemudian hasilnya akan ditampilkan pada beberapa perangkat aplikasi seperti relay, LCD, speaker dan LED sebagai output. Sensor akan bekerja membaca warna dalam jarak 2,5 cm dari objek warna. Setelah melakukan penelitian, sensor TCS3200 dapat mendeteksi kartu warna yang telah disediakan. Berdasarkan program yang telah disusun, Sensor mampu membedakan 9 jenis warna dan membutuhkan waktu 1 - 2 detik untuk mengaktifkan output setelah input warna diberikan.
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Suhud, Khairi, Sukoma Sukoma, Sitti Saleha, and Muhammad Syukri Surbakti. "Development of TCS3200 Color Sensor Based on Arduino Uno and Its Application in Determining Borax Levels in Food." Indonesian Journal of Fundamental and Applied Chemistry 9, no. 2 (2024): 74–81. http://dx.doi.org/10.24845/ijfac.v9.i2.74.

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A color scanner application using the TCS3200 sensor, Arduino Uno microcomputer with IDE Software Program, a black box container, and a 12x2 matrix display has been designed, built, and tested. This sensor is employed to measure the level of borax in food items such as meatballs, tofu, and noodles in Banda Aceh. The obtained results are then compared with the measurement results of the Standard Ultraviolet-Visible Spectrophotometry (UV-Vis) method. Samples were prepared using centrifuge technique and the filtrate was collected. Subsequently, optical samples were prepared using dried filter paper with curcumin and scanned with the TCS3200 color sensor. Sample collection was carried out at Lamnyong Market, Lamdingin Market, Seutui Market, Suzuya Mall, and Ulee Kareng Market. Sample identification was performed using qualitative analysis, namely the flame test, and quantitative analysis using the TCS3200 color sensor based on Arduino Uno. The results of the quantitative analysis obtained from the TCS3200 color sensor compared with the ultraviolet-visible spectrophotometry (UV-Vis) method as the standard method indicate that the samples of meatballs, tofu, and noodles do not contain the harmful preservative borax. The positive control for borax using the TCS3200 color sensor is 56.8 ppm, while using the UV-Vis spectrophotometer it is 57.6 ppm. The t-test results from both methods show consistency between the TCS3200 color sensor measurement method and UV-Vis spectrophotometer
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Suhud, Khairi, Dian Utari, Muhammad Syukri Surbakti, et al. "Development of TCS3200 Color Sensor Based on Arduino Uno Microcontroller for Determination of Capsaicin Level in Sauces." Sains Malaysiana 53, no. 12 (2024): 3339–48. https://doi.org/10.17576/jsm-2024-5312-17.

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A color sensor has been designed to measure the capsaicin level in commercial sauces. This system is designed using a TCS2300 color sensor as an input, and an Arduino Uno microcontroller with Integrated Development Environment (IDE) software as signal conditioning and signal processing. The measurement result will be compared to the standard Ultraviolet-Visible (UV-Vis) spectrophotometer method. The sauce samples were taken using a sampling technique, namely eight samples of sauces circulating in the city of Banda Aceh. The result showed that the levels of capsaicin using the TCS3200 color sensor and UV-Vis spectrophotometer ranged from 5.39 to 22.42 mg/L and 5.58 to 22.64 mg/L, respectively. The linearity obtained in the concentration range of 5.25 mg/L shows a linear calibration curve using the TCS3200 color sensor (R2 = 0.9961) and UV-Vis Spectrophotometer (R2 = 0.9973). Accuracy (% recovery) for the TCS3200 color sensor and UV-Vis spectrophotometer ranged from 98.94 to 106.63%, and 98.13 to 110.2% mg/L, respectively. In the case of interday and intraday relative standard deviation has not more than 2%. Based on the t-test assessment, it shows that the TCS3200 color sensor has no differences statistically in results with UV-Vis Spectrophotometer. These results describe that the TCS3200 color sensor can be an alternative for analyses of capsaicin in sauce samples.
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Muhammad Ferdiyansyah, Yoga Putra Pratama, and Emmidia Djonaedi. "Analisis Pengaruh Jarak dan Kondisi Pencahayaan terhadap Alat Deteksi Warna dengan Sensor TCS3200 Berbasis Arduino." JURAL RISET RUMPUN ILMU TEKNIK 4, no. 2 (2025): 88–96. https://doi.org/10.55606/jurritek.v4i2.5556.

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The TCS3200 color sensor demonstrates limited accuracy under certain environmental conditions, particularly in relation to the distance between the sensor and the object, as well as the surrounding lighting. This study aims to investigate the effects of distance variation (0 cm, 2 cm, 4 cm, and 6 cm) and lighting conditions (bright and dark) on color detection using the TCS3200 sensor integrated with an Arduino microcontroller. An experimental method was employed, with color data converted into the CIELAB color space and analyzed using Delta E as the deviation indicator. The results indicate that the most accurate color readings occur at a distance of 0 cm, where the sensor receives maximum reflected light. Furthermore, measurements taken under dark conditions exhibit more consistent results compared to those under bright lighting, which tends to introduce optical interference. It can be concluded that the TCS3200 sensor performs best at close range and under controlled lighting conditions to ensure accurate and reliable color detection.
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Vicananda, Ladayan Pradana, Saptiana Nur Prahasti, Khakam Ma’ruf, Rizal Justian Setiawan, and Darmono Darmono. "Design and Implementation of a Candy Color Sorter Device using Microcontroller-Based Color Sensor TCS3200." Journal of Electrical Technology UMY 8, no. 1 (2024): 1–8. https://doi.org/10.18196/jet.v8i1.20346.

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The purpose of this research is to design and implement a candy color sorter device using a microcontroller-based TCS3200 color sensor. This technology can be applied in the confectionery and fruit businesses for color-based sorting. The method used is an experimental approach that begins with a literature study, followed by hardware and software design, and device testing. The research results show that the candy sorter device was successfully designed and implemented. This device is capable of sorting candies based on red, green, and blue colors with optimal sensor detection levels. The novelty value of this research is the development of an automatic candy sorter device based on the TCS3200 color sensor, which can help reduce human workload and increase sorting process efficiency in the confectionery industry.
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Pratama, Bayu rizki, and Jaka persada Sembiring. "Rancang Bangun Alat Pemilah Biji Kopi Berdasarkan Kualitas Buah Menggunakan Sensor TCS3200." Electrician : Jurnal Rekayasa dan Teknologi Elektro 18, no. 2 (2024): 104–11. http://dx.doi.org/10.23960/elc.v18n2.2553.

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Coffee fruit is a trade commodity that has been known for centuries. Coffee fruit can be processed into a delicious drink, but when coffee farmers harvest at the same time, farmers combine immature and ripe coffee fruit in one container, this results in a decrease in the quality of the taste. significant. In this research, the fuzzy Sugeno method was used to determine the classification of ripe, semi-ripe and ripe coffee fruit. This tool uses an Arduino Uno Atmega328 microcontroller to control the TCS3200 color sensor as a reader for the color of the coffee fruit and uses a servo to sort the coffee fruit according to quality. In testing the automatic control system for separating coffee beans based on color using the TCS3200 Color Sensor, it was successful in directing the coffee beans to a predetermined container. Keywords— TCS3200 Sensor, Arduino ATmega328P,Coffee,Color,Quality,Fuzzy sugeno.
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Wati, Rani Laras, Endang Rosdiana, and Valentina Adimurti Kusumaningtyas. "Rancang Bangun Pendeteksi Kadar Formalin pada Mie Basah Menggunakan Sensor Warna TCS3200." Jurnal Sains dan Kesehatan 3, no. 5 (2021): 727–36. http://dx.doi.org/10.25026/jsk.v3i5.831.

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Wet noodles have a short shelf life because they are spoiled more quickly by microorganisms. Therefore, some irresponsible wet noodle producers add formalin so that the noodles can last longer. However, formalin is a substance that is prohibited from being used because it is dangerous to health. In this research, an instrument has been made that can detect formalin levels in wet noodles which have formalin concentrations of 0 ppm, 40 ppm, 95 ppm and 150 ppm. The instrument consists of a TCS3200 color sensor and an ATmega328P microcontroller. The color detected by the TCS3200 sensor is the color from mixing the formalin wet noodle sample withreagent schiff's. Furthermore, the sample will be selected by the instrument based on the RGB color value detected by the TCS3200 color sensor. The test results obtained the reliability of the instrument in selecting the sample of formalin wet noodles with a concentration of 0 ppm worth 92.5%, 40 ppm worth 95%, 95 ppm worth 97.5% and 150 ppm worth 100%.
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Surbakti, Muhammad Syukri, Muhammad Farhan, Zakaria Zakaria, et al. "Development of Arduino Uno-Based TCS3200 Color Sensor and Its Application on the Determination of Rhodamine B Level in Syrup." Indonesian Journal of Chemistry 22, no. 1 (2022): 630. http://dx.doi.org/10.22146/ijc.69214.

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The use of the notorious synthetic dye, rhodamine B, in food and beverage products has been widely reported. This application urges the need to develop an analytical method that can provide reliable rhodamine B data with an easy operational technique. Therefore, this research is aimed to develop an Arduino Uno-based TCS3200 color sensor and study its application to determine rhodamine B levels in syrup. The design of the analytical instrument included TCS3200, an Arduino Uno microcomputer, an Integrated Development Environment (IDE) software, a black box container, and a 24 × 2 matrix display screen, where samples were prepared via absorption using wool thread. With a linear range of 1–20 mg/L, our proposed colorimetric sensor had recoveries of 96.25–110.3%, which was better compared to that was obtained from the UV-vis (81.8–100.6%) method. The detection and quantification limits of the sensor were 2.766 and 8.383 mg/L, respectively. The syrup samples used in this study were purchased from the local stores in Banda Aceh. Based on the proposed TCS3200 color sensor, the highest rhodamine B concentration from the syrup sample was 16.74 mg/L. The t-test analysis in this study revealed that the Rhodamine B levels quantified using the newly developed TCS3200 color sensor were not statistically or significantly different from the UV-Vis spectrophotometer method.
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Bardani, Ahmad Imam, and Nuryono Satya Widodo. "Deteksi Zona pada KRSTI dengan Sensor Warna TCS3200." Buletin Ilmiah Sarjana Teknik Elektro 1, no. 2 (2019): 56. http://dx.doi.org/10.12928/biste.v1i2.955.

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Robot seni tari Lanange Jagad untuk lomba Kontes Robot Seni Tari Indonesia (KRSTI) belum mampu membedakan zona warna pada arena yang menyebabkan robot melakukan gerakan tarian yang tidak sesuai dengan tempatnya. Oleh karena itu dibutuhkan kontrol otomatisasi menggunakan sensor warna TCS3200. TCS3200 akan memperoleh komposisi RGB yang tepat menggunakan perhitungan frekuensi. Hasil yang dicapai dalam penelitian ini adalah robot seni tari Lanange Jagad dapat membedakan zona dengan memanfaatkan warna merah, biru, biru muda, hijau, dan putih dengan tingkat keberhasilan 84%. Ketika robot mendeteksi warna yang sudah ditentukan pada setiap zona, robot akan secara otomatis melakukan gerakan tari yang sudah disesuaikan dengan zona tersebut. Saat robot masuk ke zona warna berbeda maka robot akan menghentikan gerakan tari pada zona sebelumnya dan memanggil gerakan tari selanjutnya. Namun masih terdapat banyak noise saat melakukan pengujian sehingga nilai RGB yang digunakan untuk memanggil gerakan tari berubah sehingga robot tidak merespons perintah yang dimasukkan pada program. Nilai RGB yang stabil di dapatkan pada kondisi kaki robot menapak atau bersentuhan langsung dengan zona warna, nilai tersebut yang digunakan untuk pemanggilan gerakan tari.The Lanange Jagad dance robot for the Indonesian Robot Dance Contest (KRSTI) has not been able to distinguish the color zone in the arena that causes the robot to perform dance moves that are not in accordance with its place. Therefore we need automation control using the TCS3200 color sensor. TCS3200 will obtain the right RGB composition using frequency calculations. The results achieved in this study are the Lanange Jagad dance robot can distinguish zones by utilizing red, blue, light blue, green, and white with a success rate of 84%. When the robot detects the colors that have been determined in each zone, the robot will automatically perform dance moves that have been adapted to the zone. When the robot enters a different color zone, the robot will stop the dance movement in the previous zone and call the next dance movement. However, there is still a lot of noise when testing so that the RGB value used to call dance moves changes so that the robot does not respond to commands entered in the program. A stable RGB value is obtained when the robot's foot steps or comes into direct contact with the color zone, the value that is used for calling dance moves.
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Sandra, R. Damayanti, Y. Hendrawan, B. Susilo, and S. Oktavia. "Prediction of tomatoes maturity using TCS3200 color sensor." IOP Conference Series: Earth and Environmental Science 475 (May 7, 2020): 012011. http://dx.doi.org/10.1088/1755-1315/475/1/012011.

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Books on the topic "Color sensor TCS3200"

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K, Anbazhagan, and Ambika Parameswari K. Raspberry Pi: Weight and Color Sensor TCS3200, Emergency Light, Pygame Etc, . . Independently Published, 2019.

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Book chapters on the topic "Color sensor TCS3200"

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Putri, Ida Ayu Vigi Meidhyana, Wirarama Wedashwara, Ariyan Zubaidi, and I. Wayan Agus Arimbawa. "IoT Based Water Turbinity Classification Using Color Sensor TCS3200." In Proceedings of the First Mandalika International Multi-Conference on Science and Engineering 2022, MIMSE 2022 (Informatics and Computer Science). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-084-8_14.

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Wan, Zhenwu, Haifeng Luo, Huaixing Wang, and Liang Huang. "Design of a High Accuracy Color Block Sorting Robot Based on TCS3200 Color Sensor." In Proceedings of the 11th International Conference on Computer Engineering and Networks. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6554-7_117.

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Juluru, Anudeep, Shriram K. Vasudevan, and T. S. Murugesh. "Classification of Fruits Using TCS3200 Colour Sensor." In Let's Get IoT-fied! CRC Press, 2022. http://dx.doi.org/10.1201/9781003147169-19.

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Pal, Soumayadeep, Parthib Banerjee, Avrajeet Ghosh, et al. "ADVANCED ROBOTICS IN DEFENCE AND MEDICAL APPLICATIONS." In Futuristic Trends in Robotics & Automation Volume 3, Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbra1p3ch1.

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Development of Swarm Bot for Defence and Medical Application Design of Swarm bot is an initiative towards the synchronized performance of multiple bots as a total system consisting huge numbers of plain real-time bots. It is observed that an expected groupwise behavior is expressed from the interactions between the bots and the master device. The head posture movement is used to send the signal from the master device to communicate the slave devices. This methodology has come out in the field of artificial swarm intelligence, as well as the bio-inspired researches of insects and other fields in nature with the occurrence of swarm behavior. This process depends on the master-slave concept to operate the whole system. The wireless communication utilizes the SPI (Serial Peripheral Interface) protocol with radio waves in the range of 2.4-2.5 GHz. The ISM (Industrial Scientific Medical) band is used for the communication purpose. Development of Verticle Climbing Camouflage Surveillance Bot Scientists are trying to make vehicles that can move through both vertical and horizontal planes simultaneously for a long time. Moving against gravity makes it very difficult because of wheel spin in a steeply inclined surface plane. In this paper, we are dealing with the design and development of a WI-FI controlled bot that can move on both horizontal and vertical surfaces. The air suction technique is used to hold the bot on a vertically inclined surface. This paper presents the design and development of a wall climbing bot using an ESP32 CAM microcontroller. The wall climbing feature is achieved by using a 2200kv BLDC motor and 600 mm propeller. When the propeller is rotated using the BLDC motor, the propeller sucks the air underneath the robot, creating a vacuum. As a result, outside air pressure works on the robot and makes it stick to the horizontal surface. The robot`s movement is done by using 4 100 RPM dc motors. The motors are connected to the ESP32 microcontroller via motor driver L298N and can be manually controlled using any ESP32 Android/IOS mobile application. We have used the TCS3200 colour sensor and RGB LED lights to change the colour of the body as per the surroundings. The robot can be used for any surveillance purposes from general surveillance purposes to surveillance of hostile areas.
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Conference papers on the topic "Color sensor TCS3200"

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Rahman, Mushfiqur, Habib A. Hasan, Yeasin Arafat Emon, Arafat Hossain, Abu Rubayat Rokon, and Muhibul Haque Bhuyan. "Advanced Color Sorting Conveyor System Using Arduino and TCS3200 Color Sensor for Precise Color Classification." In 2025 4th International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). IEEE, 2025. https://doi.org/10.1109/icrest63960.2025.10914353.

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Panie, Gregorio Imanuel Efraim, and Achmad Benny Mutiara. "Development of Robotic Arm for Color Based Goods Sorter in Factory Using TCS3200 Sensor with a Web-Based Monitoring System." In 2018 Third International Conference on Informatics and Computing (ICIC). IEEE, 2018. http://dx.doi.org/10.1109/iac.2018.8780461.

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Mohd Khairudin, Ahmad Rafiq, Muhammad Hanif Abdul Karim, Asma Abu Samah, Dyanatasya Irwansyah, Muhammad Yunus Yakob, and Norhaslina Mat Zian. "Development of Colour Sorting Robotic Arm Using TCS3200 Sensor." In 2021 IEEE 9th Conference on Systems, Process and Control (ICSPC). IEEE, 2021. http://dx.doi.org/10.1109/icspc53359.2021.9689114.

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