color sensor
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2022 ◽  
Vol 28 ◽  
pp. e00461
Author(s):  
Alvaro José Gomes de Faria ◽  
Sérgio Henrique Godinho Silva ◽  
Renata Andrade ◽  
Marcelo Mancini ◽  
Leônidas Carrijo Azevedo Melo ◽  
...  

2022 ◽  
Vol 1211 (1) ◽  
pp. 012022
Author(s):  
A A Valke ◽  
D G Lobov ◽  
A G Shkaev

Abstract Contactless thermal control tools play an important role in solving the high-temperature technological processes improving energy efficiency problems. In order to create such controls, the authors analyzed the developing possibility of spectral ratio high-temperature pyrometer using a multispectral radiation receiver (color sensor) TCS34725. In the paper this receiver application coefficients are determined, signals ratio graphs in different spectral intervals on temperature are given for two applications: without additional filtration of the control object radiation infrared component and using an opaque in the infrared spectrum part external filter.


2021 ◽  
Vol 5 (2) ◽  
pp. 52-60
Author(s):  
Haris Isyanto ◽  
Jumail Jumail ◽  
Rahayu Rahayu ◽  
Nofian Firmansyah

Based on data published by the Ministry of Living Environment and Forestry in 2020, Indonesia produces at least 93,200 tons of waste per day in various types of composition or around 34 million tons of waste per year. From the collection of waste, it could be used as compost fertilizer which is taken from leaf waste. From these problems, a device was designed that could monitor the decomposition process of organic waste into compost fertilizer. This device is equipped with a temperature sensor, humidity sensor, sensor of soil pH, soil moisture sensor, and color sensor to monitor the composting fertilizer process. The device could also detect plant growth as an indication that the compost fertilizer made is in good condition. Our device was used on the Internet of Things (IoT) and the blynk application as a monitoring application. From the test results, the temperature sensor's accuracy is 98.2%, the humidity sensor is 96.1%, the soil pH sensor is 95.26%, the soil moisture sensor is 98.55%, and the color sensor successfully detects the results of plant growth well. The design of this device is expected to invite the public to be wiser in sorting waste and using it for the surrounding environment.


2021 ◽  
pp. 1060-1072
Author(s):  
Zhenwu Wan ◽  
Haifeng Luo ◽  
Huaixing Wang ◽  
Liang Huang
Keyword(s):  

Author(s):  
Shreya Malkurthi ◽  
Kirthi Vignan Reddy Yellakonda ◽  
Anushka Tiwari ◽  
Aftab M. Hussain

2021 ◽  
Vol 15 (1) ◽  
pp. 38-42
Author(s):  
Roland Osszián Józsa ◽  
Timotei István Erdei ◽  
Tibor Péter Kapusi ◽  
Szabolcs Tóth ◽  
Géza Husi

Abstract The main goal of the project was to carry out a handling task using a color sensor and thermal sensor, as well as an industrial robotic unit. The selection by color made it possible to represent the sub-process of the production of a sample, where each color can be matched to the corresponding or rejected product. The function of the thermal sensor is to show the delay function for the pro-cess, which occurs when the product does not reach a point in the process at the wrong tempera-ture and needs cooling between the two workflows. The thermal sensor and color sensor were pro-grammed using the ATmega microprocessor, while the manipulator was controlled with industrial PLC. The completed project will serve educational purposes in training for students.


2021 ◽  
Vol 4 (1) ◽  
pp. 51-64
Author(s):  
Aaron Hortobágyi ◽  
Elena Pivarčiová

Abstract This article is focused on enhancement of HW/SW device by cooperation with a smartphone interface. The device was a programmable Lego Mindstorms Education EV3 set in the form of a robot designed to solve the Rubik’s Cube. The aim of the research was to replace the built-in color sensor with a camera that would allow the cube scanning process to be accelerated. Two approaches were chosen to meet the goal: the NXTcam camera, accessible as an accessory to expand the set, and the camera built into the smartphone. The use of NXTcam led to better scan time, but this result was prone to external influences. The camera on the smartphone sped up the scanning process to 57% of the original time. The impact of external factors on the outcome was significantly lower, compared to NXTcam. In the experiment, the cube solving process was observed in natural light, with addition distractive light source and in artificial light.


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