scholarly journals MP-9S Industrial Manipulator Handling and Scrapping Tasks in Industrial Environments

2021 ◽  
Vol 15 (1) ◽  
pp. 38-42
Author(s):  
Roland Osszián Józsa ◽  
Timotei István Erdei ◽  
Tibor Péter Kapusi ◽  
Szabolcs Tóth ◽  
Géza Husi
Keyword(s):  
Thermal Sensor ◽  
Delay Function ◽  
Industrial Manipulator ◽  
Color Sensor ◽  
Industrial Environments

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.

Heat Flow Measurement by Force and Thermal Sensor Stick with Nerve-net LSI Chip

2019 ◽  
Vol 139 (8) ◽  
pp. 258-264
Author(s):  
Hayato Tsuchiya ◽  
Yusuke Suganuma ◽  
Masanori Muroyama ◽  
Takahiro Nakayama ◽  
Yutaka Nonomura
Keyword(s):  
Heat Flow ◽  
Flow Measurement ◽  
Thermal Sensor ◽  
Nerve Net

A New Scanning Thermal Microprobe

1997 ◽  
Vol 503 ◽  
Author(s):  
Yongxia Zhang ◽  
Yanwei Zhang ◽  
Juliana Blaser ◽  
T. S. Sriiram ◽  
R. B. Marcus
Keyword(s):  
Thin Film ◽  
High Resolution ◽  
Thermal Response ◽  
Temperature Sensing ◽  
Thermal Sensor ◽  
Atomic Force ◽  
Thin Film Thermocouple ◽  
Processing Steps ◽  
Thermocouple Junction

ABSTRACTA thermal microprobe has been designed and built for high resolution temperature sensing. The thermal sensor is a thin-film thermocouple junction at the tip of an Atomic Force Microprobe (AFM) silicon probe needle. Only wafer-stage processing steps are used for the fabrication. The thermal response over the range 25–s 4.5–rovolts per degree C and is linear.

Thermal sensor calibration using non-integer system identification

2008 ◽  
Vol 42 (6-8) ◽  
pp. 953-964
Author(s):  
Stefan Löhle ◽  
Jean-Luc Battaglia ◽  
Jean-Christophe Batsale
Keyword(s):  
System Identification ◽  
Sensor Calibration ◽  
Thermal Sensor

Contactless Core-Temperature Monitoring by Infrared Thermal Sensor using Mean Absolute Error Analysis

2020 ◽  
Vol 15 ◽  
Author(s):  
Fahad Layth Malallah ◽  
Baraa T. Shareef ◽  
Mustafah Ghanem Saeed ◽  
Khaled N. Yasen
Keyword(s):  
Body Temperature ◽  
Embedded System ◽  
Core Temperature ◽  
Integrated Circuit ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Thermal Sensor ◽  
Human Face ◽  
Body Contact ◽  
Arduino Microcontroller

Aims: Normally, the temperature increase of individuals leads to the possibility of getting a type of disease, which might be risky to other people such as coronavirus. Traditional techniques for tracking core-temperature require body contact either by oral, rectum, axillary, or tympanic, which are unfortunately considered intrusive in nature as well as causes of contagion. Therefore, sensing human core-temperature non-intrusively and remotely is the objective of this research. Background: Nowadays, increasing level of medical sectors is a necessary targets for the research operations, especially with the development of the integrated circuit, sensors and cameras that made the normal life easier. Methods: The solution is by proposing an embedded system consisting of the Arduino microcontroller, which is trained with a model of Mean Absolute Error (MAE) analysis for predicting Contactless Core-Temperature (CCT), which is the real body temperature. Results: The Arduino is connected to an Infrared-Thermal sensor named MLX90614 as input signal, and connected to the LCD to display the CCT. To evaluate the proposed system, experiments are conducted by participating 31-subject sensing contactless temperature from the three face sub-regions: forehead, nose, and cheek. Conclusion: Experimental results approved that CCT can be measured remotely depending on the human face, in which the forehead region is better to be dependent, rather than nose and cheek regions for CCT measurement due to the smallest

scholarly journals A Digital Improvement—Trimming a Digital Temperature Sensor with EEPROM Reprogrammable Fuses

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1700
Author(s):  
Anca Mihaela Vasile (Dragan) ◽  
Alina Negut ◽  
Adrian Tache ◽  
Gheorghe Brezeanu
Keyword(s):  
Standard Deviation ◽  
Power Supply ◽  
Temperature Sensor ◽  
Experimental Results ◽  
Temperature Error ◽  
Thermal Sensor ◽  
Memory Cells ◽  
Temperature Range ◽  
Read Only Memory ◽  
Digital Temperature Sensor

An EEPROM (electrically erasable programmable read-only memory) reprogrammable fuse for trimming a digital temperature sensor is designed in a 0.18-µm CMOS EEPROM. The fuse uses EEPROM memory cells, which allow multiple programming cycles by modifying the stored data on the digital trim codes applied to the thermal sensor. By reprogramming the fuse, the temperature sensor can be adjusted with an increased trim variation in order to achieve higher accuracy. Experimental results for the trimmed digital sensor showed a +1.5/−1.0 ℃ inaccuracy in the temperature range of −20 to 125 ℃ for 25 trimmed DTS samples at 1.8 V by one-point calibration. Furthermore, an average mean of 0.40 ℃ and a standard deviation of 0.70 ℃ temperature error were obtained in the same temperature range for power supply voltages from 1.7 to 1.9 V. Thus, the digital sensor exhibits similar performances for the entire power supply range of 1.7 to 3.6 V.

scholarly journals Towards human distance estimation using a thermal sensor array

2021 ◽  
Author(s):  
Abdallah Naser ◽  
Ahmad Lotfi ◽  
Joni Zhong
Keyword(s):  
High Resolution ◽  
Independent Living ◽  
Sensor Array ◽  
Distance Estimation ◽  
Thermal Sensor ◽  
Indoor Environments ◽  
Contagious Diseases ◽  
Novel Approach ◽  
Thermal Cameras ◽  
Distance Estimator

AbstractHuman distance estimation is essential in many vital applications, specifically, in human localisation-based systems, such as independent living for older adults applications, and making places safe through preventing the transmission of contagious diseases through social distancing alert systems. Previous approaches to estimate the distance between a reference sensing device and human subject relied on visual or high-resolution thermal cameras. However, regular visual cameras have serious concerns about people’s privacy in indoor environments, and high-resolution thermal cameras are costly. This paper proposes a novel approach to estimate the distance for indoor human-centred applications using a low-resolution thermal sensor array. The proposed system presents a discrete and adaptive sensor placement continuous distance estimators using classification techniques and artificial neural network, respectively. It also proposes a real-time distance-based field of view classification through a novel image-based feature. Besides, the paper proposes a transfer application to the proposed continuous distance estimator to measure human height. The proposed approach is evaluated in different indoor environments, sensor placements with different participants. This paper shows a median overall error of $$\pm 0.2$$ ± 0.2  m in continuous-based estimation and $$96.8\%$$ 96.8 % achieved-accuracy in discrete distance estimation.

Enabling and Optimizing MACsec for Industrial Environments

2020 ◽  
pp. 1-1
Author(s):  
Tim Lackorzynski ◽  
Gregor Garten ◽  
Jan Sonke Huster ◽  
Stefan Kopsell ◽  
Hermann Hartig
Keyword(s):  
Industrial Environments
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