This paper proposes a structure health monitoring device (HMD) with using three 1-axis accelerometers, microprocessor, analog to digital converter (ADC), and data logger for long span bridge. The proposed monitoring system achieves the features of low cost and data synchronization of three 1-axis accelerometers. Furthermore, we develop a packet acquisition program to receive the sensed data and then classify it based on time and date. Compared with 3-axis accelerometer, our proposed 1-axis accelerometers based device achieves 64.3% cost saving. Besides, the optimal sensor number can be verified by our proposed equation with only 0.37% error in terms of sample rate. Therefore, with using the proposed device, the real-time diagnosis system for bridge damage monitoring can be conducted effectively.
{"title":"Structural health monitoring of bridges using cost-effective 1-axis accelerometers","authors":"Chih-Hsing Lin, Ssu-Ying Chen, Chih-Chyau Yang, Chien‐Ming Wu, Chun-Ming Huang, Chih-Ting Kuo, Yu-Da Huang","doi":"10.1109/SAS.2014.6798910","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798910","url":null,"abstract":"This paper proposes a structure health monitoring device (HMD) with using three 1-axis accelerometers, microprocessor, analog to digital converter (ADC), and data logger for long span bridge. The proposed monitoring system achieves the features of low cost and data synchronization of three 1-axis accelerometers. Furthermore, we develop a packet acquisition program to receive the sensed data and then classify it based on time and date. Compared with 3-axis accelerometer, our proposed 1-axis accelerometers based device achieves 64.3% cost saving. Besides, the optimal sensor number can be verified by our proposed equation with only 0.37% error in terms of sample rate. Therefore, with using the proposed device, the real-time diagnosis system for bridge damage monitoring can be conducted effectively.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121081957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798925
Yongwoo Jeong, Kwanwoo Yoon, KyoungHo Joung
In this work, we present a method of determining human subjects via a low-resolution thermal imaging sensor. Since the image quality of the low-resolution thermal imaging sensor could be suffering from heat signatures and recognizable patterns of human subjects are unable to be determined due to resolution issues, it is recommended to employ a probabilistic method. This paper presents how human subjects can be expressed in terms of pixel size, standard deviation, label movement, vector tracking, label lifetime and a rewarding system based on those. Various pre and post-image processing methods will be covered including background collection, Gaussian filtering, segmentation, local/global adaptive threshold and background learning.
{"title":"Probabilistic method to determine human subjects for low-resolution thermal imaging sensor","authors":"Yongwoo Jeong, Kwanwoo Yoon, KyoungHo Joung","doi":"10.1109/SAS.2014.6798925","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798925","url":null,"abstract":"In this work, we present a method of determining human subjects via a low-resolution thermal imaging sensor. Since the image quality of the low-resolution thermal imaging sensor could be suffering from heat signatures and recognizable patterns of human subjects are unable to be determined due to resolution issues, it is recommended to employ a probabilistic method. This paper presents how human subjects can be expressed in terms of pixel size, standard deviation, label movement, vector tracking, label lifetime and a rewarding system based on those. Various pre and post-image processing methods will be covered including background collection, Gaussian filtering, segmentation, local/global adaptive threshold and background learning.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125810644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798951
J. Kennedy, J. Leveneur, J. Turner, J. Futter, Grant V. M. Williams
Magnetic sensors can provide a very useful alternative for indicating the position or location of a subject and in conditions where other technologies will fail. For instance, GPS cannot accurately be used indoor and accelerometer-based systems have not yet reached the accuracy required for location after traversing long distances. In this paper we present results from a preliminary investigation aimed at determining the potential of three axes fluxgate magnetometers for personal location. Fluxgate magnetometers can display high sensitivity to magnetic fields but are limited by the properties of the core material. We discuss the potential and advantages of nanoparticle fluxguides in fluxgate magnetometers for positioning and location applications. The nanoparticles used for this study were synthesised using an arc-discharge method.
{"title":"Applications of nanoparticle-based fluxgate magnetometers for positioning and location","authors":"J. Kennedy, J. Leveneur, J. Turner, J. Futter, Grant V. M. Williams","doi":"10.1109/SAS.2014.6798951","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798951","url":null,"abstract":"Magnetic sensors can provide a very useful alternative for indicating the position or location of a subject and in conditions where other technologies will fail. For instance, GPS cannot accurately be used indoor and accelerometer-based systems have not yet reached the accuracy required for location after traversing long distances. In this paper we present results from a preliminary investigation aimed at determining the potential of three axes fluxgate magnetometers for personal location. Fluxgate magnetometers can display high sensitivity to magnetic fields but are limited by the properties of the core material. We discuss the potential and advantages of nanoparticle fluxguides in fluxgate magnetometers for positioning and location applications. The nanoparticles used for this study were synthesised using an arc-discharge method.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130733600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798938
J. Christie, I. Platt
Dependence on water is pervasive in agriculture, affecting growth, harvesting, processing and storage of the products of the land. A great many sensors exist for measurement of water distribution, flow and quality, but we focus here on the water content of produce. Moisture content (M.C.) is a key parameter affecting the properties of commercially important products such as foods, cellulosics (e.g. wood products), textiles and a host of other miscellaneous materials. The common understanding of “moisture content” is the water content of a material, usually a solid such as wood or bread. But behind this apparent simplicity lies surprising complexity. The question, “What is moisture content and what are our sensors measuring?” is not easily answered, and there exists a plethora of different, commonly incompatible, measurement methods. In this paper we examine the strengths and weaknesses of some common commercial and laboratory measurement methods and then focus on the prospects for a universal physical definition of moisture content so that sensors can be tailored to give results most pertinent to the produce being measured.
{"title":"Moisture content: What is it and how can it be measured?","authors":"J. Christie, I. Platt","doi":"10.1109/SAS.2014.6798938","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798938","url":null,"abstract":"Dependence on water is pervasive in agriculture, affecting growth, harvesting, processing and storage of the products of the land. A great many sensors exist for measurement of water distribution, flow and quality, but we focus here on the water content of produce. Moisture content (M.C.) is a key parameter affecting the properties of commercially important products such as foods, cellulosics (e.g. wood products), textiles and a host of other miscellaneous materials. The common understanding of “moisture content” is the water content of a material, usually a solid such as wood or bread. But behind this apparent simplicity lies surprising complexity. The question, “What is moisture content and what are our sensors measuring?” is not easily answered, and there exists a plethora of different, commonly incompatible, measurement methods. In this paper we examine the strengths and weaknesses of some common commercial and laboratory measurement methods and then focus on the prospects for a universal physical definition of moisture content so that sensors can be tailored to give results most pertinent to the produce being measured.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130466913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798980
T. Edeler, S. Hussmann, F. Knoll
Time-of-flight (Tof) range imaging is a new suitable choice for measurement and modeling in many different applications such as robotics, machine vision, medical imaging, multimedia and so forth. But due to the technology's relatively new appearance on the market the knowledge of its capabilities is very low. This paper presents an uncertainty analysis for optical Tof sensors based on a four-phase-shift algorithm for range value calculation. The measurement uncertainty indicates the interval of the values that the quantity to be measured (in this paper range information) may assume, after all systematic biases have been corrected. The uncertainty analysis is evaluated by simulation. At the end of the paper the results are discussed.
{"title":"Uncertainty analysis for optical time-of-flight sensors based on four-phase-shift range calculation","authors":"T. Edeler, S. Hussmann, F. Knoll","doi":"10.1109/SAS.2014.6798980","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798980","url":null,"abstract":"Time-of-flight (Tof) range imaging is a new suitable choice for measurement and modeling in many different applications such as robotics, machine vision, medical imaging, multimedia and so forth. But due to the technology's relatively new appearance on the market the knowledge of its capabilities is very low. This paper presents an uncertainty analysis for optical Tof sensors based on a four-phase-shift algorithm for range value calculation. The measurement uncertainty indicates the interval of the values that the quantity to be measured (in this paper range information) may assume, after all systematic biases have been corrected. The uncertainty analysis is evaluated by simulation. At the end of the paper the results are discussed.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115139898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798942
H. Kumar, K. Singh, Neeru Sood, Anuj Kumar, R. Mittal
Micro Hotplate (MHP) is one of the main components in micro-sensors, especially in gas sensors. The metal oxide gas sensors utilize the properties of surface adsorption to detect changes in resistance as a function of varying concentration of different gases. To detect the resistive changes, the temperature must be in the requisite temperature range over the heater area. Hence, the sensitivity and response time of the sensor are dependent on the operating temperature of the MHP. Making proper design is of critical importance. In this paper, design and simulation of uniform temperature MHP has been investigated which is best suitable for sensing multiple gases by using array of MHP to get the better sensitivity and better selectivity. So, by improving sensor properties this system would be advanced one. If there is mixture of gases present at the same time then there is a need of this type of gas sensing system. The designing and simulations have been done using the COMSOL 4.2a Multiphysics. MHP also has been the subject of great interest owing to their extensive applications in Bio Sensors for detection of environmental mycobacteria, Toxin detection and other micro-systems.
{"title":"Design and simulation of a Micro Hotplate for MEMS based integrated gas sensing system","authors":"H. Kumar, K. Singh, Neeru Sood, Anuj Kumar, R. Mittal","doi":"10.1109/SAS.2014.6798942","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798942","url":null,"abstract":"Micro Hotplate (MHP) is one of the main components in micro-sensors, especially in gas sensors. The metal oxide gas sensors utilize the properties of surface adsorption to detect changes in resistance as a function of varying concentration of different gases. To detect the resistive changes, the temperature must be in the requisite temperature range over the heater area. Hence, the sensitivity and response time of the sensor are dependent on the operating temperature of the MHP. Making proper design is of critical importance. In this paper, design and simulation of uniform temperature MHP has been investigated which is best suitable for sensing multiple gases by using array of MHP to get the better sensitivity and better selectivity. So, by improving sensor properties this system would be advanced one. If there is mixture of gases present at the same time then there is a need of this type of gas sensing system. The designing and simulations have been done using the COMSOL 4.2a Multiphysics. MHP also has been the subject of great interest owing to their extensive applications in Bio Sensors for detection of environmental mycobacteria, Toxin detection and other micro-systems.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114894521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798937
I. Platt, I. Woodhead, A. Tan, Sean Richards, M. Hagedorn
A major challenge with RFID tags is to obtain their coordinates in the cost effective manner that makes them so attractive in the first place. For example, adapting well known radar methods for coordinate registration will increase the RFID system complexity and thus cost and maintenance considerably. In this paper we develop a system to determine the location of RFID tags using RSS (Received Signal Strength) measurements between tags and the reader to estimate their position. Tag positioning with this system can be made with a single portable reader without the need for triangulation. The WSN (Wireless Sensor Network) is treated as an optimisation problem where relative positioning is found using a MCMC (Markov Chain Monte Carlo) technique. Simulations show that using this process it is possible to improve estimates for tag location at long ranges without major modification to currently available systems.
{"title":"RFID coordinate registration for agricultural process sensing","authors":"I. Platt, I. Woodhead, A. Tan, Sean Richards, M. Hagedorn","doi":"10.1109/SAS.2014.6798937","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798937","url":null,"abstract":"A major challenge with RFID tags is to obtain their coordinates in the cost effective manner that makes them so attractive in the first place. For example, adapting well known radar methods for coordinate registration will increase the RFID system complexity and thus cost and maintenance considerably. In this paper we develop a system to determine the location of RFID tags using RSS (Received Signal Strength) measurements between tags and the reader to estimate their position. Tag positioning with this system can be made with a single portable reader without the need for triangulation. The WSN (Wireless Sensor Network) is treated as an optimisation problem where relative positioning is found using a MCMC (Markov Chain Monte Carlo) technique. Simulations show that using this process it is possible to improve estimates for tag location at long ranges without major modification to currently available systems.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798973
A. Noda, M. Hirano, Y. Yamakawa, M. Ishikawa
This paper presents a networked vision system for tracking high-speed objects moving across multiple cameras' fields of view. Tracking vehicles that travel along highway is one of the potential applications, and the vehicles can be continuously tracked from the entrance to the exit without being lost. Such a system can be used for surveillance and analysis of traffic congestions/accidents. Each vehicle passes a large number of cameras at high speed, one ofter another. Higher frame rate and faster data communication are desired for reliable target tracking and system scalability. We developed a prototype system that captures the moving vehicle with 1000 frames-per-second and that shares the small feature data only between a pair of adjacent cameras. A 1/10-scale vehicle moving across two cameras at 2500 mm/s ≈ 9 km/h was successfully tracked by the experimental system. Tracking a laser pointer spot moving at faster than 100 km/h on the floor is also demonstrated.
{"title":"A networked high-speed vision system for vehicle tracking","authors":"A. Noda, M. Hirano, Y. Yamakawa, M. Ishikawa","doi":"10.1109/SAS.2014.6798973","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798973","url":null,"abstract":"This paper presents a networked vision system for tracking high-speed objects moving across multiple cameras' fields of view. Tracking vehicles that travel along highway is one of the potential applications, and the vehicles can be continuously tracked from the entrance to the exit without being lost. Such a system can be used for surveillance and analysis of traffic congestions/accidents. Each vehicle passes a large number of cameras at high speed, one ofter another. Higher frame rate and faster data communication are desired for reliable target tracking and system scalability. We developed a prototype system that captures the moving vehicle with 1000 frames-per-second and that shares the small feature data only between a pair of adjacent cameras. A 1/10-scale vehicle moving across two cameras at 2500 mm/s ≈ 9 km/h was successfully tracked by the experimental system. Tracking a laser pointer spot moving at faster than 100 km/h on the floor is also demonstrated.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798922
C. M. D. Dominicis, A. Depari, A. Flammini, S. Rinaldi, E. Sisinni, A. Vezzoli
Today, the broad proliferation of Smartphones and Tablets has determined a wide availability of software applications for numerous purposes. Thanks to this, Smartphones are now essential devices for many aspects of everyday life and not just advanced mobile phone terminals. The presence of powerful processing units, embedded sensors as well as the availability of many standard communication interfaces has recently attracted the interest of the scientific community. Several projects based on Smartphone systems have been proposed in different fields and many more application scenarios are being explored. A critical aspect still unresolved is the possibility of acquiring external information, such as data from other sensors. Due to their nature of consumer devices, Smartphones provide digital and high level communication interfaces, such as USB and Bluetooth. Sensor interface is therefore possible if a suitable front-end able to digitize sensor data and to handle the communication with the Smartphone is employed. In order to lower the complexity and the cost of the front-end as well as to reduce its power consumption, an effective method for the acquisition of external sensor signals through the Smartphone audio input is proposed in this paper. As a proof of concept, a sensor system composed by a photoplethysmographic sensor for cardiac signal monitoring and a pair of electrodes for tissue impedance estimation has been used. Specific software routines for Android operating system have been developed to process the acquired sensor signals providing visualization, data storage and simple data analysis, and thus demonstrating the feasibility of the proposed approach.
{"title":"Acquisition and elaboration of cardiac signal in android Smartphone devices","authors":"C. M. D. Dominicis, A. Depari, A. Flammini, S. Rinaldi, E. Sisinni, A. Vezzoli","doi":"10.1109/SAS.2014.6798922","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798922","url":null,"abstract":"Today, the broad proliferation of Smartphones and Tablets has determined a wide availability of software applications for numerous purposes. Thanks to this, Smartphones are now essential devices for many aspects of everyday life and not just advanced mobile phone terminals. The presence of powerful processing units, embedded sensors as well as the availability of many standard communication interfaces has recently attracted the interest of the scientific community. Several projects based on Smartphone systems have been proposed in different fields and many more application scenarios are being explored. A critical aspect still unresolved is the possibility of acquiring external information, such as data from other sensors. Due to their nature of consumer devices, Smartphones provide digital and high level communication interfaces, such as USB and Bluetooth. Sensor interface is therefore possible if a suitable front-end able to digitize sensor data and to handle the communication with the Smartphone is employed. In order to lower the complexity and the cost of the front-end as well as to reduce its power consumption, an effective method for the acquisition of external sensor signals through the Smartphone audio input is proposed in this paper. As a proof of concept, a sensor system composed by a photoplethysmographic sensor for cardiac signal monitoring and a pair of electrodes for tissue impedance estimation has been used. Specific software routines for Android operating system have been developed to process the acquired sensor signals providing visualization, data storage and simple data analysis, and thus demonstrating the feasibility of the proposed approach.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130543974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-04-17DOI: 10.1109/SAS.2014.6798930
T. Sun, Jia-Hao Li, H. Shieh, L. Kang, Yi-Chuan Lu, Teng-Yi Wang
Considered that the dual band sensor system is the most popular design at present, this study discussed the design of a dual-band hybrid array readout circuit. The direct injection circuit structure was used in the unit pixel. The design, simulation, and layout were conducted in the 40um×40um unit pixel to complete middle and long waveband signal readouts, in order to achieve one sensor unit with two sensor modes. The readout circuit chip adopted TSMC 0.35um 2P4M CMOS 5V to design a 16×12 array readout circuit, with an input current range of the measured current at 1.9pA to 50 nA, an adjustable integration time, a maximum frame rate of 110Hz, the output swing of the chip signal of 2V, the maximum operating chip frequency of 3MHz, power dissipation of 18mW, system noise voltage Vrms of 0.68mV, and signal-noise ratio of 69dB. Finally, the tested chip was used to connect the detection system proxy board and digital signal board, and digital signal processing video through front-end filters and analog to digital converter, in order to complete signal conversion and digital signal processing. With the digital control signal provided by the signal board and signal capture, the back-end digital signal was processed and imaged on the screen. The readout circuit chip connected the signal proxy board for testing. The overall system resolution reached 10 bit.
{"title":"Design and implementation of array readout integrated circuit and image system for current mode sensors","authors":"T. Sun, Jia-Hao Li, H. Shieh, L. Kang, Yi-Chuan Lu, Teng-Yi Wang","doi":"10.1109/SAS.2014.6798930","DOIUrl":"https://doi.org/10.1109/SAS.2014.6798930","url":null,"abstract":"Considered that the dual band sensor system is the most popular design at present, this study discussed the design of a dual-band hybrid array readout circuit. The direct injection circuit structure was used in the unit pixel. The design, simulation, and layout were conducted in the 40um×40um unit pixel to complete middle and long waveband signal readouts, in order to achieve one sensor unit with two sensor modes. The readout circuit chip adopted TSMC 0.35um 2P4M CMOS 5V to design a 16×12 array readout circuit, with an input current range of the measured current at 1.9pA to 50 nA, an adjustable integration time, a maximum frame rate of 110Hz, the output swing of the chip signal of 2V, the maximum operating chip frequency of 3MHz, power dissipation of 18mW, system noise voltage Vrms of 0.68mV, and signal-noise ratio of 69dB. Finally, the tested chip was used to connect the detection system proxy board and digital signal board, and digital signal processing video through front-end filters and analog to digital converter, in order to complete signal conversion and digital signal processing. With the digital control signal provided by the signal board and signal capture, the back-end digital signal was processed and imaged on the screen. The readout circuit chip connected the signal proxy board for testing. The overall system resolution reached 10 bit.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115095528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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