Single-Chip Eye Tracker Using Smart CMOS Image Sensor Pixels

Kim, Dong-Soo; Lim, Sanghyeok; Han, Gunhee

doi:10.1007/s10470-005-4006-7

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…The automation in diverse fields are introduced due to the evolution of digitalization. This enhances the productivity in the industrial and production sectors [4]- [7]. This helps to increase the standard and quality of the equipment's.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Satish,

Sandeep,

Kapili

et al. 2023

Recent Trends in Data Science and Its Applications

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The evolution of automation and innovations helps in diverse field. This helps to create human lives much easier. It tend to produce various automatic devices. These devices must include the control system to improve the automation in the equipment. The important equipment used in our day to day life is the ceiling fan. This is the largely used equipment. The conventional system includes manual speed control. To enhance automation in the system, the proposed system is implemented to replace the conventional system with automatic speed control system. This helps to automatically control the speed of the fan based upon the surrounding temperature. This is sensed through the use of sensors. This includes pulse width modulation techniques with brushless permanent magnet DC motors and microcontroller. Here PIC microcontrollers are used for controlling and processing. Thus these techniques are employed for the automatic detection of ceiling fan. This leads in the reduction of energy consumption and reduced cost.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Satish,

Sandeep,

Kapili

et al. 2023

Recent Trends in Data Science and Its Applications

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“…Another technique, suitable for low‐power object detection, is the use of modulated markers (Rekimoto and Ayatsuka, 2000; Lee, 2008). Smart CMOS image sensors provide the ability to perform in situ signal processing on the same image capturing chip (Ni, 2005; Nishimura and Spiegel, 2005; Kim et al , 2005; Sawan et al , 2006). In Ohta et al (2003) and Ando and Kimachi (2003), a standard CMOS process is used to detect modulated markers.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous demodulation CMOS sensor for object labeling and its application in robotics

Habibi

Sayedi

2010

Industrial Robot: An International Journal

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PurposeThe purpose of this paper is to present a novel image‐labeling CMOS sensor for modulated marker detection.Design/methodology/approachAn image scene with multiple objects, each identified by a flashing light‐emitting diode (LED), is captured by the sensor. The LED's frequency is a representation of the object ID‐tag. The sensor detects and labels the objects by identifying the signal frequencies. The processing is performed in‐pixel and, since the object detection task is simplified, power dissipation is reduced. A 64×64 pixel sensor is designed in the 0.6 μm CMOS technology.FindingsSimulation results show successful object identification. At a frame rate of 250 fps the measured power consumption is 11 mW, which is less than those of the previously reported object detection solutions. The application of the presented sensor is shown in several different robotic fields such as unmanned aerial vehicles (UAVs) vision, household robots and industrial robots. It is also explained how the sensor can be used for low‐power localization and position detection of the robot vehicles.Originality/valueThe paper shows that the sensor is a suitable solution for low‐power landmark detection and robot localization.

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“…Although robust software techniques are currently available for object identification [2,3], but since complex image processing procedures are required to detect the object pattern among many other environment entities, the power dissipation is usually high. Smart CMOS image sensors provide the ability to perform low power, high speed, in situ signal processing on the same image capturing chip [4][5][6][7]. Different CMOS sensors have been presented which perform object detection based on a specific feature of the object.…”

Section: Introductionmentioning

confidence: 99%

Analysis and optimization of the asynchronous modulated light detection pixel

Habibi

2010

Analog Integr Circ Sig Process

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Detection of modulated light signals transmitted by active image markers can be used in object localization tasks and machine vision applications. The asynchronous demodulation pixel is able to detect the signal transmitted by these modulated markers. The modulated marker position in a two-dimensional pixel array can be used to identify the marker location in the field. In this paper the asynchronous demodulation pixel is analyzed and its operation is investigated in the presence of non-ideal effects such as parasitic elements, device mismatches and process variations. The effect of demodulator bias conditions and different switch pulsing techniques are examined and a modified demodulator controlling method is presented to increase the dynamic range and sensitivity of the pixel compared with the common operation schemes. The different demodulator structures are also simulated as 64 9 64 pixel array sensors using a 0.18 lm standard CMOS process and their operation is compared regarding sensitivity, filter transfer function, pixel size and power consumption.

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Single-Chip Eye Tracker Using Smart CMOS Image Sensor Pixels

Cited by 8 publications

References 19 publications

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Design and Implementation of Automatic Speed Control of Ceiling Fan through PWM Technique with Optocoupler to Reduce Energy Consumption

Asynchronous demodulation CMOS sensor for object labeling and its application in robotics

Analysis and optimization of the asynchronous modulated light detection pixel

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