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Image processing

Ute Häußler | Inka Krischke,

CMOS - drivers of image processing

CMOS technology is one of the drivers of image processing. It is now indispensable in areas such as embedded vision, the integration of image processing in robotics and automation and in the smart factory.

© Sony/Framos

It was mainly economic reasons that prompted Sony to discontinue its CCD production lines and complex CCD manufacturing in 2015. In terms of quality, CMOS sensors have already overtaken CCD technology in some areas - with low noise, high sensitivity and high frame rates, they achieve comparable or better values even for demanding applications.

The evolutionary development of CMOS sensors is based on the pixel readout mechanism. Each area sensor consists of a matrix array with photodiodes in which the incident photons are converted into electrons. In CCD sensors, the charges of the individual photodiodes are conducted via horizontal and vertical shift registers to a readout amplifier outside the active area. There, the pixel charges are read out centrally and converted to an analog voltage. CMOS technology, on the other hand, reads each pixel directly via transistors located on the pixel. The signal is converted via the read-out circuit, digitized with low noise and finally transmitted in parallel via LVDS wires (Low Voltage Differential Signaling).

Pixel structure with frontside illumination versus backside illumination: The backside illumination and microlens arrays increase the sensitivity of the CMOS sensors.

© Sony/Framos

For a long time, the decentralized readout of CMOS pixels was a disadvantage: the exact readout value at the pixel depends on the physical characteristics of the pixel-individual transistors. However, as these always exhibited slight differences in the earlier history of CMOS, a high level of 'fixed pattern noise' was generated. The increased background noise also resulted in poor sensitivity. In addition, the transistors were relatively large compared to the pixel size. The need for three transistors to realize a rolling shutter and five to six transistors for a global shutter led to a reduction in the active pixel area and thus to a significant reduction in light output. The high space requirement of the transistors was at the expense of image quality and sensitivity. For a long time, the focus of development was therefore on fast rolling shutter sensors. However, this was precisely the limitation of CMOS technology at the time and, to some extent, of image processing for machine vision applications - because industrial production and applications in the automotive sector, medical technology and many virtual reality applications require high-quality global shutter sensors without artefacts for fast-moving processes in real time and outstanding image quality.

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Global instead of rolling shutter

The decisive step for CMOS development was the combination of image capture based on the global shutter principle and significantly increased speed and image quality. With the development of the first CMOS global shutter generation and the IMX174, Sony laid the foundations for the CMOS era in the industrial sector. In contrast to the rolling shutter process, the simultaneous exposure and emptying of all pixels means that there is no time delay between the pixel lines. Fast-moving objects can be captured simultaneously with global shutter without artifacts and with high sharpness.

Based on their architecture and the parallel readout of all pixels, CMOS sensors are many times faster than conventional CCD sensors. Whereas previously the frames per second (fps) that could be achieved limited the application, very high frame rates are possible with CMOS technology; the main limitation for maximum speed is now the interfaces.

In addition, the progressive miniaturization of transistors has enabled a greatly improved ratio between sensor size and active pixel area. At the same time, the use of incident light has been maximized. This means that CMOS sensors can also be used in low-light applications. And in the opposite case, with extremely high incident light, for example in direct sunlight or reflections, CCD pixels emit excess converted electrons to their neighboring pixels (overflow) or pass them on even after exposure has already taken place. This results in negative blooming or smearing effects for image analysis. CMOS sensors, on the other hand, do not allow such effects thanks to their direct pixel readout. Technical features such as the backside illumination of the sensor and microlens arrays mounted on the chip to amplify the incident light also mean that CMOS sensors achieve higher sensitivities compared to CCD sensors.

The third CMOS generation

After Sony achieved further improvements in the pixel architecture in the second global shutter generation and implemented additional functions relevant to machine vision applications, there is one major innovation in particular in the current third generation: SLVS-EC (Scalable Low Voltage Signaling with Embedded Clock) introduces a sensor interface that meets the ever-increasing demands for resolution and speed. According to industry insiders, these sensors can achieve twice the bandwidth of the second-generation sub-LVDS-based sensors.

The first generation Sony CMOS global shutter set a first standard for the machine vision market with the IMX174. Suddenly, applications could be realized with an image quality and speed that had been unthinkable with CCD technology. With a pixel area of 5.86 µm, a very high saturation of 30,000 e- was achieved, so that the dynamic range already reached 75 dB 'despite' the still high readout noise of 5 e-. In the second generation, Sony has focused on the requirements of the machine vision sector: The additional bit depth of 8 bits requires less bandwidth, the double number of channels results in a doubling of the output speed to 9.5 Gbps. Functions such as additional trigger modes have also been integrated. With a reduced pixel size of 3.45 µm, the saturation is reduced to 11,000 e-, while at the same time the readout noise, which has been reduced to 2 e-, ensures a consistently high dynamic value of 74 dB.

The innovations of the third generation will bring improvements, which should have a particular impact on image quality and speed. Applications with moving objects in particular, such as moving production lines, robotics applications and in the ITS and automotive sectors, will benefit from an increase in performance thanks to improved detection quality. It is expected that the further increase in pixel size will result in a significant increase in saturation compared to the second generation and will almost reach the values of the first generation. In combination with low readout noise, the maximum dynamic range may even reach a new high compared to the previous generations. This means that improved light/dark detection can also be implemented in difficult lighting conditions. However, as it would no longer be possible to transfer the increased image data at a higher speed with previous standard interfaces based on the various quality improvements, Sony has developed the SLVS-EC standard with eight channels.

As integrated circuits, CMOS sensors are relatively easy to design and install in image processing systems. However, the challenge for the application lies less in the actual installation than in achieving the best possible image quality.

Detailed knowledge indispensable

Evaluation boards and RDKs help to avoid standard errors during the design-in of the sensor, shorten development cycles and achieve faster implementation.

© Sony/Framos

Developers and engineers can use evaluation boards and suitable reference design kits (RDKs) to select the correct sensor and utilize the full sensor functionality with all detailed settings. With RDKs including Gerber files, sensor boards with ready-made designs and finished IP blocks, it is possible to work directly on the sensor and its settings for the desired application and required image quality. In particular, companies that develop their own design can avoid standard errors, shorten development cycles and thus achieve faster implementation and time-to-market by using ready-made IP packages and advice from image processing experts.

Well-coordinated components are a basic prerequisite for the success of embedded image processing in industrial digitalization. With the increasing performance of processors and sensors and high availability, image processing today has far more capacity to better analyze and interpret images. In Industry 4.0, artificial intelligence with deep learning approaches supports full automation and autonomous, robot-controlled production lines. In the consumer sector, autonomous cars are learning to see and virtual reality glasses are taking us into new worlds. CMOS sensors are making a decisive contribution to this development.

Mini sensors are primarily used in mobile devices, in the automotive and surveillance sectors and in endoscopic medicine.

© Sony/Framos

In classic inspection tasks, the CMOS sensor design with low soldering and mounting tolerances reduces the risk of incorrect measurements or false detections. With the higher image quality and, above all, the higher possible speed, CMOS sensors support demanding applications in electronics and medical technology that require high precision. CMOS technology allows cameras to achieve a higher frame rate. In combination with the lighting, the exposure time can be shortened, resulting in sharper and higher-contrast images in addition to the basic image improvements provided by the CMOS architecture. The detailed image recognition also saves time in post-processing. Shadows, blooming effects and image distortions are already improved or do not appear during recording due to the pixel structure and the extended dynamic range of the CMOS sensors.

Compared to CCD sensors, CMOS sensors consume considerably less energy and therefore generate less heat. The on-chip technology means that fewer components are required and the low heat development means that more electronic components can be installed in a smaller space. Camera modules with CMOS sensors therefore require less space and are preferably used for handheld and mobile devices.

Multidimensionality with CMOS

CMOS gives machines eyes! - CMOS sensors form the basis for visual sensor technology in robotics and automation.

© Sony/Framos

CMOS sensors have particular advantages in the development and implementation of 3D and 4D recording processes: For stereo measurements, for example, it is no longer necessary to install two cameras due to progressive miniaturization combined with high resolution and speed. CMOS technology simplifies the realization of combined sensors based on the 2-in-1 principle, which enable 3D recordings within one camera board using triangulation. Above all, the possibility of integrating logic blocks on CMOS sensors serves the development of advanced image processing methods. Time-of-flight technology, which works with time filters for distance measurement as a processing unit on the chip, and 4D event cameras, which use on-board processing to detect image changes over time, would not be feasible with the basic functions and structure of an analog CCD sensor.

Author:
Ute Häußler works in corporate communications at Framos in Taufkirchen.

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