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A hybrid CMOS (complementary metal-oxide semiconductor) sensor is a type of image sensor typically used in digital cameras and cell phone cameras. It is based on the same technology as a standard CMOS image sensor, but with the addition of a secondary sensor layer that adds an extra layer of image detail. This secondary layer allows for the capture of more detail than a traditional CMOS sensor.
Hybrid CMOS sensors are made up of two parts. The first part is a traditional CMOS sensor, which is responsible for capturing the basic image. The second part is a secondary sensor layer, which is responsible for capturing additional detail. This secondary layer is typically made up of a different type of material, such as a metal-oxide-semiconductor (MOS) layer.
The hybrid CMOS sensor improves image quality by capturing additional detail that would otherwise be lost in traditional CMOS sensors. This extra detail allows for more accurate colour reproduction and improved dynamic range.
Additionally, hybrid CMOS sensors can capture images at higher frame rates than traditional CMOS sensors, allowing for faster shutter speeds and better low-light performance.
Hybrid CMOS sensors are used in a variety of applications, including digital cameras, camcorders, and cell phones. They are also used in industrial cameras for machine vision applications. The use of hybrid CMOS sensors is increasing as technology advances, allowing for higher image quality and faster capture rates.
The Global hybrid CMOS sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
The IMX735 CMOS image sensor, which has the highest pixel count of any vehicle camera in the industry at effective megapixels, has been launched by Sony Semiconductor Solutions Corporation.
The development of sophisticated sensing and recognition performance automotive camera systems will be aided by the new sensor device, which will ultimately lead to safe and secure automated driving.
In order to facilitate automated driving, automated systems need to possess advanced, highly accurate sensing and identification capabilities that cover the entire 360 degrees of the surrounding environment.
As a result, there is a high demand for image sensors that can support this level of performance and the advancement of more sophisticated automobile camera systems.
With an effective pixel count of 17.42, the new sensor product sets a new industry record*1. It also makes it possible to capture distant objects in high clarity. In addition, LiDAR and other sensing technologies are frequently used in conjunction with automobile cameras by autonomous driving systems.
This product outputs signals one row at a time horizontally, whereas standard CMOS image sensors decode signals generated from pixels one vertical line at a time. Automotive cameras that use this sensor, whose laser beams also scan horizontally, may thus synchronise with mechanical scanning LiDAR*4 more readily.
The overall sensing and recognition capabilities of the automated driving system will be enhanced by this improved synchronisation. Additionally, even when using high dynamic range (HDR) photography and LED flicker*5 mitigation simultaneously, the new sensors’ enhanced saturation illuminance—made possible by a proprietary pixel structure—and unique exposure mechanism yield a wide dynamic range of 106 dB.
When dynamic range priority mode is used, the dynamic range is significantly greater, at 130 dB. This innovative design makes it possible to minimise highlight blowouts even in backlit situations, allowing for more accurate object capture in road scenarios with notable brightness variations, like tunnel entrances and exits.
