OmniVision Technologies


OmniVision Technologies Inc. is a Chinese-owned corporation that designs and develops advanced digital imaging technologies and products for use in mobile phones, notebooks, netbooks and webcams, security and surveillance cameras, entertainment, automotive and medical imaging systems. Headquartered in Santa Clara, California, OmniVision Technologies has offices in the US, Western Europe and Asia, including 5 design centers globally and a testing facility in Shanghai, China.
In 2016, OmniVision was acquired by a consortium of Chinese investors consisting of Hua Capital Management Co., Ltd., CITIC Capital Holdings Limited and Goldstone Investment Co., Ltd.

History

OmniVision was founded in 1995 by Aucera Technology.
Some company milestones:

OmniPixel3-HS

OmniVision’s front-side illumination technology architecture enhances image capture under very low lighting conditions. It is used to manufacture compact cameras in mobile handsets, notebook computers and other applications that require low-light performance without the need for flash.
OmniPixel3-HS is the technology behind its image sensor module that will, for example, be used by Dahua to produce cloud-based cameras for smart home systems.
OmniPixel3-GS expands on its predecessor, and uses global shutter technology to simultaneously expose all pixels and read them out line-by-line for steady, high-speed imaging. Sensitivity to near-infrared light means it can capture images that cannot be seen with the human eye. It is used for eye-tracking for facial authentication, and other computer vision applications.

OmniBSI

Backside illuminated image technology differs from FSI architectures in how light is delivered to the photosensitive area of the sensor. In FSI architectures, the light must first pass through transistors, dielectric layers, and metal circuitry. In contrast, OmniBSI technology turns the image sensor upside down and applies color filters and micro lenses to the backside of the pixels, resulting in light collection through the backside of the sensor. This puts the metal and dielectric layers below the sensor array, providing the most direct path for light to travel into the pixel, which optimizes image quality.

OmniBSI-2

The second-generation BSI technology, developed in cooperation with Taiwan Semiconductor Manufacturing Company Limited, is built using custom 65 nm design rules and 300mm copper processes. This combination supports improved low-light sensitivity, dark current, and full-well capacity over the first-generation of BSI technology, as well as sharper image quality.

CameraCubeChip

In this camera module, sensor and lens manufacturing processes are combined using semiconductor stacking methodology. Wafer-level optical elements are fabricated in a single step by combining CMOS image sensors, chip scale packaging processes, and wafer-level optics. These fully integrated chip products have camera functionality and are intended to produce thin, compact devices with advanced imaging capability.

RGB-Ir Technology

RGB-iR technology uses a color filter process to improve color fidelity. By committing 25% of its pixel array pattern to infrared and 75% to RGB, it can simultaneously capture both RGB and IR images. This makes it possible to capture both day and night images with the same sensor. It is used for battery powered home security cameras as well as biometric authentication, such as gesture and facial recognition.

PureCel Technologies

OmniVision developed its PureCel and PureCel Plus mage sensor technology to provide added camera functionality to smartphones and action cameras. The technical goal was to provide smaller camera modules that enable larger optical formats and offer improved image quality, especially in low-light conditions.
Both of these technologies are offered in a stacked die format. This stacked die methodology separates the imaging array from the image sensor processing pipeline into a stacked die structure, allowing for additional functionality to be implemented on the sensor while providing for much smaller die sizes compared to non-stacked sensors. Unique to PureCelPlus-S are partial deep trench isolation structures comprising an interfacial oxide, first deposited HfO, TaO, oxide, Ti-based liner, and a tungsten core. This is OmniVision's first DTI structure, and the first metal filled B-DTI trench since 2013.
PureCel Plus uses buried color filter array to collect light with various incident light angles for tolerance improvements. Deep trench isolation reduces crosstalk by creating isolation walls between pixels inside silicon. In PureCel Plus Gen 2, OmniVision improved deep trench isolation for better pixel isolation and low-light performance. Its target application is smartphone video cameras.

Nyxel

Developed to address the low-light and night-vision performance requirements of advanced machine vision, surveillance, and automotive camera applications, OmniVision’s Nyxel NIR imaging technology combines thick-silicon pixel architectures and careful management of the wafer surface texture to improve quantum efficiency. In addition, extended deep trench isolation helps retain modulation transfer function without affecting the sensor’s dark current, further improving night vision capabilities. Unlike conventional NIR approaches, OmniVision’s Nyxel technology achieves 3x QE improvement for 850 nm sensitivity and a 5x QE improvement for 940 nm sensitivity. Performance improvements include image quality, extended image-detection range and a reduced light-source requirement, leading to overall lower system power consumption.

Nyxel 2

This second generation near-infrared technology improves upon the first generation by increasing the silicon thickness to improve imaging sensitivity. Deep trench isolation was extended to address issues with crosstalk without impacting modulation transfer function. Wafer surface has been refined to improve the extended photon path and increase photon-electron conversion. The sensor achieves 25% improvement in the invisible 940-nm NIR light spectrum and a 17% increase in the barely visible 850-nm NIR wavelength over the first-generation technology.

LED Flicker Mitigation and High Dynamic Range

imaging relies on algorithms to combined several image captures into one to create a higher quality image than native capture alone. LED lighting can create a flicker effect with HDR. This is a problem for machine vision systems, such as those used in autonomous vehicles. That is because LEDs are ubiquitous in automotive environments, from headlights to traffic lights, road signs and beyond. While the human eye can adapt to LED flickering, machine vision cannot. To mitigate this effect, OmniVision uses split pixel technology. One large photodiode captures a scene using short exposure time. A small photodiode using long exposure simultaneously captures the LED signal. The two images are then joined together in a final picture. The result is a flicker-free image. Ficosa, supplier of digital rear-view vision systems to Audi, has integrated OmniVision HDR sensors with LED flicker mitigation technology into their systems.

Products

CMOS Image Sensors

OmniVision CMOS image sensors range in resolution from 64 megapixels to below one megapixel.

ASICS

OmniVision also manufactures application integrated circuits as companion products for its image sensors used in automotive, medical, augmented reality and virtual reality, and IoT applications.

CameraCubeChip

OmniVision's CameraCubeChip is a fully packaged, wafer-level camera module measuring 0.65 mm x 0.65 mm that contains the . It is being integrated into disposable endoscopes and catheters with diameters as small as 1.0mm. These medical devices are used for a range of medical procedures, from diagnostic to minimally invasive surgery.

LCOS

OmniVision manufacturers liquid crystal on silicon projection technology for display applications.
At CES 2018, together with the Hong Kong Applied Science and Technology Research Institute Company Limited, OmniVision showcased a reference design for a wireless augmented reality headset that could achieve 60 degree field of view. It combined a single-chip 1080p LCOS display and image sensor from OmniVision with ASTRI's optics and electronics. The headset is said to be smaller and lighter than others because of its single-chip design with integrated driver and memory buffer.
In 2018, AR start-up, Magic Leap, adopted both OmniVision LCOS technology and sensor bridge ASIC for its Magic Leap One mixed reality products.

Markets and Applications

The digital imaging market has converged into two paths: digital photography and machine vision. While smartphone cameras drove the market for some time, since 2017, machine vision applications have driven new developments. Autonomous vehicles, medical devices, miniaturized security cameras, and Internet of Things devices all rely on advanced imaging technologies. OmniVision serves every imaging market segment worldwide including:
The following are examples of OmniVision products that have been adopted by end-users.

The [Deloitte] Technology Fast 50 List for [Silicon Valley]:

3D InCites Awards

2018 AutoSens Brussels Silver Award
2019 Image Sensor Europe Awards
Vision Systems Design 2019 Innovators
EDN Hot 100 Products for 2019
2019 Sensor’s Expo Who’s Who in Sensor Tech Top 50 List
2019 ASPENCORE World Electronics Achievement Awards
2019 Guinness Book of World Records
Headquartered in Santa Clara, CA, OmniVision has additional offices and manufacturing sites around the world including:
R&D Locations:
United States: Santa Clara
China: Shanghai
Japan: Kyota, Yokohama
Norway: Oslo
Singapore