BeyonSense Demos its SWIR Camera

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 BeyonSense-Stratio-LinkSquare demos its SWIR Ge-based sensor capabilities:


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Yole: Chinese Companies are the New Leaders on the Thermal Imager Market

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 Yole Developpement report "Thermal Imagers and Detectors 2020" updates:

"The current surge of EST [elevated body or surface temperature] applications has transformed the thermal imager manufacturer landscape, at least for thermography. In 2019, US and EU players (FLIR, Lynred, SEEK) were leading this market. Enter COVID-19, and Chinese players (Guide IR, Hikvision, Iray) have turned the tables, surpassing the market leaders, at least in shipments. They rapidly addressed the great domestic demand for thermal imaging systems. Having acquired in the past few years technical competences in thermal imager manufacturing, these Chinese players ramped up their domestic production during the last 2 years, and the current situation has fueled their path to becoming stars. As the epidemic spread across geographies to the west, the rest of the companies reaped the benefits from this hype. But western countries were slower in adopting thermal cameras en masse, due to privacy concerns.

In general, thermal imager production lines are not like other integrated circuit (IC) production lines that work at more than 90% of production capacity. Therefore, for some companies there was not a particular need for investment, besides some increase in consumables and possibly workforce. But for some Chinese companies, it is highly possible that the government has supported their production ramp ups. Moreover, this situation could push Chinese companies to chase investments for future growth, which could rapidly develop the market in the future.

But what could happen next year? Chinese manufacturers have enormous production capacity which risks being left unused. We could be spectators to huge changes in strategy where they could:

  • Revert back to applications such as traditional thermography and surveillance. For  example, companies with existing strong sales channels in traditional non-thermal surveillance can push forward thermal imaging technology. This could potentially lead to big price wars.
  • Find new growth drivers, for example from big markets that are still left untapped. These include consumer applications such as smartphones and smart homes, industrial applications including smart buildings. They could enter the Internet of Things (IoT) world by leveraging megatrends such as 5G and artificial intelligence (AI) in an ultra-connected, intelligent world.

At this point, many uncertainties exist. One thing is sure: exciting times lie ahead for the thermal imaging industry."

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Limits of HDR Imaging with Quanta Image Sensors

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Arxiv.org paper "HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction" by Abhiram Gnanasambandam and Stanley H. Chan from Purdue University shows DR advantage of QIS over CIS:

"High dynamic range (HDR) imaging is one of the biggest achievements in modern photography. Traditional solutions to HDR imaging are designed for and applied to CMOS image sensors (CIS). However, the mainstream one-micron CIS cameras today generally have a high read noise and low frame-rate. These, in turn, limit the acquisition speed and quality, making the cameras slow in the HDR mode. In this paper, we propose a new computational photography technique for HDR imaging. Recognizing the limitations of CIS, we use the Quanta Image Sensor (QIS) to trade the spatial-temporal resolution with bit-depth. QIS is a single-photon image sensor that has comparable pixel pitch to CIS but substantially lower dark current and read noise. We provide a complete theoretical characterization of the sensor in the context of HDR imaging, by proving the fundamental limits in the dynamic range that QIS can offer and the trade-offs with noise and speed. In addition, we derive an optimal reconstruction algorithm for single-bit and multi-bit QIS. Our algorithm is theoretically optimal for all linear reconstruction schemes based on exposure bracketing. Experimental results confirm the validity of the theory and algorithm, based on synthetic and real QIS data."


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Brookman Compares Continuous and Pulsed iToF

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Brookman compares continuous and pulsed iToF approaches with respect to the tolerance to ambient light:

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Smartsens CEO Named Innovator of the Year

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BusinessWire: SmartSens Founder and CEO Richard Xu received a 2020 Innovator of the Year Award at ASPENCORE Global High-Tech Executive Forum.

In an interview with ASPENCORE China analyst, Xu comments on the future of SmartSens:

As a CMOS image sensor chip design company driven by innovation, SmartSens has selected the technically demanding security product industry as a market entry point. We’ve able to take advantage of the country’s rapid advancements and explosive growth in smart cities and intelligent transportation to become a leader in this field.

In particular, our ultra-starlight-level full-color night vision imaging technology, Stack BSI Global Shutter technology, single-frame HDR technology, and Near-Infrared Enhancement technology among others that have garnered recognitions by leading customers in the security industry.

Regarding the future of semiconductor industry in China, Xu says:

Currently, the country can only provide 15% of the overall chip supply, while the demand is over 50%. In addition, there is a demand for high-end chip customization. This presents an opportunity for the domestic semiconductor industry to tap into this rapid development.

From a more passive point of view, it means that domestic companies must examine their own potential. Technological innovation is the key. With a global strategy and strong national sentiment, as well as respect of intellectual property and common-ground value, the market will prove that a win-win situation is attainable.

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Assorted News: ON Semi, Luminar, Galaxycore, Omnivision

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BusinessWire: ON Semiconductor introduces a single point dToF LiDAR solution based on the company's Silicon Photomultiplier (SiPM). The SiPM dToF LiDAR Platform can detect objects at distances between 10 cm and 23 m.

The SiPM dToF LiDAR Platform provides a complete solution for low cost, single point LiDAR that OEMs can adapt and take into production to create industrial range finding applications. It includes the NIR laser diode, SiPM sensor and optics, as well as the digital processing necessary to convert the detected signals into elapsed time, and elapsed time into distance.

BusinessWire: Luminar makes a number of public announcements toward closing its reverse merging IPO deal:

  • Luminar is engaged with 50% more OEM programs for series production deals to be awarded over next 24 months (now 12, up from 8 in August; only 4 modeled in financial forecast)
  • Luminar executed exclusive supply agreements for all three of its key lidar components (receiver, ASIC, and laser), locking in an estimated sub $100 hardware cost in volume.
  • Luminar is on-track for powering series production vehicles in 2022: delivered key milestone of Iris B-samples; shipped to its lead series production partner Volvo Cars and live on vehicles.
  • Luminar is increasing its target 2020 Order Book from $1 billion to approximately $1.3 billion, due to new OEM deals and increased existing customer volume outlook provided
Deeptech posts the notes from Galaxycore investor presentation towards its IPO. Here are Galaxycore's view on image sensor market shares in units and value:

"According to Frost & Sullivan statistics, in 2019 the global mobile phone CMOS image sensor shipments of 4.93 billion, market size reached $ 12.08 billion, is expected to 2024, global hand machine CMOS sensor size will reach 6.78 billion, the market scale reached 16.41 billion yuan .

In terms of 2019 unit shipments, the world's top four CMOS image sensor chips are SONY with 26.9%, Galaxycore 20.7%, Samsung 18.9%, and Omnivision 15.1%.

In terms of sales amount, the top ten in 2019 are SONY with 44.6%, Samsung 22.7%, Omnivision 8%, ON SEMI 3.4%, STMicroelectronics 3.1%, SK Hynyx 3%, Canon 3%, Galaxycore 2.8%, Panasonic 2.4%, Toshiba 2.2%, etc.
"


Netease adds: "according to the statistics of unit shipments in 2019, Galaxycore’s global market share has reached 20.7%. In the segment of mobile phone applications, Galaxycore accounted for 24.3% of the global market share with 1.2 billion unit shipments."

BusinessWire: Omnivision, Ambarella, and Smart Eye announce what they call the automotive industry’s first complete solution for dual-mode camera applications. This joint solution simultaneously monitors drivers while capturing vehicle occupants for one-way videoconferencing.

Our OV2312 is the only automotive image sensor that offers the combination of dual-mode RGB-IR capture and a global shutter,” said Mario Heid, VP of OmniVision Europe. “Without this combined functionality, the camera system designers would have to use two separate image sensors, which is too expensive for most vehicles. At the same time, the European Union (through Euro NCAP) is requiring that all new cars sold in Europe have a driver monitoring system (DMS) camera by 2022, and our joint solution gives OEMs the flexibility to differentiate their vehicle features while meeting this mandate.

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Yole on CIS Trends

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 Yole Developpement report "The CIS industry overheated in 2019 reaching $19.3B. Are we heading to a soft landing in 2020-2021?" says:

"At the top of the market, player trajectories are a consequence of the smartphone market situation. Sony and Samsung are first and second and Omnivision third. ST Microelectronics is in fourth position, making a comeback thanks to its near infrared (NIR) sensing imagers for Apple handsets and tablets. Sony and Samsung have subsequently updated their product portfolio in line with the 3D sensing trend. Indirect Timeof-Flight (iToF) and direct Time-of-Flight (dToF) arrays are the immediate response, showing the great technical innovation driving those top players.

On the other side of the market, emerging players to watch are coming from China. Omnivision has been acquired by Will Semiconductor, the Shanghai-based company. Two other Chinese players, Galaxycore 

and Smartsens, are also experiencing thriving growth. They have mostly benefited from their domestic market ecosystem in mobile and security cameras. Their growth is currently fueled by massive capital injections at time of greater US sanctions limiting their access to technology. CIS might be among the first semiconductor product categories in which China could become technologically independent since the required wafer foundries are widely available in mainland China.

The next era will involve robotics, Augmented Reality (AR) and smart Internet of Things (IoT). All of these are markets in which Chinese companies are well positioned. The ranking of CIS players will eventually change along these new lines."

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Camera and Sensor Tutorial

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EDN publishes camera tutorial by Richard Crisp, Etron VP of New Product Development. Its third part about rolling and global shutter has a nice visualization of the dark current statistics:

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Infineon Estimates ToF Sensor Market

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 Infineon's quarterly Investor Presentation shows the company's forecast of ToF sensor market:

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GigaDevice Develops SWIR ToF Sensor for Smartphones

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Sohu (via IFNews), Zaotech: Gigadevice Director of ToF Marketing of the Sensor Division Haolei Liu presents the company plans to develop ToF sensors and optical fingerprint sensors for smartphones:

"GigaDevice’s innovative ToF solution adopts a special process, has a higher QE, can effectively reduce power consumption and system cost, and can support both the 1350nm-1550nm long wavelength band and the 940nm wavelength band. Outdoors have excellent performance, which meets the needs of the future screen direction.

Liu Haolei also pointed out: “In our opinion, iToF and dToF will be parallel for a period of time. Although the resolution is a shortcoming of dToF, in the long run, we believe that dToF has a lot of room for growth because of the dToF solution. Not long after its launch, the industrial chain is not mature, which also means that it has a lot of room for improvement.

We believe that the potential of ToF needs to be promoted by industry chain ecological partners. It is certain that this technology will have higher and higher requirements for hardware . For example, resolution. In the dToF solution, if the resolution can be significantly improved, the application of products will become more and more extensive.

The new GigaDevice's ToF sensor is said to have QVGA resolution, QE of 65% at 940nm or 50% at 1350nm, "which is nearly double that of the ToF chip based on silicon technology."

MEMSensor: The company also develops a new α-Si process-based under OLED-screen optical fingerprint sensor named GSL7253. It's said to have a sensitive area of 20x30mm2, a QE of 80%, and is only 0.3mm thin:

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Image Sensor Wafers for $25

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A number of Ebay sellers offer "research" 8-inch image sensor wafers for $25 a piece. Possibly, they could serve as a nice souvenir:

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Galaxycore IPO Approved at $7.5B Valuation

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FinanceSecond, NetEase: GalaxyCore listing at Science and Technology Innovation Board of the Shanghai Stock Exchange has been approved by authorities. The IPO includes 15% share of the company at the price of 7,428,830,300 RMB (about $1.124B). This values the company at $7.5B.

The money will be invested into CIS R&D and 12-inch wafer BSI processing facility that Galaxycore built in Lingang New Area of China (Shanghai) Free Trade Pilot Zone.

"Through the construction of some 12-inch BSI wafer back-end production lines, 12-inch wafer manufacturing pilot lines, some OCF manufacturing and back grinding and cutting production lines, the company has realized the transition from the Fabless model to the Fab-Lite model."

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Velodyne Reports Q3 2020 Results

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BusinessWire: As a public company, Velodyne reports its quarterly results, giving a good food for thought about LiDAR market as a whole:

  • Revenue: Total revenue of $32.1M represents a 137% increase year-over-year.
  • Units and ASPs: We shipped 2,235 sensor units with a ASP of approximately $5,600.
  • Gross Profit: GAAP and non-GAAP gross profit totaled $15.0M. Previous public guidance reflected a third quarter benefit from a one-time $11M stocking fee, which positively impacted gross profit.
  • Net Loss: GAAP net loss was $5.3M and non-GAAP net loss was $9.1M.
  • Liquidity: Cash of $298M was on the balance sheet at the end of the third quarter.
  • For the full year 2020, we expect total revenue of approximately $101M, as previously forecasted.
  • For the full year, GAAP operating loss is expected to total between $208M and $205M.

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Assorted News: Ambarella, ON Semi, Omnivision

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BusinessWire: Ambarella introduces the CV28M camera SoC, the latest in the CVflow family, combining image processing, high-resolution video encoding, and CVflow computer vision processing in a single, low-power design. The CV28M’s efficient AI architecture provides the flexibility to enable a new class of smart edge devices for applications including smart home security, retail monitoring, consumer robotics, and occupancy monitoring.

All around us, devices are becoming smarter, and with our newest CV28M SoC, our customers can develop a new generation of intelligent sensing cameras for a variety of new applications,” said Chris Day, VP of marketing and business development at Ambarella. “In privacy-sensitive applications—such as monitoring retail stores, workplaces, rental properties, or the elderly at home—edge-based AI processing can support intelligent monitoring and fast decision-making without the requirement to record or stream video to the cloud.


ON Semi publishes a promotional video about its SiPM use in dToF laser rangefinders:


ResearchInChina reviews the ADAS market design wins for major vision processor companies:


AspenCoreGroup, the mother company of EETimes, EDN, and many other electronics magazines, announces its  Global Electronic Achievement Awards 2020. In the sensors category, the Award goes to Omnivision OV64B sensor.


Digitimes reports that OmniVision is ramping up the volume production of OV64A in Q4 2020 for Xiaomi, Oppo and Vivo in their midrange and high-end smartphones.

As China continues its de-Americanization and self-sufficiency policy in semiconductors, OmniVision is expected to significantly increase its share on Chinese CIS market, according to Digitimes sources.

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Soitec Presents IR Sensitivity Improvements in FSI Sensors

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Soitec says that its "Imager-SOI [wafer] product line is designed specifically for fabricating front-side imagers for near-infrared (NIR) applications including advanced 3D image sensors."

The product line is available in 300mm. BOX from 15nm to 150nm. “Epi Ready” Top silicon from 50nm to 200nm.

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Soitec Presents IR Sensitivity Improvements in FSI Sensors

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Soitec says that its "Imager-SOI [wafer] product line is designed specifically for fabricating front-side imagers for near-infrared (NIR) applications including advanced 3D image sensors."

The product line is available in 300mm. BOX from 15nm to 150nm. “Epi Ready” Top silicon from 50nm to 200nm.

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Sub-Micron X-Ray Pixels

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Waterloo Institute for Nanotechnology is going to design sub-micron pixels for X-Ray ptychography. In regular X-ray sensors, the pixel pitch is 100-200um or more.

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CIS Market to Grow 1% in 2020, 12% in 2021

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IC-Insights forecasts a slight growth of image sensor market this year, followed by a 12% growth in 2021:

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Samsung Launches 4-Tap iTOF Sensor

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 Samsung unveils its first iTOF product - ISOCELL Vizion 33D:

"Featuring 4-tap pixels, the Samsung ISOCELL Vizion 33D delivers precise and swift depth sensing capabilities for next-level 3D applications.

Enabling pro-grade shots with bokeh effects or accurate 3D object images, the ToF (Time-of-Flight) sensor is optimized to provide best-in-class photography and AR/VR experiences.

To enable precise depth measurement of fast-moving objects, the ISOCELL Vizion 33D features a 4-tap demodulation system and supports frame rate of up to 120fps. Each pixel in the sensor can receive four phase signals simultaneously (0°, 90°, 180°, and 270°), which means it can generate a depth image with just a single frame. The ISOCELL Vizion 33D can capture moving objects with significant reduction of motion artifacts.

In both indoor and outdoor conditions, the sensor can detect the depth of an object within up to 5m with high accuracy. ISOCELL’s pixel technology, coupled with high resolution, enables the sensor to accurately separate objects from the background with 3D bokeh effect.

Deep Trench Isolation technology (DTI) maximizes isolation between pixels to reduce crosstalk, while Backside Scattering Technology (BST) enhances the sensor’s quantum efficiency. With high-precision depth images, the ISOCELL Vizion 33D delivers next-level 3D applications, such as facial authentication for payment services.

With a total power consumption of under 400mW for both IR illuminator and the ToF sensor, the 33D makes it possible for users to enjoy powerful 3D features, such as AR games and video bokeh, throughout the day."

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DJI Mini 2 Review

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The DJI Mini 2 is a brand new replacement for the 249g Mavic Mini. It drops the "Mavic" but retains essentially the same folding airframe. Why, you might wonder, is a drone getting a significant refresh less than 13 months after launch? Find out in my full review!…

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Zeiss Use of MALS is "The Biggest Breakthrough in Microscopy Since the Invention of Microscope"

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Zeiss Visioner 1 digital microscope uses SD Optics' Micro-mirror Array Lens System (MALS) technology to achieve digitally-extended depth of focus up to 69mm:

"ZEISS Visioner 1 revolutionizes the world of optical inspection and documentation. Driven by the unique Micro-mirror Array Lens System (MALSTM technology), enables for the first time, real-time all-in-focus imaging – first time, every time.

Using a micro-mirror array lens system (MALS™) enables us to generate “virtual” lenses with distinctly different curvatures, thus different focus planes. This is achieved by changing the orientation of each individual micro-mirror in an orchestrated way.

Re-shaping the curvature of this “virtual” lens at speed enables ultra-fast focusing and real-time all-in focus imaging and documentation.
"

  • Up to 100x more usable Extended Depth of Field
  • Allows for height differences of up to 69mm*
  • Reflective micro-mirror array with curvatures (variable) arranged in a flat plane
  • Each micro-mirror is about 100x100 µm
  • Each micro-mirror rotates & translates to form the optical surfaces with variable curvatures
  • No need for Z-stacking or re-focusing


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Canon RF 50mm f1.8 STM review

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The Canon RF 50mm f1.8 STM is a low-priced standard prime lens for the EOS R mirrorless system. It becomes the cheapest model in the RF catalogue to date while also featuring a number of improvements. Check out my review to see how it compares to the older EF version!…

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Canon RF 70-200mm f4L IS USM review so far

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The Canon RF 70-200mm f4L IS USM is a compact telephoto zoom for the EOS R mirrorless system. It uses an extending barrel that makes it comfortably shorter and more transportable than the previous EF version. Check out my sample images!…

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Image Sensors at IEDM 2020: Facebook, Samsung, Omnivision, Sony, More…

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IEDM publishes its 2020 program with many image sensor-related papers:
  • Sony presents 10um BSI SPAD with 14% PDE @ 940nm, possibly used in Apple iPad/iPhone LiDAR
  • Facebook and Brillnics present low power sensor
  • Samsung presents 108MP Nonacell sensor with 0.8um pixels and 18Ke- FWC in 3x3 binning mode
  • Omnivision presents 64MP sensor with 0.7um pixels with 18Ke- PWC in 2x2 binning mode
  • Imec presents SWIR imager with 1.82um pixels
  • Much more...
16.1 A 4.6µm, 512×512, Ultra-Low Power Stacked Digital Pixel Sensor with Triple Quantization and 127dB Dynamic Range,
Chiao Liu, Lyle Bainbridge, Andrew Berkovich, Song Chen, Wei Gao, Tsung-Hsun Tsai, Kazuya Mori*, Rimon Ikeno, Masayuki Uno*, Toshiyuki Isozaki*, Yu-Lin Tsai**, Isao Takayanagi*, Junichi Nakamura*,
Facebook Inc, *Brillnics Japan Inc., **Brillnics Inc.
A 512x512 digital pixel sensor (DPS) in stacked CIS process for ultra-low power, ultra-wide dynamic range mobile computer vision applications is presented. Each 4.6µm DPS pixel has an ADC and 10-bit SRAM. We introduce a single exposure triple quantization (3Q) scheme to achieve 127dB DR while consuming 5.3mW at 30fps.

16.2 A 0.8 μm Nonacell for 108 Megapixels CMOS Image Sensor with FD-Shared Dual Conversion Gain and 18,000e- Full-Well Capacitance,
Youngsun Oh, Munhwan Kim, Wonchul Choi, Hana Choi, Honghyun Jeon, Junho Seok, Yujung Choi, Jaejin Jung, Kwisung Yoo, Donghyuk Park, Yitae Kim, Kyoung-min Koh, Jesuk Lee, Chang-Rok Moon, JungChakAhn,
Samsung Electronics Co., Ltd.
A 0.8μm-pitch 108 megapixels ultrahigh-resolution CMOS image sensor has been demonstrated for mobile applications. The Nonacell was developed with odd-number shared pixel, and the FWC was secured up to 18,000e-. 3 active binning mode to achieve 12 megapixels resolution, ensuring excellent low- and high-illuminance SNR.

16.3 A 64M CMOS Image Sensor using 0.7um pixel with high FWC and switchable conversion gain,
Y. Jay Jung, Vincent Venezia, Sangjoo Lee, Chun Yung Ai, Yibo Zhu, King W. Yeung, Geunsook
Park, Woonil Choi, Zhiqiang Lin, Wu-Zang Yang, Alan Chih-Wei Hsiung, Lindsay Grant,
OmniVision Technologies, Inc.
This paper presents a 64MP, backside-illuminated, imager using 0.7um pixel-pitch with 7.0ke- FWC. Switchable-conversion-gain was also demonstrated to have high 18.0ke- FWC in 4-Cell mode. Several new processes were implemented to overcome pixel performance degradation. As a result, this high FWC imager achieves low dark-noise and high QE, comparable to 0.8um.

16.4 A Global Shutter Wide Dynamic Range Soft X-ray CMOS Image Sensor with BSI Pinned Photodiode, Two-stage LOFIC and Voltage Domain Memory Bank,
Hiroya Shike, Rihito Kuroda, Ryota Kobayashi, Maasa Murata, Yasuyuki Fujihara, Manabu Suzuki, Taku Shibaguchi*, Naoya Kuriyama*, Jun Miyawaki**, Tetsuo Harada***, Yuichi Yamasaki^, Takeo Watanabe***, Yoshihisa Harada***, Shigetoshi Sugawa, 
*Tohoku University, **LAPIS Semiconductor Co., Ltd., ***The University of Tokyo, ^University of Hyogo
A prototype soft X-ray CMOS image sensor (sxCMOS) with BSI pinned photodiode with a 45µm-thick Si substrate, two-stage LOFIC and voltage domain memory bank with high density capacitors is presented. The fabricated chip demonstrated a high QE toward soft X-ray with a single exposure 129dB dynamic range by global shutter.

16.5 Imaging in Short-Wave Infrared with 1.82 µm Pixel Pitch Quantum Dot Image Sensor
Jiwon Lee, Epimitheas Georgitzikis, Yunlong Li, Ziduo Lin, Jihoon Park, Itai Lieberman, David Cheyns, Murali Jayapala, Andy Lambrechts, Steven Thijs, Richard Stahl, Pawel Malinowski,
imec
High pixel density SWIR image sensor with 1.82 μm pixel pitch is presented. PbS QD photodiode is monolithically integrated on custom CMOS readout. We show through-silicon vision and lens-free imaging (LFI) examples. To our knowledge, this is the smallest pitch SWIR pixel ever reported and the first QD-based LFI system.

16.6 A Back Illuminated 10μm SPAD Pixel Array Comprising Full Trench Isolation and Cu-Cu Bonding with Over 14% PDE at 940nm,
K. Ito, Y. Otake, Y. Kitano, A. Matsumoto, J. Yamamoto, T. Ogasahara, H. Hiyama, R. Naito*, K. Takeuchi*, T. Tada*, K. Takabayashi*, H. Nakayama*, K. Tatani, T. Hirano, and T. Wakano,
Sony Semiconductor Solutions, *Sony Semiconductor Manufacturing
We developed a BI 10um SPAD array sensor using pixel-level Cu-Cu bonding and metal-buried Full Trench Isolation. Using a 7um thick Si layer, a fine-tuned potential and process, over 14% PDE at λ=940nm and the best in class DCR were achieved. Low timing jitter and suppressed X-talk were also demonstrated.

17.1 Portable Multi-Spectral Imaging: Devices, Vertical Integration, and Applications (Invited),
Alberto Valdes-Garcia, Petar Pepeljugoski, Ivan Duran, Jean-Olivier Plouchart, Mark Yeck, Huijuan Liu,
IBM T. J. Watson Research Center
Advances in semiconductor and packaging technologies have downsized sensing devices including visible-domain/IR and mmWave radars. This paper discusses challenges and opportunities associated with portable multi-spectral imaging systems, where data from across the EM spectrum is captured, processed, and displayed simultaneously. A prototype system, experimental data, and potential applications are discussed.

33.1 Low power consumption and high resolution 1280X960 Gate Assisted Photonic Demodulator pixel for indirect Time of flight,
Y. Ebiko, H. Yamagishi, K. Tatani, H. Iwamoto, Y. Moriyama, Y. Hagiwara, S. Maeda, T. Murase, T. Suwa, H. Arai, Y. Isogai, S. Hida*, S. Kameda*, T. Terada*, K. Koiso*, F. T Brady**, S. Han**, A. Basavalingappa**, T. Michiel***, T. Ueno***,
Sony Semiconductor Solutions Corporation, * Sony Semiconductor Manufacturing Corporation, ** Sony Electronics Inc. Image Sensor Design Center, ***Sony Depth Sensing Inc.
A 3.5um square 1.2M pixel indirect time of flight sensor achieves 18,000e- full well capacity and 32% quantum efficiency with diffraction structure. Low power consumption is also achieved, due to low resistance Cu-Cu connection wiring. These device architectures enable high resolution and wide dynamic range 3D depth sensing.

33.2 A 2.8 μm Pixel for Time of Flight CMOS Image Sensor with 20 ke- Full-Well Capacity in a Tap and 36 % Quantum Efficiency at 940 nm Wavelength,
YongHun Kwon, Sungyoung Seo, Sunghyuck Cho, Sung-Ho Choi, Taeun Hwang, Youngchan Kim, Young-Gu Jin, Youngsun Oh, Min-Sun Keel, Daeyun Kim, Myunghan Bae, Yeomyung Kim, Seung-Chul Shin, SunJu Hong, Seok-HaLee, Ho Woo Park, Yitae Kim, Kyoungmin Koh, JungChak Ahn,
Samsung Electronics
A 2.8μm 4-tap global shutter pixel has been realized for a compact and high-resolution time of flight (ToF) CMOS image sensor. 20,000 e- of full-well capacity (FWC) per a tap is obtained by employing a MOS capacitor. 36% of quantum efficiency (QE) 86 % of demodulation contrast (DC) are achieved.

9.4 Characterization Scheme for Plasma-Induced Defect due to Stochastic Lateral Straggling in Si Substrates for Ultra-Low Leakage Devices,
Yoshihiro Sato, Takayoshi Yamada, Kazuko Nishimura, Masayuki Yamasaki, Masashi Murakami, Keiichiro Urabe*, Koji Eriguchi*,
Panasonic Corporation, *Kyoto University
This study demonstrates a new characterization scheme to assess the density and profile of defects in the lateral direction and to verify their impacts using CMOS image sensor-based structures. We present a 3D (vertical and lateral) defect map as well as possible optimization strategies for ultra-low leakage devices.

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3 Year-Old Aeva Goes Public at $2.1B Valuation

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PRNewswire: 3 year-old FMCW LiDAR startup Aeva announces a reverse merging with InterPrivate Acquisition Corp. to be listed on NYSE at $2.1B valuation. This transaction is to provide up to $363M in gross proceeds, comprised of InterPrivate's $243M held in trust and a $120M fully committed common stock PIPE at $10.00 per share, including investments from Adage Capital and Porsche SE.

The combined company expected to have an estimated post-transaction equity value of approximately $2.1B and is expected to be listed on the NYSE under the ticker symbol AEVA following anticipated transaction close in Q1 2021.

Founded in 2017 by former Apple engineers Soroush Salehian and Mina Rezk and having a team of over 100 employees, Aeva is engaged with thirty of the top players in automated and autonomous driving across passenger, trucking and mobility.
  • In 2019, Aeva announced a partnership with Audi's Autonomous Intelligent Driving entity. Aeva has also partnered with multiple other passenger car, trucking and mobility platforms to further adoption of ADAS and autonomous applications.
  • Aeva is in a production partnership with ZF, one of the world's largest automotive Tier 1 manufacturers to top OEMs, to supply the first automotive grade 4D LiDAR from select ZF production plants. The partnership — Aeva's expertise in FMCW LiDAR technology combined with ZF's experience in industrialization of automotive grade sensors — represents a key commitment to accelerate mass production of safe and scalable 4D LiDAR technology.
"From the beginning our vision has been to create a fundamentally new sensing system to enable perception across all devices. This milestone accelerates our journey toward delivering the next paradigm in perception to mass market applications, not just in automotive but consumer and beyond," said Soroush Salehian, Co-founder and CEO at Aeva.

Mina Rezk, Co-founder and CTO at Aeva, said, "From the beginning, we believed that the only way to achieve the holy grail of LiDAR is to be integrated on a chip. Over the last four years, we did it by leveraging Aeva's unique coherent FMCW approach. With today's announcement, we can use our development efforts to expand into new markets that were simply not possible before.


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Sony CIS Sales Predicted to Fall by 42% in a Year

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BusinessKorea tells: "Sony’s image sensor sales are predicted to fall from 240 billion yen in the second quarter of this year to 130 billion yen in the second quarter of next year.

This is leading to an opportunity for Samsung. The latecomer in the industry has focused on Xiaomi, Vivo and others rather than Huawei.

Samsung is aiming to rise to the top in the global image sensor market by 2030. Last year, Samsung’ share in the market was 18.1 percent and Sony’s was 53.5 percent."

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LiDAR News: Livox, Voyant, Aeye, Conti, Luminar, Daimler

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 Livox announces two new products, Mid-70 and AVIA:


Livox demos 500m detection range of its LiDAR:

Voyant Photonics President Peter Stern talks about Apple LiDAR:

"The iPhone time-of-flight LiDAR, probably built with the same amazing SPAD array used in the iPad, coupled with a VCSEL array for illumination, is an engineering marvel. It’s absolute magic.

After working on LiDAR three decades ago that could detect telephone lines kilometers away from a fast-moving, low-flying helicopter, I have been waiting for this kind of LiDAR magic for a long time.

At Voyant, we have a different approach. No VCSELs, no SPADs. Adapting microscopic optical components from datacom chips to active sensing, we have created a coherent pixel array for LiDAR, similar to the ubiquitous CMOS image sensors found everywhere. Each pixel both transmits and receives light at 1550 nm wavelengths.

We expect the sale price for our initial imaging LiDAR to be less than $500 by 2023 and drop quickly as production ramps up. To put that in perspective, our initial product price for 2023 is less than Velodyne’s plan for 2024."


Aeye switches between its CEO and President. The new CEO, Blair LaCorte, used to be the company's President, while Luis Dussan, AEye founder and former CEO, becomes the new President.

Aeye also announces that Continental has invested into the company. By partnering with AEye, Continental complements its existing short-range 3D Flash LiDAR technology, which goes into series production later this year. This start of production of the High-Resolution 3D Flash LiDAR (HFL) is a key milestone for Conti. It is said to be the first high-resolution solid-state LiDAR sensor to go into series production in the automotive market worldwide.

We now have optimum short-range and world-class long-range LiDAR technologies with their complimentary set of benefits under one roof. This puts us in a strong position to cover the full vehicle environment with state-of-the-art LiDAR sensor technology and to facilitate Automated Driving at SAE levels 3 or higher in both passenger cars and commercial vehicle applications,” said Frank Petznick, head of the ADAS business unit at Conti.


Techcrunch, BusinessWire: Daimler’s  trucks division has invested in Luminar  as part of a broader partnership to produce autonomous trucks. The undisclosed investment by Daimler is in addition to the $170M that Luminar raised as part of its reverse-merger IPO. Y year go, Daimler took a majority stake in Torc Robotics,  an autonomous trucking startup that had been working with Luminar the past two years.

The deal comes just days after Daimler and Waymo announced plans to work together to build an autonomous version of the Freightliner Cascadia truck. is the latest action by the German manufacturer to move away from robotaxis and shared mobility and instead focus on tracks.

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Moon Photography Tutorial

Cameralabs        Go to the original article...

The Moon is one of my favourite subjects to photograph and in this tutorial I'll show you how to take great photos of it including exposure, phases, Earthshine and how to plan a Moon-rise with a landscape in the foreground!…

The post Moon Photography Tutorial appeared first on Cameralabs.

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Optical Quantum Random Number Generator

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 APL Photonics paper "An optical chip for self-testing quantum random number generation" by  Nicolò Leone,  Davide Rusca,  Stefano Azzini,  Giorgio Fontana,  Fabio Acerbi,  Alberto Gola,  Alessandro Tontini, Nicola Massari,  Hugo Zbinden, and  Lorenzo Pavesi from University of Trento, FBK, and University of Geneva describes how photon shot noise-based RNG is built:

"We present an implementation of a semi-device-independent protocol of the generation of quantum random numbers in a fully integrated silicon chip. The system is based on a prepare-and-measure scheme, where we integrate a partially trusted source of photons and an untrusted single photon detector. The source is a silicon photomultiplier, which emits photons during the avalanche impact ionization process, while the detector is a single photon avalanche diode. The proposed protocol requires only a few and reasonable assumptions on the generated states. It is sufficient to measure the statistics of generation and detection in order to evaluate the min-entropy of the output sequence, conditioned on all possible classical side information. We demonstrate that this protocol, previously realized with a bulky laboratory setup, is totally applicable to a compact and fully integrated chip with an estimated throughput of 6 kHz of the certified quantum random bit rate."

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RGB Color Error Tested with Hyperspectral Camera

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 MDPI paper "How Good Are RGB Cameras Retrieving Colors of Natural Scenes and Paintings?—A Study Based on Hyperspectral Imaging" by João M. M. Linhares, José A. R. Monteiro, Ana Bailão, Liliana Cardeira, Taisei Kondo, Shigeki Nakauchi, Marcello Picollo, Costanza Cucci, Andrea Casini, Lorenzo Stefani, and Sérgio Miguel Cardoso Nascimento from University of Minho, University of Lisbon, Portuguese Catholic University (Portugal), Toyohashi University of Technology (Japan), and Istituto di Fisica Applicata “Nello Carrara” del Consiglio Nazionale delle Ricerche (Italy), describes an interesting experiment:

"RGB digital cameras (RGB) compress the spectral information into a trichromatic system capable of approximately representing the actual colors of objects. Although RGB digital cameras follow the same compression philosophy as the human eye (OBS), the spectral sensitivity is different. To what extent they provide the same chromatic experiences is still an open question, especially with complex images. We addressed this question by comparing the actual colors derived from spectral imaging with those obtained with RGB cameras. The data from hyperspectral imaging of 50 natural scenes and 89 paintings was used to estimate the chromatic differences between OBS and RGB. The corresponding color errors were estimated and analyzed in the color spaces CIELAB (using the color difference formulas ΔE*ab and CIEDE2000), Jzazbz, and iCAM06. In CIELAB the most frequent error (using ΔE*ab) found was 5 for both paintings and natural scenes, a similarity that held for the other spaces tested. In addition, the distribution of errors across the color space shows that the errors are small in the achromatic region and increase with saturation. Overall, the results indicate that the chromatic errors estimated are close to the acceptance error and therefore RGB digital cameras are able to produce quite realistic colors of complex scenarios."

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