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SOL Inc. presents its IEC-standardized lensless biosensor solutions:
Actlight CEO Considers Selling the Company
November 28, 2021 By Leave a Comment
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Verve.vc publishes an interview with Serguei Okhonin, Actlight CEO and co-founder. Few quotes:
Q: So how does an IP company such as ActLight actually work?
A: We started with an idea and developed it up to the point where we could file patents. The goal, of course, is to license the technology to big semiconductor companies that integrate it into their offering, which they can eventually sell to the big consumer brands we all know. What we do is research and refine our technology to the point that we can provide potential customers with prototypes that should, ideally, convince them of the merits of our sensor. When we achieve this, our job is done. We then basically just provide support.
Q: Let me guess: Convincing big semiconductor companies isn’t that easy.
A: Our potential customers are global market leaders, they have tens of thousands of employees and decades of experience in their field. Now imagine that a small startup from Lausanne comes up to them and says: Look guys, our detector performs better than what you have developed. The first thing they tell you is: That’s impossible. It takes many meetings and a lot of time to convince them otherwise. And then, they do a very thorough due diligence. They will spend more than a year to ascertain the merits of new technology, it is a long process. But once they have done that, and decide to move forward, these companies move very quickly. They have the manpower, the infrastructure, the sales organization, the relationships with their customers… they can bring a product to the mass market at a speed that no startup can match.
Q: Where do you stand in the process you just described?
A: For an IP company like ActLight, the most important achievement is what I call the industrial proof of technology, which means, that a mass-market product incorporates the technology we have developed. We have achieved this milestone now. We licensed our technology to a semiconductor company, the number 1 worldwide, which is building a heart-rate monitor for hearable devices. Thanks to our invention, power consumption is drastically reduced and a high level of miniaturization is achieved. Working samples are already at end customers and, in 2022, mass production starts.
Q: With a use case that will hit the market soon and others that sound promising, ActLight must have appeared on the radar of tech companies by now.
A: After 10 years, we need to think about the future of the company, and there are basically two options. Do we want to grow and pursue more projects, or do we want to sell the company? Recently, we have started to get approached by potential buyers. Of course, such approaches out of the blue need to be examined very well, but it doesn’t surprise me that this happens now.
Q: Because of the traction or what you called industrial proof of technology?
A: Not only that, the M&A activity in the semiconductor industry is incredibly intense at the moment. The sector is red hot. Hardware stocks have reached new highs, and the shortage of semiconductors is talked about a lot. There is an urgency to invest that I haven’t seen in the past 3 decades, it’s insane.
TheBusinessTime publishes an article about Actlight in-ear vital signs monitoring solution.
Free Ebook: The Latest Development Trends in CMOS Image Sensors
November 27, 2021 By Leave a Comment
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Techinsights releases a free ebook "The latest development trends in CMOS Image Sensors." This is a recap of a presentation given by Ziad Shukri at IISW 2021:- the latest analysis and trends of CMOS image sensors - resolution, pixel pitch, chip stacking and die configuration
- active silicon thickness and pixel aspect ratio trends
- trends and comparative analysis on ToF sensors, including both Front- and Back-illuminated, as well as recent NIR-optimized sensors
- CIS trends for emerging applications and future challenges
Sony 32MP Sensor Uses 22nm Process
November 26, 2021 By Leave a Comment
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Sony IMX709 sensor used in the new Oppo Reno 7 smartphone front camera is claimed to be Sony's first sensor based on 22nm process:
Atomic Layer Deposition in Image Sensor Manufacturing
November 26, 2021 By Leave a Comment
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Yole Developpement report "ALD equipment market surging with 12% CAGR to reach $680M in 2026, penetrating all More-than-Moore applications" states that CIS is by far the largest market for Atomic Layer Deposition systems:
Samsung to Adopt CSP for Low Resolution Sensors
November 25, 2021 By Leave a Comment
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TheElec: Samsung is to use chip-scale packaging (CSP) to reduce the cost of its low resolution image sensors starting 2022, according to TheElec sources. Currently, Samsung uses chip on board (COB) approach for all sensors.
CSP is done at the wafer level, unlike COB, resulting in increased productivity and lower assembly clean room requirements.
The downside of CSP can only be done in lower resolution image sensors. Most higher resolution image sensors are manufactured with COB. TheElec sources say that CSP can support up to 2MP resolution at as of now.
Large Format 288MP Global Shutter Sensor
November 25, 2021 By Leave a Comment
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Korea-based company Syncron presents its first CIS product - 288MP sensor with 3.5um global shutter pixels. Syncron started a long time ago as a spin-off from Kodak Korea and specializes in high-speed and high-resolution industrial digital cameras. The company has been in machine vision camera distribution business, and the new DCS288M sensor appears to be its first CIS product.
Thanks to TL for the link!
Hynix Presents All-Directional PDAF Pixel
November 24, 2021 By Leave a Comment
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EETimes: SK Hynix presents A4C quad pixel PDAF technology:"The structure of the A4C sensor is shown in figure 1. Similar to the conventional Quad sensor, it has a photodiode that converts light into an electric current and a color filter that selectively absorbs certain light wavelength. Unlike the Quad sensor, however, its structure is made up of one micro lens on each group of four of the same color of pixels in the top left (TL), top right (TR), bottom left (BL), and bottom right (BR) corners.
Compared to existing PDAF technology, the A4C sensor can calculate disparity at every pixel. It means accuracy is high and that it can secure more than 10 times the accuracy in low-light environment of less than 10 lux. Unlike conventional PDAF technology, which leverages binocular disparity, the A4C sensor leverages the disparity of four pixels on the top and bottom and the left and right corners under the micro lens. Therefore, its focus detection performance of subjects of horizontal or vertical directions is outstanding. Video demonstrates the performance gap between a conventional AF and A4C AF."
Smartphone DxOMark Score vs Silicon Area
November 23, 2021 By Leave a Comment
Entropy-Based Anti-Noise Method
November 23, 2021 By Leave a Comment
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Harbin Institute of Technology, China, publishes MDPI paper "An Entropy-Based Anti-Noise Method for Reducing Ranging Error in Photon Counting Lidar" by Mingwei Huang, Zijing Zhang, Jiaheng Xie, Jiahuan Li, and Yuan Zhao."Photon counting lidar for long-range detection faces the problem of declining ranging performance caused by background noise. Current anti-noise methods are not robust enough in the case of weak signal and strong background noise, resulting in poor ranging error. In this work, based on the characteristics of the uncertainty of echo signal and noise in photon counting lidar, an entropy-based anti-noise method is proposed to reduce the ranging error under high background noise. Firstly, the photon counting entropy, which is considered as the feature to distinguish signal from noise, is defined to quantify the uncertainty of fluctuation among photon events responding to the Geiger mode avalanche photodiode. Then, the photon counting entropy is combined with a windowing operation to enhance the difference between signal and noise, so as to mitigate the effect of background noise and estimate the time of flight of the laser pulses. Simulation and experimental analysis show that the proposed method improves the anti-noise performance well, and experimental results demonstrate that the proposed method effectively mitigates the effect of background noise to reduce ranging error despite high background noise."
Review of Ge-on-Si SPADs for SWIR LiDAR
November 22, 2021 By Leave a Comment
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Heriot-Watt University and University of Glasgow publish Journal of Physics paper "Ge-on-Si single-photon avalanche diode detectors for short-wave infrared wavelengths" by Fiona Thorburn, Xin Yi, Zoe Greener, Jaroslaw Kirkoda, Ross Millar, Laura Huddleston, Douglas J Paul, and Gerald S Buller."Germanium-on-Silicon (Ge-on-Si) based single-photon avalanche diodes (SPADs) have recently emerged as a promising detector candidate for ultra-sensitive and picosecond resolution timing measurement of short-wave infrared (SWIR) photons. Many applications benefit from operating in the SWIR spectral range, such as long distance Light Detection and Ranging (LiDAR), however, there are few single-photon detectors exhibiting the high-performance levels obtained by all-silicon SPADs commonly used for single-photon detection at wavelengths < 1 μm. This paper first details the advantages of operating at SWIR wavelengths, the current technologies, and associated issues, and describes the potential of Ge-on-Si SPADs as a single-photon detector technology for this wavelength region. The working principles, fabrication and characterisation processes of such devices are subsequently detailed. We review the research in these single-photon detectors and detail the state-of-the-art performance. Finally, the challenges and future opportunities offered by Ge-on-Si SPAD detectors are discussed."
Adaptive Multiple Non-Destructive Readout for CCD
November 22, 2021 By Leave a Comment
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Universidad Nacional del Sur (Argentina), Fermi Lab (USA) and Tel Aviv University (Israel) publish an Arxiv.org paper "Smart readout of nondestructive image sensors with single-photon sensitivity" by Fernando Chierchie, Guillermo Fernandez Moroni, Leandro Stefanazzi, Eduardo Paolini, Javier Tiffenberg, Juan Estrada, Gustavo Cancelo, and Sho Uemura."Image sensors with nondestructive charge readout provide single-photon or single-electron sensitivity, but at the cost of long readout times. We present a smart readout technique to allow the use of these sensors in visible-light and other applications that require faster readout times. The method optimizes the readout noise and time by changing the number of times pixels are read out either statically, by defining an arbitrary number of regions of interest (ROI) in the array, or dynamically, depending on the charge or energy of interest (EOI) in the pixel. This technique is tested in a Skipper CCD showing that it is possible to obtain deep sub-electron noise, and therefore, high resolution of quantized charge, while dynamically changing the readout noise of the sensor. These faster, low noise readout techniques show that the skipper CCD is a competitive technology even where other technologies such as Electron Multiplier Charge Coupled Devices (EMCCD), silicon photo multipliers, etc. are currently used. This technique could allow skipper CCDs to benefit new astronomical instruments, quantum imaging, exoplanet search and study, and quantum metrology."
Facebook Files for a Patent on Polarization Sensor for AR Glasses
November 21, 2021 By Leave a Comment
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Facebook-Meta patent application US20210360132 "Stacked Image Sensor with Polarization Sensing Pixel Array" by Manoj Bikumandla, John Enders Robertson, and Andrew Matthew Bardagjy unveils the company's ideas for the sensor for its upcoming AR glasses:
InfiRay Announces World’s First 8um Pixel Microbolometer Sensor
November 20, 2021 By Leave a Comment
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A&S Magazine: InfiRay (former IRay, Chinese name Rui Chuang Wei Na) subsidiary Arrow presents a surveillance camera featuring world's first 2MP 8um pixel InfiRay microbolometer thermal camera combined with 4MP visible one. The 8um thermal sensor has been first announced in April 2021 and is integrated into a production camera now.
Counterpoint: Average 2021 Smartphone has More than 4 Cameras
November 19, 2021 By Leave a Comment
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Counterpoint Research reports that CIS content per smartphone will expand to an average of 4.1. Despite the global components crunch, CIS growth is expected to grow by double digits to reach almost 6bn units in 2021.
“A big driver has been triple-and-above main camera setups, which accounted for two-thirds of all smartphones sold during the first half,” notes Tarun Pathak, Counterpoint’s director of smartphone research. “What’s really interesting is where a lot of that growth is coming from – Africa, Latin America, India and other emerging markets. As we move through post-COVID upgrade cycles, especially in Android heavy markets, we’re seeing OEMs offer increasingly sophisticated camera hardware to their customers across all segments.”
“High-resolution has also been an area of focus, with 48MP-plus becoming standard. Again, we’re seeing emerging markets lead in growth; and 64MP is starting to become a major segment too. High-res is very important for what is the most hotly contested price band globally – the wholesale $100-$399 category. During the second quarter, two-thirds of devices were high-res and we expect further share increases for the full year.”
“If you’re a product manager today delivering a quad cam device, then you’re probably thinking of configuring wide + ultrawide + macro + depth. But the playing field changes quickly, and we’re likely to see macro and ultrawide merge, leaving room for even more options like telephoto or time-of-flight. Increasing choice and complexity is why algorithm development has become such a critical factor in the success of camera systems,” states Ethan Qi, Counterpoint’s lead camera components analyst.
Mediatek Dimensity 9000 Supports 320MP Sensors
November 19, 2021 By Leave a Comment
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TalkAndroid, GSMArena: Mediatek presents a 4nm Dimensity 9000 application processor for future smartphones with quite impressive imaging features:
Hidden Spy Camera Detection Using Smartphones with Sony ToF Sensor
November 19, 2021 By Leave a Comment
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National University of Singapore and Korea Yonsei University present an ACM paper "LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors" by Sriram Sami, Sean Rui Xiang Tan, Bangjie Sun, and Jun Han and a poster "On Utilizing Smartphone Time-of-Flight Sensors to Detect Hidden Spy Cameras" by the same authors. The detection was tested on Samsung Galaxy S20+, S20 Ultra 5G, and Note 10+ containing VGA Sony IMX516 ToF sensor. Although the sensor has VGA resolution, the current Android API only provides a 240 × 320 image.
"Tiny hidden spy cameras concealed in sensitive locations including hotels and bathrooms are becoming a significant threat worldwide. These hidden cameras are easily purchasable and are extremely difficult to find with the naked eye due to their small form factor. The state-of-the-art solutions that aim to detect these cameras are limited as they require specialized equipment and yield low detection rates. Recent academic works propose to analyze the wireless traffic that hidden cameras generate. These proposals, however, are also limited because they assume wireless video streaming, while only being able to detect the presence of the hidden cameras, and not their locations. To overcome these limitations, we present LAPD, a novel hidden camera detection and localization system that leverages the time-of-flight (ToF) sensor on commodity smartphones. We implement LAPD as a smartphone app that emits laser signals from the ToF sensor, and use computer vision and machine learning techniques to locate the unique reflections from hidden cameras. We evaluate LAPD through comprehensive real-world experiments by recruiting 379 participants and observe that LAPD achieves an 88.9% hidden camera detection rate, while using just the naked eye yields only a 46.0% hidden camera detection rate."
Hidden Spy Camera Detection Using Smartphones with Sony ToF Sensor
November 19, 2021 By Leave a Comment
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National University of Singapore and Korea Yonsei University present an ACM paper "LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors" by Sriram Sami, Sean Rui Xiang Tan, Bangjie Sun, and Jun Han and a poster "On Utilizing Smartphone Time-of-Flight Sensors to Detect Hidden Spy Cameras" by the same authors. The detection was tested on Samsung Galaxy S20+, S20 Ultra 5G, and Note 10+ containing VGA Sony IMX516 ToF sensor. Although the sensor has VGA resolution, the current Android API only provides a 240 × 320 image.
"Tiny hidden spy cameras concealed in sensitive locations including hotels and bathrooms are becoming a significant threat worldwide. These hidden cameras are easily purchasable and are extremely difficult to find with the naked eye due to their small form factor. The state-of-the-art solutions that aim to detect these cameras are limited as they require specialized equipment and yield low detection rates. Recent academic works propose to analyze the wireless traffic that hidden cameras generate. These proposals, however, are also limited because they assume wireless video streaming, while only being able to detect the presence of the hidden cameras, and not their locations. To overcome these limitations, we present LAPD, a novel hidden camera detection and localization system that leverages the time-of-flight (ToF) sensor on commodity smartphones. We implement LAPD as a smartphone app that emits laser signals from the ToF sensor, and use computer vision and machine learning techniques to locate the unique reflections from hidden cameras. We evaluate LAPD through comprehensive real-world experiments by recruiting 379 participants and observe that LAPD achieves an 88.9% hidden camera detection rate, while using just the naked eye yields only a 46.0% hidden camera detection rate."
Hidden Spy Camera Detection Using Smartphones with Sony iToF Sensor
November 19, 2021 By Leave a Comment
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National University of Singapore and Korea Yonsei University present an ACM paper "LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors" by Sriram Sami, Sean Rui Xiang Tan, Bangjie Sun, and Jun Han and a poster "On Utilizing Smartphone Time-of-Flight Sensors to Detect Hidden Spy Cameras" by the same authors. The detection was tested on Samsung Galaxy S20+, S20 Ultra 5G, and Note 10+ containing VGA Sony IMX516 iToF sensor. Although the sensor has VGA resolution, the current Android API only provides a 240 × 320 image.
"Tiny hidden spy cameras concealed in sensitive locations including hotels and bathrooms are becoming a significant threat worldwide. These hidden cameras are easily purchasable and are extremely difficult to find with the naked eye due to their small form factor. The state-of-the-art solutions that aim to detect these cameras are limited as they require specialized equipment and yield low detection rates. Recent academic works propose to analyze the wireless traffic that hidden cameras generate. These proposals, however, are also limited because they assume wireless video streaming, while only being able to detect the presence of the hidden cameras, and not their locations. To overcome these limitations, we present LAPD, a novel hidden camera detection and localization system that leverages the time-of-flight (ToF) sensor on commodity smartphones. We implement LAPD as a smartphone app that emits laser signals from the ToF sensor, and use computer vision and machine learning techniques to locate the unique reflections from hidden cameras. We evaluate LAPD through comprehensive real-world experiments by recruiting 379 participants and observe that LAPD achieves an 88.9% hidden camera detection rate, while using just the naked eye yields only a 46.0% hidden camera detection rate."
Tetromino Binning vs Regular Binning in Low Light
November 18, 2021 By Leave a Comment
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Univeristat Erlangen-Nurnberg, Germany, publishes Arxiv.org paper "Image Super-Resolution Using T-Tetromino Pixels" by Simon Grosche, Andy Regensky, Jürgen Seiler, André Kaup."For modern high-resolution imaging sensors, pixel binning is performed in low-lighting conditions and in case high frame rates are required. To recover the original spatial resolution, single-image super-resolution techniques can be applied for upscaling. To achieve a higher image quality after upscaling, we propose a novel binning concept using tetromino-shaped pixels. In doing so, we investigate the reconstruction quality using tetromino pixels for the first time in literature. Instead of using different types of tetrominoes as proposed in the literature for a sensor layout, we show that using a small repeating cell consisting of only four T-tetrominoes is sufficient. For reconstruction, we use a locally fully connected reconstruction (LFCR) network as well as two classical reconstruction methods from the field of compressed sensing. Using the LFCR network in combination with the proposed tetromino layout, we achieve superior image quality in terms of PSNR, SSIM, and visually compared to conventional single-image super-resolution using the very deep super-resolution (VDSR) network. For the PSNR, a gain of up to +1.92 dB is achieved."
Canon U.S.A. Inc., to Provide 120 EF 400mm f/2.8L IS II USM Lenses for Expansion of the Dragonfly Telephoto Array Project
November 18, 2021 By Leave a Comment
Event-Based Imaging Thesis
November 18, 2021 By Leave a Comment
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Université Grenoble Alpes publishes Maxence Bouvie's PhD thesis "Study and design of an energy efficient perception module combining event-based image sensors and spiking neural network with 3D integration technologies."
"Event-driven acquisition permits to generate sparse data, with high acquisition speed at the order of the microsecond, while conserving an exceptionally large dynamic range. Event-driven imagers are thus highly suited for deployment in situations where speed and application robustness are of high importance. However, event-based image sensors come with major drawbacks that render them nearly impracticable in embedded situations. They are noisy, poorly resolved and generate an incredible amount of data relatively to their resolution. This Ph.D. study thus focuses on understanding how they can be used, and how their drawbacks can be alleviated. The work explores bio-inspired applications for tasks where frame-based methods are already successful but present robustness flaws because classical frame-based imagers cannot be intrinsically high speed and high dynamic range. This manuscript provides leads to understand and decide why some algorithms matches more than other to their novel data type. It also tries to touch upon the reasons these sensors cannot be used as they are, but how they could be efficiently integrated into classical frame-based algorithmic pipelines and systems by deploying motion compensation of the raw data. In addition, a bio-inspired hardware-based solution to simultaneously reduce the output bandwidth and filter out noise, directly at the output of a grid of event-based pixels, is presented. It consists in the hardware implementation of a bio-inspired convolutional neural network accelerator - a neuromorphic processor – distributed near-sensor, that takes major advantages from being conceived toward a three-dimensional integration. This system was designed for minimizing its power budget, at the 28nm FDSOI node, and demonstrates a 2.86pJ per synaptic operation – or 93.0aJ per input event per pixel. On top of that, it is scalable for megapixel resolution sensors without induced overhead."
Appendix C (pp. 134-135) gives a nice comparison of Samsung, Prophesee (Sony), and Celepixel (Omnivision) event-driven sensor approaches.
Recent Videos: Teledyne, Omron, EnliTech, Aeye, MIPI
November 18, 2021 By Leave a Comment
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Teledyne publishes 2 videos: "3D ToF Imaging" and "Clarity at High Speed."Omron presents ins optical sensing solutions, including ToF and thermal imagers:
Enli Technology has recently publishes a number of videos on its CMOS image sensor testers:
Aeye Chief R&D Officer, Hod Finkelstein, presents at IEEE Photonics Conference 2021:
Synopsys presents MIPI A-PHY system modeling:
Nikon releases the NIKKOR Z 28mm f/2.8 for the Nikon Z mount system
November 18, 2021 By Leave a Comment
Smartsens Announces 8MP AI (Advanced Imaging) Sensor
November 17, 2021 By Leave a Comment
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SmartSens announces the SC830AI, an 8MP CMOS sensor with a 1.5µm pixel size and a 1/2.7” optical format to enable 4K video performance for security camera applications.
Himax Reports Top-Tier Design Win for its Low Power Sensor
November 15, 2021 By Leave a Comment
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GlobeNewswire: Himax quarterly earning release updates about its WiseEye ultra-low power image sensing solution:"Himax is pleased to report that the design-win with a top-tier name for a mainstream application that it indicated earlier is on track to enter into mass production in Q4. Equally important, the number of awarded projects is growing quickly, covering a broad range of applications, including notebook, home appliances, utility meter, automotive, battery-powered surveillance camera, panoramic video conferencing, and medical, just to name a few. Some applications are already slated for mass production at the end of this year. In addition to consumer electronics players who aim to add AI capability to their products, within just one year since Himax started sampling, Company’s WiseEye solution has also drawn much attention from cloud service providers who look for secure and low-power edge AI devices to help collect big data for their cloud-based services."
Omnivision to Qualify Medical-Grade 8MP 60fps RGB-IR Sensor for Endoscopes
November 15, 2021 By Leave a Comment
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BusinessWire: OmniVision and Diaspective Vision GmbH announce their partnership in the development of a new type of endoscopic camera, the MALYNA system, which is based on multispectral imaging technology.The MALYNA camera uses OmniVision’s OH08B CMOS sensor. Diaspective Vision will be adding a second OH08B sensor to the MALYNA and the sensors will be synchronized to provide a 3D stereoscopy image. The OH08B is the first 8MP medical-grade image sensor to use OmniVision’s Nyxel NIR technology. The 1/1.8” optical format, 2.0µm PureCel Plus-S pixel image sensor offers 4K2K resolution at 60 fps and supports HDR.
Canon announces Naotatsu Kaku as the Grand Prize winner for its New Cosmos of Photography 2021 (44th edition) photo competition
November 15, 2021 By Leave a Comment
Infineon Forecasts ToF Market Growth
November 15, 2021 By Leave a Comment
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Infineon investor presentation shows the company's view on ToF market size and its products:
Yet Another Color Router Paper
November 14, 2021 By Leave a Comment
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InterDigital publish a MDPI paper "Optical Efficiency Enhancement of Nanojet-Based Dielectric Double-Material Color Splitters for Image Sensor Applications" by Oksana Shramkova, Valter Drazic, Bobin Varghese, Laurent Blondé, and Valerie Allié.
"We propose a new type of color splitter, which guides a selected bandwidth of incident light towards the proper photosensitive area of the image sensor by exploiting the nanojet (NJ) beam phenomenon. Such splitting can be performed as an alternative to filtering out part of the received light on each color subpixel. We propose to split the incoming light thanks to a new type of NJ-based near-field focusing double-material element with an insert. To suppress crosstalk, we use a Deep-Trench Isolation (DTI) structure. We demonstrate that the use of a dielectric insert block allows for reduction in the size of the color splitting element. By changing the position of the DTI, the functionality of separating blue, green and red light can be improved."
