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Counterpoint Research says that iPhone 12 cameras cost $3.6 less than iPhone 11's:ToF News: Chronoptics, Opnous, Microsoft
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Chronoptics announces its ToF noise filter and ToF camera based on Melexis VGA sensor:Samsung Adds 4th Sensor to its 108MP Lineup
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BusinessWire: Samsung introduces its latest 108MP mobile sensor, the 0.8um 1/1.33-inch ISOCELL HM3. This is the 4th 108MP sensor in the company's lineup after HMX, HM1, and HM2.CES News: Intel Demos Realsense ID and MEMS LiDAR
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Intel posted two videos with demos of its recently announced Realsense ID and L515 MEMS LiDAR:CES News: Trieye, Orbbeck, Guide Sensmart, Sense Photonics, Innolux, Nuralogix, Opsys, Pioneer, Ibeo
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Trieye presents the recent progress with its low-cost SWIR sensor, including DMS application:Wuhan Guide Sensmart Tech Co, a subsidiary of Guide Infrared, presents its compact thermal imaging modules for smartphones:
MIPI A-PHY Gears
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MIPI publishes an article talking about the A-PHY standard gears. The scaling is quite impressive: speeds up to 16Gbps per lane with PAM4, 8, and 16(!) modulation schemes. The symbol rate stays at 4Gs/s, apparently limited by the long physical link bandwidth:Sony FE 35mm f1.4 GM review
CES News: NII, AIStorm, Innovusion, Brightway, Mcnex
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Japan National Institute of Informatics provides a protection from fingerprint recognition from camera images:A Conversation with Eric Fossum
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Youtube channel Reliability Matters publishes "Episode 59: A Conversation with CMOS Image Sensor Inventor Dr. Eric Fossum."Omnivision Unveils 1080p60 Sensor for Mainstream Security Cameras
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BusinessWire: OmniVision announces the OS02H10, a 2.9um, 1080p image sensor adding the NIR and low light performance of its Nyxel and PureCel Plus technologies to mainstream surveillance cameras. This sensor also offers multiple HDR options at 60 fps. Additionally, when paired with the designer’s selected platform, the OS02H10 can enable a system ultra low power mode for battery-powered cameras with AI functionality.ToF Sensor with Delta-Sigma Feedback
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MDPI paper "High-Linearity High-Resolution Time-of-Flight Linear-Array Digital Image Sensor Using Time-Domain Feedback" by Juyeong Kim, Keita Yasutomi, Keiichiro Kagawa, and Shoji Kawahito from Shizuoka University, Japan, presents a sigma-delta feedback approach to linearize a ToF sensor response:
"This paper presents a high-linearity high-resolution time-of-flight (ToF) linear-array digital image sensor using a time-domain negative feedback technique. A coarse ToF measurement loop uses a 5-bit digital-to-time converter (DTC) and a delayed gating-pulse generator for time-domain feedback to find the zero of the difference between ToF and the digital estimate of the gating-pulse delay while maintaining a constant operating point of the analog readout circuits. A fine ToF measurement uses a delta-sigma modulation (DSM) loop using the time-domain feedback with a bit-stream signal form. Because of the self-contained property of the DSM for low distortion and noise exploited by the oversampling signal processing, the proposed technique provides high-linearity and high-range resolution in the fine ToF measurement. A prototype ToF sensor of 16.8 × 16.8 μm2 two-tap pixels and fabricated in a 0.11 μm (1P4M) CMOS image sensors (CIS) process achieves +0.9%/−0.47% maximum nonlinearity error and a resolution of 0.24 mm (median) for the measurement range of 0–1.05 m. The ToF sensor produces an 11-bit fully digital output with a ToF measurement time of 22.4 ms."
AI Sensor with In-Pixel Charge Domain Processing
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Arxiv.org paper "An Ultra Fast Low Power Convolutional Neural Network Image Sensor with Pixel-level Computing" by Ruibing Song, Kejie Huang, Zongsheng Wang, Haibin Shen from Zhejiang University, China, is also published in IEEE Transactions on Circuits and Systems in December 2020.
"The separation of the data capture and analysis in modern vision systems has led to a massive amount of data transfer between the end devices and cloud computers, resulting in long latency, slow response, and high power consumption. Efficient hardware architectures are under focused development to enable Artificial Intelligence (AI) at the resource-limited end sensing devices. This paper proposes a Processing-In-Pixel (PIP) CMOS sensor architecture, which allows convolution operation before the column readout circuit to significantly improve the image reading speed with much lower power consumption. The simulation results show that the proposed architecture enables convolution operation (kernel size=3*3, stride=2, input channel=3, output channel=64) in a 1080P image sensor array with only 22.62 mW power consumption. In other words, the computational efficiency is 4.75 TOPS/w, which is about 3.6 times as higher as the state-of-the-art."
CES News: Intel Shows its FMCW LiDAR
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BusinessWire: Intel-Mobileye CTO Amnon Shashua shows the company FMCW LiDAR named EyeC. Its mass production is expected to start in 2025:CES News: Intel Shows its FMCW LiDAR
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BusinessWire: Intel-Mobileye CTO Amnon Shashua shows the company FMCW LiDAR named EyeC. Its mass production is expected to start in 2025:CES News: Intel Shows its FMCW LiDAR
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BusinessWire: Intel-Mobileye CTO Amnon Shashua shows the company FMCW LiDAR named EyeC. Its mass production is expected to start in 2025:Omnivision Unveils 3MP Automotive Sensor
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BusinessWire: OmniVision announced the OX03F10 automotive sensor. This sensor expands OmniVision’s ASIL-C viewing camera family with higher 3MP resolution and cybersecurity features that are required as vehicle designers make the transition from Level 2 and 3 ADAS to higher levels of autonomy. The OX03F10 also maintains the family’s unique combination of a large 3.0um pixel with a HDR of 140dB and LED flicker mitigation. The sensor is offered in a 1/2.44” optical format and features a 4-lane MIPI CSI-2 interface.
“In addition to excellent image quality across all lighting conditions, higher resolution and cybersecurity are becoming must haves for the designers of viewing cameras—particularly for SVS,” said Kavitha Ramane, staff automotive product marketing manager at OmniVision. “Our new OX03F10 maintains OmniVision’s unique combination of the industry’s top HDR and LFM capabilities over the entire automotive temperature range, along with ASIL-C functional safety and the best low light performance, while adding the 3MP resolution and cybersecurity features that are required as designers begin to integrate viewing cameras into autonomous vehicle systems.”
This new OX03F10 image sensor is available now for limited sampling in a-CSP and a-BGA packages, and is planned to be AEC-Q100 Grade 2 certified.
Omdia: Samsung Increases its CIS Prices by 40%
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IFNews quotes Omdia reports that 5MP and 8M CIS for low-end and mid-range smartphones are in short supply now. As a result, Samsung has increased the prices by 40% starting December 2020, while other CIS suppliers have increased their prices by ~20%.Smartsens Announces 9MP APS-C Sensor with 3D Stacked Voltage Domain Global Shutter
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Smartsens launches a 9MP Global Shutter sensor product for Intelligent Transportation System (ITS) applications, the SC910GS. Also, the previously launched 4MP SC410GS targets the same market.Yole Webcast on Rise of Thermal Imaging Market
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Yole Developpement publishes its webcast "Thermal imaging: The rise of fever detection – global market applications and evolution" held on Dec. 8, 2020.Image Sensor Noise Tutorial
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Richard Crisp, VP of New Product Development for Etron, continues his image sensor tutorial series. The part 5 title is "Eliminate noise sources in CMOS image sensor designs:"
The following actions can be taken to minimize the noise:Dark noise components can be reduced by:
- Reducing exposure time
- Reducing operating temperature of sensor
- Dark fixed pattern noise for non-saturated pixels can be removed by dark subtraction a.k.a. despiking. It involves subtracting a dark frame from the image frame, pixel by pixel.
- Fixed pattern noise can be removed via a process called flat fielding. The process involves dividing the image frame by a pixel calibration image frame on a pixel-by-pixel basis. The calibration frame is simply a high SNR image of a uniformly illuminated featureless background taken using a focused optical system.
The only noise components that cannot be removed from an image with non-saturated pixels are the read noise, the image shot noise and the dark shot noise. If it is feasible to cool the sensor, the dark shot noise can be reduced to arbitrarily low levels so as to be a non-factor.
Emberion Productizes Graphene-based VGA SWIR Sensor
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Emberion publishes a product page for its graphene-based VGA imager and camera:- Based on Emberion’s VGA-resolution VIS-SWIR image sensor: spectral response range spanning from 400 nm up to 2000 nm
- Fully functional camera core ready for vision system integration comprising implementations for sensor readout & control, AD conversion, calibration, image pre-processing, thermal control and power management
- Optimized readout modes: full VGA & selected ROIs
- A standard C-mount optical interface with one inch sensor form factor
- Potential applications include: machine vision, multispectral and hyperspectral imaging, night vision, medical, automotive, defense
Gigapixel X-Ray Camera
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Arxiv.org paper "Billion-pixel X-ray camera (BiPC-X)" by Zhehui Wang, Kaitlin Anagnost, Cris W. Barnes, D. M. Dattelbaum, Eric R. Fossum, Eldred Lee, Jifeng Liu, J. J. Ma, W. Z. Meijer, Wanyi Nie, C. M. Sweeney, Audrey C. Therrien, Hsinhan Tsai, and Xin Que from Los Alamos National Laboratory, Dartmouth College, Gigajot, and Universit´e de Sherbrooke presents a 21MP tiled prototype:Intel Announces RealSense ID
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Intel unveils Realsense ID 3D camera F450 based on active stereo approach:LiDAR News: Livox, Aeva, Sense, Fraunhofer, Xilinx
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BusinessWire: Xpeng, a Chinese electric vehicle company, is to deploy Livox automotive-grade lidar technology in Xpeng’s new production model in 2021. Livox is Xpeng’s first partner in lidar technology.
Livox is enhancing the detection range of its Horiz sensor to 150m (for objects at 10% reflectivity), enabling Xpeng’s XPILOT system to easily detect any remote obstacle while on highways and urban roads. Livox’s customized solution for Xpeng also includes a new “ultra FPS” lidar technology concept. Through a cleverly designed rotating-mirror technology, the objects within the lidar’s ROI will acquire a 20Hz point cloud data when the whole system is working at a frame rate of 10Hz. The new ROI point cloud density is hence increased to 144 lines equivalent at 0.1 second without the need for extra laser transmitters. The increased point cloud density enables the faster detection of tiny objects on the road surface, including pedestrians, bicycles or even traffic cones. The horizontal FOV of Horiz has also reached 120°. This greatly enhances the smart driving experience by resolving many persistent challenges faced by drivers, including the removal of blind spots against cut-in vehicles.
PRNewswire: Aeva and InterPrivate SPAC announce that Sylebra Capital (Hong Kong) invests $200M on top of the investment in the merger deal between Aeva and InterPrivate. The combined proceeds from this financing, the previously announced private placement, and InterPrivate's cash in trust are now expected to exceed $560M.
PRNewswire: Sense Photonics announces that it has achieved an industry-first by successfully demonstrating 200-meter detection with its proprietary global shutter flash LiDAR system.
The Sense system uses proprietary emitter and SPAD sensor technologies. Sense Silicon, a BSI SPAD device with more than 140,000 pixels, is designed to work seamlessly with the Sense Illuminator, a distributed 940nm laser array of more than 15,000 VCSELs. Together, they are the core building blocks of Sense's camera-like architecture enabling the first high-resolution, eye-safe, global shutter flash LiDAR that can detect 10% reflective targets at 200 meters range in full sunlight outputting tens of millions of points per second. Global shutter acquisition sets a new standard in the long-range LiDAR industry by removing the need for complex motion blur correction while allowing pixel-level, frame-by-frame fusion with RGB camera data.
Sense Photonics says that "Our core technology of VCSELs and SPADs can be paired with different lenses and diffusers to create short-range and long-range products of various FOV and resolutions. We can go as wide as 180 x 90 FOV with uniform angular resolution that exceeds 0.4 degrees for short-range needs or we can go as narrow as 15 x 7.5 to achieve uniform angular resolution of 0.025 degrees for mid or long-range needs. The inherent architecture flexibility enables us to deliver on a broad range of automotive applications. More to come in a forthcoming announcement."
"We have delivered what industry experts thought was impossible due to our 940nm wavelength, and have created a revolutionary new architecture with the Sense Illuminator, Sense Silicon, and our state-of-the-art signal processing pipeline to miniaturize the data output," said Hod Finkelstein, CTO, Sense Photonics. "Our LiDAR systems will solve the shortcomings that OEMs, Tier 1 suppliers, and Robotaxi companies have been dealing with in competing LiDAR technologies."
Geared for mass-market automotive adoption, Sense uses mature manufacturing and cost-effective assembly processes used in today's consumer technology industries. Sense's flash architecture eliminates the need for fine alignment between emitter & receiver, maintaining sensor calibration and depth accuracy during shock and vibration. Additionally, the architecture is designed as a platform to allow for customer-specific product variations with a simple change in optics and the first to be able to provide both short- and long-range capabilities from the same architecture.
Customer evaluation systems are being finalized and will be available mid 2021 to meet current demand requirements, with start of production being planned for late 2024.
Fraunhofer Institute for Photonic Microsystems in Dresden (IPMS) designs and manufactures MEMS mirrors for Aeye LiDAR:
"The MEMS scanner is made of monocrystalline silicon, a material with several advantages: it is not only robust and proof against material fatigue but it has a high temperature and shock resistance. The silicon has a reflective coating that intensifies the reflection of the light. Thanks to positioning technology integrated in the chip, it is possible to continuously track where the mirror steers the laser beam and which position is being measured. This in turn enables correction to the point of operation."
SemiconductorEngineering publishes Xilinx promotional article saying that ZVision, Robosense, Baraja, Benewake, Blickfeld, Hesai, Innovusion, Opsys, OURS, Ouster, Phantom Intelligence, Pointcloud, SureStar, and many others use Xilinx platform for their LiDARs signal processing.
Omnivision Announces 40MP Sensor with 1.008um Pixel and Multi-Sampling CDS
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BusinessWire: OmniVision announces the OV40A, a 40MP, 1.008um pixel sensor that features super high gain and de-noise technologies in the 1/1.7” optical format. This sensor also offers multiple HDR options and supports 1080p slow-motion and high-speed video captures at 240 fps with PDAF.
“TSR estimates there will be 855 million image sensors with 40MP or higher resolution shipped to smartphone manufacturers in 2021, which presents a huge opportunity for this new image sensor,” said James Liu, senior technical marketing manager at OmniVision. “The OV40A’s unique combination of features is bringing flagship-level performance to the main, wide, ultrawide and video cameras in this fast-growing market segment.”
The OV40A supports super high gain of up to 256x with embedded multi-sampling de-noise functionality for enhanced low-light performance. This sensor also offers HDR through selective conversion gain, along with 2- and 3-exposure staggered HDR timing.
Built on OmniVision’s PureCel Plus-S stacked die technology, the OV40A integrates an on-chip, 4-cell (4C) color filter array and hardware remosaic, which provides high quality, 40MP Bayer output in real time. For low-light conditions, this sensor can use near-pixel binning to output a 10MP image, as well as 4K2K and 1080p video, with four times the sensitivity, yielding 2.0um pixel-equivalent low-light performance.
Output formats include 40MP at 30 fps, 10MP with 4C binning at 120 fps, 4K2K video at 60 fps and 1080p video at 240 fps. All of these formats can be captured with PDAF. Other features include a CPHY interface, multi-camera sync and a 34.7 degree CRA.
Samples of the new OV40A image sensor are available now.
sCMOS Sensors Stand-Off
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Arxiv.org paper "Evaluation of scientific CMOS sensors for sky survey applications" by Sergey Karpov, Armelle Bajat, Asen Christov, Michael Prouza, and Grigory Beskin from Institute of Physics, Czech Academy of Sciences, Prague, Czech Republic, and cKazan Federal University, Kazan, Russia compares BAE-Fairchild Imaging sCMOS sensor with Gpixel's:Omnivision Presents 1.998um NIR-enhanced Pixel and Sensor
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BusinessWire: OmniVision announces the OS04C10, a 1.998um pixel, 4 MP sensor for both IoT and home security cameras.
“AI-enabled IoT and home security cameras require excellent performance across all lighting conditions for accurate algorithm detection of faces, license plates and other items. Additionally, these cameras are often battery-powered,” said Cheney Zhang, senior marketing manager for the security segment at OmniVision. “The OS04C10 maintains the same high 4MP resolution as our popular OV4689 sensor, while adding improved NIR, ultra low light and HDR performance for these IoT and home security cameras, along with a new ultra low power mode that consumes 98.9% less power than the normal mode for longer battery life.”
The sensor features NIR responce-enhancing Nyxel technology and 2-exposure HDR.
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Omnivision Unveils 32MP Sensor with 0.702um Pixels for Selfies
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BusinessWire: OmniVision announces the OV32B sensor, featuring a 0.702um pixel to provide 32 MP resolution in a 1/3” optical format. The OV32B also supports 2- and 3-exposure HDR timing for up to 8MP video modes and still previews. It features a 4-cell color filter array and on-chip hardware re-mosaic, which provides high quality, 32 MP Bayer output in real time—a feature that can be challenging for competitors to achieve in the 1/3” optical format.
“In 2021, TSR estimates there will be 244 million image sensors with 32 MP resolution shipped to smartphone manufacturers for use in selfie cameras,” said Arun Jayaseelan, staff marketing manager at OmniVision. “The OV32B strikes the perfect balance between small size and high resolution that the designers of these cameras are looking for.”
To boost autofocus accuracy, especially in low light, this sensor offers the option to integrate type-2, 2x2 microlens phase detection autofocus (ML-PDAF). It also provides a CPHY interface for greater throughput using fewer pins, as well as a DPHY interface. Output formats include 32 MP at 15 fps, 8 MP at 60 fps and 6 MP (16:9) at 90 fps—all with 4-cell binning. Additionally, the sensor can output 1080p video at 120 fps, 1.5 MP captures (16:9) at 240 fps and 720p video at 360 fps.
Samples of the OV32B image sensor are available now.
Teledyne to Acquire FLIR for $8B
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Teledyne and FLIR jointly announce that they have entered into a definitive agreement under which Teledyne will acquire FLIR in a cash and stock transaction valued at approximately $8.0 billion.
“At the core of both our companies is proprietary sensor technologies. Our business models are also similar: we each provide sensors, cameras and sensor systems to our customers. However, our technologies and products are uniquely complementary with minimal overlap, having imaging sensors based on different semiconductor technologies for different wavelengths,” said Robert Mehrabian, Executive Chairman of Teledyne. “For two decades, Teledyne has demonstrated its ability to compound earnings and cash flow consistently and predictably. Together with FLIR and an optimized capital structure, I am confident we shall continue delivering superior returns to our stockholders.”












