Sony Sees No Significant Coronavirus Impact on CIS Sales

Image Sensors World        Go to the original article...

Sony reports its March 31-ended fiscal year results and updates on coronavirus impact:

  • Now I will discuss the impact of the coronavirus on the I&SS segment.
  • As of today, there has been no major impact from the coronavirus on our manufacturing facilities in Japan, which are operating as usual.
  • Moreover, we understand that the factory operations and supply chains of our major mobile customers have been recovering.
  • On the other hand, we believe that the decrease in shipments of our image sensors was relatively minor compared to the impact the coronavirus had on the manufacturing and sales of our mobile customers in the fourth quarter ended March 31, 2020, so there is a possibility that inventory in the supply chain of those customers has increased.
  • In addition, we are monitoring how much the final outlet for our products, the smartphone market, may decelerate going forward.


Talking about the near future expectations, Sony states:

  • Now I would like to discuss the current state of our I&SS business.
  • Considering the deceleration of the smartphone market due to the impact of the coronavirus, there is a possibility that image sensor sales this fiscal year will be flat year-on-year.
  • At this point in time, there is no change to our view that image sensors will drive improvements in the functionality of cameras, which are a major differentiating factor for smartphones, or our view as to the expansion of demand over the mid- to longterm. Thus, we have already decided to invest more than 80% of the cumulative capital expenditure we planned to make over the three years of our mid-range plan.
  • However, given the uncertain operating environment, we will postpone as long as possible decisions regarding the remaining capital expenditures so we can make appropriate and timely decisions after gathering more market information.
  • In addition, we will be disciplined in our prioritization of research and development spending, but we plan to maintain the current level of spending as we manage Sony for the mid- to long-term.

Go to the original article...

SPAD ToF Imager Paper

Image Sensors World        Go to the original article...

IEEE JSSC publishes an open access paper "A 32 x 128 SPAD-257 TDC Receiver IC for Pulsed TOF Solid-State 3-D Imaging" by Sahba Jahromi, Jussi-Pekka Jansson, Pekka Keränen, and Juha Kostamovaara from University of Oulu, Finland.

"A single-chip receiver for pulsed laser direct time-of-flight 3-D imaging applications has been realized in a 0.35-μm HV CMOS technology. The chip includes a 32 x 128 single-photon avalanche diode (SPAD) array [35% fill factor (FF)] and 257 time-to-digital converters (TDCs) with a ~78-ps resolution. Two adjacent rows (2 x 128 SPADs) at a time can be selected for simultaneous measurement, i.e., 16 measurement cycles are needed to cover the whole array. SPADs are capable of operating in a gated mode in order to suppress dark and background light-induced detections. The IC was designed to be used in a solid-state 3-D imaging system with laser illumination concentrated in both time (short sub-ns pulses) and space (targeting only the active rows of the SPAD array). The performance of the receiver IC was characterized in a solid-state 3-D range imager with flood-pulsed illumination from a laser diode (LD)-based transmitter, which produced short [~150-ps full-width at half-maximum (FWHM)] high-energy (~3.8-nJ pulse/~14-W peak power) pulses at a pulsing rate of 250 kHz when operating at a wavelength of 810 nm. Two detector/TDC ICs formed an 8k pixel receiver, targeting a field-of-view of ~42° x 21° by means of simple optics. Frame rates of up to 20 fps were demonstrated with a centimeter-level precision in the case of Lambertian targets within a range of 3.5 m."

Go to the original article...

Sony Unveils SWIR Sensors for Industrial Applications

Image Sensors World        Go to the original article...

Sony announces the upcoming release of two new SWIR image sensors for industrial equipment. The new sensors capture images in the visible and invisible spectrum and boast a compact size made possible by the industry's smallest 5μm pixel size.

The new products employ Sony's original SenSWIR technology, in which photodiodes are formed on an InGaAs compound layer and are connected via Cu-Cu connection with the Si layer which forms the readout circuit.

When bonding the InGaAs layer, which forms the light receiving photodiodes, and the Si layer, which forms the readout circuit, using conventional bump connections, it is necessary to secure a certain bump pitch, which makes it difficult to achieve a smaller pixel size compared to current industrial CMOS sensors. This had made miniaturization a serious challenge. The Sony's new products, however, feature a smaller pixel pitch made possible by the Cu-Cu connection, resulting in the industry's smallest 5μm pixel size. This, in turn, makes it possible to reduce camera size while maintaining SXGA (IMX990)/VGA (IMX991) resolution, contributing to improved testing precision.

Sony's original SWIR image sensor technology is used to make the top InP layer,*4 which absorbs visible light, thinner, making it possible to transmit light to the InGaAs layer underneath, delivering high quantum efficiency even in the visible range. This design enables imaging in a broad range of wavelengths from 0.4μm to 1.7μm, enabling the use of a single camera instead of the conventional multiple that were required to capture visible light and SWIR.

Go to the original article...

Hitachi-LG LiDAR Monitors Hand Washing

Image Sensors World        Go to the original article...

Hitachi-LG posts another use case for its LiDAR - hand wash monitoring:

"A Hand Wash Monitoring Solution utilizes 3D LiDAR technology. It measures whether the washroom user washed their hands properly; washed for more than 20 seconds, used soap, and wiped their hands with a towel."

Go to the original article...

Hitachi-LG LiDAR Monitors Hand Washing

Image Sensors World        Go to the original article...

Hitachi-LG posts another use case for its LiDAR - hand wash monitoring:

"A Hand Wash Monitoring Solution utilizes 3D LiDAR technology. It measures whether the washroom user washed their hands properly; washed for more than 20 seconds, used soap, and wiped their hands with a towel."

Go to the original article...

On-Line EMVA 1288 Course

Image Sensors World        Go to the original article...

Framos hosts a two-day online training on the EMVA 1288 standard on May 27-28. The speaker is Prof. Bernd Jähne from Heidelberg University, a member of the EMVA board.

At the end of the course, participants will have the option of taking a written examination to gain certification as an EMVA 1288 Expert. The certificate shows that the holder can successfully carry out measurements in accordance with EMVA 1288, and correctly interpret the results.

Go to the original article...

On-Line EMVA 1288 Course

Image Sensors World        Go to the original article...

Framos hosts a two-day online training on the EMVA 1288 standard on May 27-28. The speaker is Prof. Bernd Jähne from Heidelberg University, a member of the EMVA board.

At the end of the course, participants will have the option of taking a written examination to gain certification as an EMVA 1288 Expert. The certificate shows that the holder can successfully carry out measurements in accordance with EMVA 1288, and correctly interpret the results.

Go to the original article...

ON Semi Reports Q1 2020 Results

Image Sensors World        Go to the original article...

BusinessWire: ON Semi reports Q1 results with some updates about its image sensor business:

"During the first quarter, we secured a major design win for ADAS image sensors with a Japanese OEM. This OEM is one of the largest automakers in the world. This win underscores our global leadership in ADAS image sensors, and highlights customer confidence in our technology in a highly safety critical application.

Our engagement with e-commerce customers is growing at a rapid pace, and we expect ecommerce related applications will be a strong driver of our industrial image sensor business. We believe that growth in our e-commerce related business will be driven by increasing e-commerce volumes, increasing warehouse automation, and adoption of delivery robots. Through our early engagement with industry leaders in e-commerce, we have built a strong design win pipeline for our CMOS image sensors for warehouse automation and delivery robots.
"

Go to the original article...

Yole about iPad Pro SPAD LiDAR: Sony Landed on the Moon Without Us Knowing

Image Sensors World        Go to the original article...

Yole Developpement publishes an article "With the Apple iPad LiDAR chip, Sony landed on the moon without us knowing" by its Principal Analyst Pierre Cambou and Taha Ayari, Technology & Cost Analyst at System Plus Consulting.

"...once we studied the cross-section an all-new story unfolded. In front of us lies the first ever consumer CMOS Image Sensor (CIS) product with in-pixel connection – and, yes, it is a single photon avalanche diode (SPAD) array. There was a space race for this new generation of 3D sensing chip, but so far, everyone thought that the winner would be for ST Microelectronics, Yole Développement included.

ST Microelectronics seemed to have the lead in this domain, as it was already shipping millions of SPAD detectors. This was until Sony’s technology dominance entered the race. In three years’ time Sony’s process engineers realized what many thought impossible in other places. They brought to reality a product that will probably have long lasting consequences in the consumer world but also in industrial robotics, automotive, in short all sensing markets.

A year ago, when Sony renamed its semiconductor division “Imaging & Sensing”, the sensing part was limited to Industrial Machine Vision image sensors, which remained a high-end niche market. Then it made two separate moves. The first was the supply of iToF sensors to Huawei and Samsung, generating in the order of $300M in 2019. The second was this design win of dToF sensors for Apple iPads, which could eventually end up in iPhones. Sony’s sensing revenues will probably exceed $1B in 2020 out of a business just surpassing the $10B landmark. This successful transition from imaging to sensing has been instrumental to Sony’s continuous strength in the CIS market. It will be a building block for the prosperous future of the division.

In term of technology innovation, the LiDAR module of the new iPad Pro is as packed as the Apollo program’s pioneering Eagle lander. In a small footprint it is a complex optical module, holding the sensor, a Vertical Cavity Surface Emitting Laser (VCSEL) and a VCSEL driver.

The Sony’s 30K resolution, 10µm pixel size sensor is indeed using dToF technology with a SPAD array. The in-pixel connection is realized between the CIS and the logic wafer with hybrid bonding Direct Bonding Interconnect technology, which is the first time Sony is using 3D stacking for its ToF sensors. Deep trench isolation, trenches filled with metal, completely isolate the pixels.
"

Go to the original article...

iToF Design Tips from Lucid Vision Labs

Image Sensors World        Go to the original article...

Lucid Vision Labs publishes a video "Time-of-Flight Design Tips: Tips to Boost 3D Performance and Cut Integration Time & Cost." The company's camera is based on Sony DepthSense iToF sensor IMX556 with VGA resolution and 10um pixels:

Go to the original article...

Omdia and Dahua on Surveillance Market Opportunities in Coronavirus Times

Image Sensors World        Go to the original article...

Go to the original article...

Omdia and Dahua on Surveillance Market Opportunities in Coronavirus Times

Image Sensors World        Go to the original article...

Go to the original article...

Advanced On-Line Course on Image Sensor Technology

Image Sensors World        Go to the original article...

CEI announces a special coronavirus edition of Advanced Course on Image Sensor Technology by Albert Theuwissen. The course is to be held on-line on June 1-5, 2020. The course is divided into 5 sessions of 4 hours each.

Go to the original article...

LiDAR News, Quanergy, Luminar, Renault

Image Sensors World        Go to the original article...

Quanergy adapts its LiDARs to check social distancing in public places:



IEEE Spectrum, Arstechnica: Volvo partners with Luminar to deliver Level 3 hands-free, eyes-off-the-road highway driving in 2022. Volvo, owned by Geely Holdings of China, said that models based on its upcoming SPA2 platform (for “Scalable Product Architecture”) will be hardware-enabled for Luminar’s roof-mounted lidar system, including the upcoming electric Polestar 3 and a range of Volvo-branded cars and SUVs. Henrik Green, Volvo CTO, says the optional “Highway Pilot” system would allow full autonomous driving, but only “when the car determines it is safe to do so.”

At that point, your Volvo takes responsibility for the driving and you can relax, take your eyes off the road and your hands off the wheel,” Green said. “Over time, updates over-the-air will expand the areas in which the car can drive itself. For us, a safe introduction of autonomy is a gradual introduction.

Volvo car roof with integrated Luminar LiDAR



Renault publishes Arxiv.org paper "Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems" by You Li, Javier Ibanez-Guzman.

"This article presents a review of state-of-the-art automotive LiDAR technologies and the perception algorithms used with those technologies. LiDAR systems are introduced first by analyzing the main components, from laser transmitter to its beam scanning mechanism. Advantages/disadvantages and the current status of various solutions are introduced and compared. Then, the specific perception pipeline for LiDAR data processing, from an autonomous vehicle perspective is detailed. The model-driven approaches and the emerging deep learning solutions are reviewed. Finally, we provide an overview of the limitations, challenges and trends for automotive LiDARs and perception systems."

Go to the original article...

Ge-on-Si SPAD with High PDE

Image Sensors World        Go to the original article...

Nature paper "High performance planar germanium-on-silicon single-photon avalanche diode detectors" by Peter Vines, Kateryna Kuzmenko, Jarosław Kirdoda, Derek C. S. Dumas, Muhammad M. Mirza, Ross W. Millar, Douglas J. Paul, and Gerald S. Buller from Heriot-Watt University and University of Glasgow, UK, present clloed SPADs with over 30% PDE in SWIR.

"Here we show a new generation of planar germanium-on-silicon (Ge-on-Si) single-photon avalanche diode (SPAD) detectors for short-wave infrared operation. This planar geometry has enabled a significant step-change in performance, demonstrating single-photon detection efficiency of 38% at 125 K at a wavelength of 1310 nm, and a fifty-fold improvement in noise equivalent power compared with optimised mesa geometry SPADs. In comparison with InGaAs/InP devices, Ge-on-Si SPADs exhibit considerably reduced afterpulsing effects. These results, utilising the inexpensive Ge-on-Si platform, provide a route towards large arrays of efficient, high data rate Ge-on-Si SPADs for use in eye-safe automotive LIDAR and future quantum technology applications."

Go to the original article...

MTK Dimensity 1000+ Imaging Features

Image Sensors World        Go to the original article...

Mediatek announces its new 5G smartphone SoC Dimensity 1000+ with new imaging features:

Go to the original article...

Gain-Adaptive Single-Slope ADC

Image Sensors World        Go to the original article...

Tsinghua University, Beijing, China publishes MDPI paper "A Low-Power Column-Parallel Gain-Adaptive Single-Slope ADC for CMOS Image Sensors" by Jingwei Wei, Xuan Li, Lei Sun, and Dongmei Li.

"A low-power column-parallel gain-adaptive single-slope analog-to-digital converter (ADC) for CMOS image sensors is proposed. The gain-adaptive function is realized with the proposed switched-capacitor based gain control structure in which only minor changes from the traditional single-slope ADC are required. A switched-capacitor controlled dynamic bias comparator and a flip-reduced up/down double-data-rate (DDR) counter are proposed to reduce the power consumption of the column circuits. A 12-bit current steering digital-to-analog converter (DAC) with a two-dimensional gradient error tolerant switching scheme is adopted in the ramp generator to improve the linearity of the ADC. The proposed techniques were experimentally verified in a prototype chip fabricated in the TSMC 180 nm CMOS process. A single-column ADC consumes a total power of 63.2 μ W and occupies an area of 4.48 μ m × 310 μ m. The measured differential nonlinearity (DNL) and integral nonlinearity (INL) of the ADC are −0.43/+0.46 least significant bit (LSB) and −0.84/+1.95 LSB. A 13-bit linear output is acquired in nonlinearity within 0.08% of the full scale after calibration."

Go to the original article...

Himax Reports Q1 Results

Image Sensors World        Go to the original article...

GlobeNewswire: Himax quarterly report updates on its image sensing business:

Ultralow power smart sensing

The Company is seeing a surging demand for battery-powered smart devices with AI-enabled, ultralow power intelligent sensing, especially in markets such as home appliances, door lock, doorbell, TV, notebook, building control and security.

WiseEye, the Company’s total solution for AI-based ultralow power smart sensing, is built on Emza’s unique AI-based algorithm, on top of Himax’s proprietary computer vision processor and CMOS image sensor, all equipped with ultralow power design. Currently laptop is the market of focus. Himax WiseEye 2.0 NB solution provides a ‘laptop-ready’ 3-in-1 RGB/IR/AI solution, respecting privacy while enhancing security for notebook users. A number of leading notebook OEMs and ODMs demonstrated the Company’s WiseEye NB solution in their next generation premium notebooks with positive feedbacks. In addition to notebook, the Company has also made progress with more OEMs in WiseEye solution into the displays to enable consumer privacy protection in real time and a reference design of the world’s first battery-powered human sensing solution for IoT market. Although the Covid-19 disrupted the development schedule, Himax sees customers already starting product promotion.

Moreover, for those customers/partners whose main business is to provide AI processor, Himax can offer its ultralow power image sensors without its AI processor and algorithm. The Company is pleased to report that its industry-first ultralow power backside-illuminated VGA CMOS image sensor has already been commercialized. It’s designed with low latency and autonomous modes for always-on, intelligent visual sensing applications which enables, with extremely low power consumption, human presence detection and tracking, gaze detection, behavioral analysis, and pose estimation for growing markets such as smart home, smart building, healthcare, smartphone and AR/VR devices. The VGA resolution also support greater than 90-degree wide field-of-view lens that makes it ideal in monitoring, detecting and image capturing.

Himax expects demand for the ultralow power sensing AIoT market to explode in the near future and numerous customers/ecosystem partners are expressing interest in the Company’s unique technology where it has made extraordinary progress in AI TV, smart home appliance, smart door lock/bell, smart surveillance applications that integrate voice and audio activation beyond facial recognition on edge device.


CMOS Image Sensor

Himax has covered its ultralow power smart sensing product status above. Now turning to the CMOS image sensor business update. The Company expects to see strong growth in this business due to the accelerated adoption of home working and online education.

The Company’s industry first 2-in-1 CMOS image sensor, which is another critical part of the WiseEye 2.0 NB total solution, is currently available for its partners/customers. This hybrid CMOS image sensor combines high quality HD image capabilities with ultralow power output for AI visual sensing applications, specifically for NBs. Featured in unique design and small form factor, it enables laptop makers to achieve ultra-narrow bezel design which is on track to become the mainstream in the next couple of years. The Company’s sensor has also incorporated an RGB-IR design to enable Windows Hello facial recognition. It helps reduce cost by eliminating the need to add an additional camera. Himax expects a small volume shipment for this product in 2020 with much expanded volume in the years after.

For the traditional human vision segments, Himax sees strong demand in notebooks, where the Company is one of the market leaders, and has experienced increased shipments for multimedia applications such as car recorders, surveillance, drones, home appliances, and consumer electronics, among others.

Go to the original article...

NXP Releases Face Recognition Platform for Dishwashers and Other Appliances

Image Sensors World        Go to the original article...

NXP EdgeReady MCU-based machine vision solution leverages the i.MX RT106F crossover MCU to quickly and easily add face recognition capabilities to various, sometimes unexpected, devices: washing machines, dryers, ovens, refrigerators, stoves, dishwashers, microwaves, coffee machines, rice cookers, thermostats, HVAC, lighting control, power tools, etc.
 

Go to the original article...

e2v Awarded Funds to Develop Novel III-V IR Sensors

Image Sensors World        Go to the original article...

Teledyne e2v has been awarded funding in two separate UK Defence and Security Accelerator (DASA) competitions enabling the development of “Radiation-Hard Infrared Detectors for Space Applications” and novel detector materials addressing multiple wavebands or photon counting in the IR range.

The areas of development that funding has been awarded for are:
  • III-V Barrier Diode Radiation-Hard Infrared Detectors for Space Applications
  • 2-Colour T2SL Detector Technology – deep-dive investigation

InGaAs and InSb as well as other III-V compound semiconductor configurations as CMOS/ROIC designs and Type 2 Super Lattice (T2SL) has gained a lot of interest for IR detection applications. These devices are band-gap engineered by varying the composition and doping of the thin semiconductor layers.

With respect to T2SL detectors The artificial periodicity introduced by the multilayer structure produces super lattices. With type-1 super lattices, the electrons and holes are contained in the same layer. For type-2 super lattices, the electrons and holes are located in adjacent layers.

Go to the original article...

e2v Keeps Being Committed to CCD Manufacturing

Image Sensors World        Go to the original article...

GlobeNewswire: Teledyne e2v states that it will continue its role as a long-term partner in the development, fabrication, and supply of CCD detectors to the high science market – including space exploration, Earth observation, and ground-based scientific endeavours in the fields of microscopy, spectroscopy and astronomy.

While other technology companies have migrated to CMOS technology over continuing development of CCD technology, Teledyne Imaging, through its European business, e2v, and with Teledyne DALSA’s foundry in Bromont, Canada, will continue to supply high quality, mission critical CCD detectors to enable the most demanding of imaging applications. In addition, the group will continue to invest in complementary technologies such as CMOS, x-ray, spectroscopy, and infrared technologies, providing a well-balanced set of business lines to address a growing customer base across existing and emerging markets.

Go to the original article...

NIT Releases Low Noise and Dark Current InGaAs Sensor

Image Sensors World        Go to the original article...

NIT releases its latest SWIR sensor – NSC1902T-SI with innovative design of its InGaAs photodiode array coupled to a ROIC. The new sensor’s highlights include low noise and ultra-low dark current. It can operate with an FPA temperature as low as -20°C only with internal air cooling.

Among its key features are:
  • Lowest dark current of its class: less than 1500 e-/pixels/s @-20°C
  • High QE: 90% typical
  • Sensor noise: less than 40e-
  • Integration time: 10 µs to 112 sec
  • Frame rate: Up to 230fps full frame

Go to the original article...

Yole Forecasts 3 Years Needed for Recovery of Automotive Market

Image Sensors World        Go to the original article...

Yole Developpement report "Sensing and Computing for ADAS Vehicle 2020" forecasts:

"The auto industry has seen the impact of the coronavirus crisis evolve from a supply shock to a global demand shock. The production of new cars is expected to decline by 30% compared to the 2019 production level.

It is expected that three years will be needed to recover and get back to the same level of output. In 2020, it is expected that the global market for radars, cameras, LiDARs and computing hardware should reach $7.1B. More than half of this market revenue will be generated by radars with $4.2B, followed by cameras with $2.7B. LiDARs and computing hardware will not be significant, accounting for $0.04B and $0.2B respectively.

With high penetration rates of radars and cameras in cars, the associated market revenues will recover rapidly from the coronavirus crisis. Camera market revenue will take two years to surpass 2019’s level and will reach $4.9B in 2025 at a CAGR of 13%. LiDAR market revenue is quite limited today as only one OEM is implementing this sensor as an option in some of its cars. Other OEMs are expected to follow in coming years, but the implementation will remain limited to luxury vehicles, and therefore low volumes are expected. In this context, LiDAR market revenue is expected to reach $1.6B in 2025 at a CAGR of 111%. LiDAR is a complex sensor for OEMs and Tier-1s to integrate and radars and cameras are, at the same time, continuously improving their performance.

...the penetration rate of forward ADAS mono cameras will increase from 38% in 2020 to 55% in 2025. This type of camera is multi-purpose and is used for AEB for also for other functionalities like Lane Keeping Assist (LKA) or Traffic Sign Recognition (TSR) in mainstream cars. For most advanced cars, forward ADAS triple cameras are used to develop advanced automated driving features like Tesla’s.

On the LiDAR side, technology is moving from a macro-mechanical scanning to MEMS scanning and flash. Most LiDAR manufacturers are involved in these solid-state technologies. One of the issues for LiDAR is its integration into the vehicle. Today it is integrated in the grill, but that may not be the ideal solution. Two other positions, in headlamps or behind the windshield, are targeted by Tier-1s and OEMs.

To do so, more R&D will be necessary to reduce the volume of this sensor and allow its integration. Another issue for LiDAR is the need to process the large quantity of data it generates. High computing power, over 25 teraoperations per second (Tops), will be necessary. The last issue with LiDAR is its cost compared to the two other technologies. It is about 10 times costlier than an ADAS mono camera. Alongside volume reduction, cost reduction will also be required for significant adoption by OEMs.
"

Go to the original article...

Yole Forecasts 3 Years Needed for Recovery of Automotive Market

Image Sensors World        Go to the original article...

Yole Developpement report "Sensing and Computing for ADAS Vehicle 2020" forecasts:

"The auto industry has seen the impact of the coronavirus crisis evolve from a supply shock to a global demand shock. The production of new cars is expected to decline by 30% compared to the 2019 production level.

It is expected that three years will be needed to recover and get back to the same level of output. In 2020, it is expected that the global market for radars, cameras, LiDARs and computing hardware should reach $7.1B. More than half of this market revenue will be generated by radars with $4.2B, followed by cameras with $2.7B. LiDARs and computing hardware will not be significant, accounting for $0.04B and $0.2B respectively.

With high penetration rates of radars and cameras in cars, the associated market revenues will recover rapidly from the coronavirus crisis. Camera market revenue will take two years to surpass 2019’s level and will reach $4.9B in 2025 at a CAGR of 13%. LiDAR market revenue is quite limited today as only one OEM is implementing this sensor as an option in some of its cars. Other OEMs are expected to follow in coming years, but the implementation will remain limited to luxury vehicles, and therefore low volumes are expected. In this context, LiDAR market revenue is expected to reach $1.6B in 2025 at a CAGR of 111%. LiDAR is a complex sensor for OEMs and Tier-1s to integrate and radars and cameras are, at the same time, continuously improving their performance.

...the penetration rate of forward ADAS mono cameras will increase from 38% in 2020 to 55% in 2025. This type of camera is multi-purpose and is used for AEB for also for other functionalities like Lane Keeping Assist (LKA) or Traffic Sign Recognition (TSR) in mainstream cars. For most advanced cars, forward ADAS triple cameras are used to develop advanced automated driving features like Tesla’s.

On the LiDAR side, technology is moving from a macro-mechanical scanning to MEMS scanning and flash. Most LiDAR manufacturers are involved in these solid-state technologies. One of the issues for LiDAR is its integration into the vehicle. Today it is integrated in the grill, but that may not be the ideal solution. Two other positions, in headlamps or behind the windshield, are targeted by Tier-1s and OEMs.

To do so, more R&D will be necessary to reduce the volume of this sensor and allow its integration. Another issue for LiDAR is the need to process the large quantity of data it generates. High computing power, over 25 teraoperations per second (Tops), will be necessary. The last issue with LiDAR is its cost compared to the two other technologies. It is about 10 times costlier than an ADAS mono camera. Alongside volume reduction, cost reduction will also be required for significant adoption by OEMs.
"

Go to the original article...

ON Semi Demos 120dB HDR Imaging Platform

Image Sensors World        Go to the original article...

ON Semi shows its triple-exposure HDR sensor AR0239 with Pinnacle Denali ISP platform:

Go to the original article...

70Tfps Imaging

Image Sensors World        Go to the original article...

Caltech publishes Nature paper "Single-shot ultrafast imaging attaining 70 trillion frames per second" by Peng Wang, Jinyang Liang, and Lihong V. Wang.

"Real-time imaging of countless femtosecond dynamics requires extreme speeds orders of magnitude beyond the limits of electronic sensors. Existing femtosecond imaging modalities either require event repetition or provide single-shot acquisition with no more than 1013 frames per second (fps) and 3 × 10^2 frames. Here, we report compressed ultrafast spectral photography (CUSP), which attains several new records in single-shot multi-dimensional imaging speeds. In active mode, CUSP achieves both 7 × 10^13 fps and 103 frames simultaneously by synergizing spectral encoding, pulse splitting, temporal shearing, and compressed sensing—enabling unprecedented quantitative imaging of rapid nonlinear light-matter interaction. In passive mode, CUSP provides four-dimensional (4D) spectral imaging at 0.5 × 10^12 fps, allowing the first single-shot spectrally resolved fluorescence lifetime imaging microscopy (SR-FLIM). As a real-time multi-dimensional imaging technology with the highest speeds and most frames, CUSP is envisioned to play instrumental roles in numerous pivotal scientific studies without the need for event repetition."

Go to the original article...

OmniVision Launches Automotive SoC for Entry-Level Rearview Cameras

Image Sensors World        Go to the original article...

PRNewswire: OmniVision announces its 1.3MP OX01E10 SoC for entry-level rearview cameras (RVC). In a single, 1/4" optical format package, the OX01E10 integrates a 3um image sensor and an ISP. Additionally, the OX01E10 provides two onscreen display overlay layers for driver guidelines, as well as distortion correction to straighten any curved edges from lenses with a wide viewing angle.

The OX01E10 features power consumption that is over 35% lower than competitors' and significantly reduces temperature. This is said to be the only imaging device for entry-level RVC that does not require a metal heat sink, allowing for the use of plastic camera module bodies to reduce costs. With its compact package size, it also enables smaller cameras that can fit in much tighter spaces. In addition, by integrating both the image sensor and ISP into a single chip, designers can save on both cost and space by eliminating the second PCB in typical two-chip implementations. OmniVision's dual conversion gain (DCG) technology is employed in this SoC to achieve a HDR of 120dB with two captures.

The OX01E10 SoC is AEC-Q100 Grade 2 certified and samples are available now, with mass production expected in Q3 2020.

Go to the original article...

Tower and Technion Integrate Organic PD into CMOS Process

Image Sensors World        Go to the original article...

Tower and Technion, Israel Institute of Technology, publish a Nature paper "Hybrid image sensor of small molecule organic photodiode on CMOS – Integration and characterization" by Himanshu Shekhar, Amos Fenigstein, Tomer Leitner, Becky Lavi, Dmitry Veinger, and Nir Tessler.

"Here, we demonstrate seamless integration of a thermally deposited visible light sensitive small molecule OPD on a standard commercial CMOS substrate using optimized doped PCBM buffer layer. Under a standard power supply voltage of 3 V, this hybrid device shows an excellent photolinearity in the entire bias regime, a high pixel sensitivity of 2 V/Lux.sec, a dynamic range (DR) of 71 dB, and a low dark leakage current density of 1 nA/cm2. Moreover, the integrated OPD has a minimum bandwidth of 400 kHz. The photoresponse nonuniformity being only 1.7%, achieved under research lab conditions, strengthens the notion that this fully-CMOS compatible technology has the potential to be applied in high-performance large-scale imaging array."

Go to the original article...

Lucid Vision Labs Compares 4 Generations of Sony Global Shutter Pixels

Image Sensors World        Go to the original article...

Lucid Vision Labs assembled a nice page comparing Sony Pregius GS pixel generations:

Go to the original article...

HDR: Where to Go Next?

Image Sensors World        Go to the original article...

INSTICC publishes Alan Chalmers' talk "High Dynamic Range: Where to next?" presented at VISIGRAPP in February 2020 at Malta.

Go to the original article...

css.php