NotebookItalia: China-based Pico presents Zense camera, its first foray into ToF sensing. The depth processing is based on Rockchip RV1108 with CEVA XM4 vision IP:
Friday, June 22, 2018
Yole Forecast on 3D Sensing Market
Yole Developpement publishes "3D Imaging & Sensing 2018" report:
"Apple set the standard for technology and use-case for 3D sensing in consumer. From our initial depiction of the market in March 2017, the main gap is in illumination ASP, which is greater than expected. High expenses in dot and flood illumination VCSELs from Lumentum/II-VI/Finisar, along with the dot illuminator optical assembly from ams, are the biggest technology surprises powering Apple’s $1,000 [iPhone X] smartphone.
Yole Développement (Yole) expects the global 3D imaging & sensing market to expand from $2.1B in 2017 to $18.5B in 2023, at a 44% CAGR. Along with consumer, automotive, industrial, and other high-end markets will also experience a double-digit growth pattern.
The transition from imaging to sensing is happening before our eyes. Despite half-successful attempts like Xbox’s Kinect technology and Leap-Motion hand controllers, 3D sensing is now tracking towards ubiquitousness.
Oppo made the first announcement beginning of the year with Orbeec, while Xiaomi released the Mi 8 explorer edition with Mantis as a technology partner. We expect Huawei to release its own solution soon, probably partnering with ams and Sunny Optical.
...players like Himax are currently paying the price for a lower-performance offering and are struggling to get design-ins beyond AR/VR headsets for Microsoft.
Unlike previous sensing components, the responsibility of system design does not fall on the OEM - instead, a specialist is required, such as the Primesense team that Apple acquired in 2013, or other firms like Mantis, Orbbec, and ams, which want play the “specialist” role in the new 3D imaging & sensing ecosystem. Such players orchestrate the final solution while allowing room for the best in each sub-component category.
Is 3D imaging & sensing now ripe for disruption? Yole expects it will take at least 2 -3 years before any new solution start dramatically lowering total system cost."
"Apple set the standard for technology and use-case for 3D sensing in consumer. From our initial depiction of the market in March 2017, the main gap is in illumination ASP, which is greater than expected. High expenses in dot and flood illumination VCSELs from Lumentum/II-VI/Finisar, along with the dot illuminator optical assembly from ams, are the biggest technology surprises powering Apple’s $1,000 [iPhone X] smartphone.
Yole Développement (Yole) expects the global 3D imaging & sensing market to expand from $2.1B in 2017 to $18.5B in 2023, at a 44% CAGR. Along with consumer, automotive, industrial, and other high-end markets will also experience a double-digit growth pattern.
The transition from imaging to sensing is happening before our eyes. Despite half-successful attempts like Xbox’s Kinect technology and Leap-Motion hand controllers, 3D sensing is now tracking towards ubiquitousness.
Oppo made the first announcement beginning of the year with Orbeec, while Xiaomi released the Mi 8 explorer edition with Mantis as a technology partner. We expect Huawei to release its own solution soon, probably partnering with ams and Sunny Optical.
...players like Himax are currently paying the price for a lower-performance offering and are struggling to get design-ins beyond AR/VR headsets for Microsoft.
Unlike previous sensing components, the responsibility of system design does not fall on the OEM - instead, a specialist is required, such as the Primesense team that Apple acquired in 2013, or other firms like Mantis, Orbbec, and ams, which want play the “specialist” role in the new 3D imaging & sensing ecosystem. Such players orchestrate the final solution while allowing room for the best in each sub-component category.
Is 3D imaging & sensing now ripe for disruption? Yole expects it will take at least 2 -3 years before any new solution start dramatically lowering total system cost."
Thursday, June 21, 2018
Smithers Report on Technology Challenges for Image Sensors in ADAS & Autonomous Vehicle
Smithers Apex publishes a report "Technology Challenges for Image Sensors in ADAS & Autonomous Vehicle Markets to 2023." Few quotes:
"...as vehicles approach full autonomy, the need for human-friendly colour reproduction becomes redundant, and the quality requirements on the image sensing for computer vision will increase further. A high dynamic range of 140 dB, resolutions of 8 MP for mono vision and at least 2MP for stereo vision cameras, frame rates beyond 60 fps, a sensitivity of several thousand electrons per lux and second are requested.
At the same time the noise performance should ensure a signal to noise ratio of 1 at 1 millilux, and an exposure time of less than 1/30 s. High dynamic range shall be achieved by as few as possible exposures to minimise motion blur. The compensation of the flickering of LED traffic signs and lights as described in the previous section is even more important for level 4 and 5 vehicles."
"...as vehicles approach full autonomy, the need for human-friendly colour reproduction becomes redundant, and the quality requirements on the image sensing for computer vision will increase further. A high dynamic range of 140 dB, resolutions of 8 MP for mono vision and at least 2MP for stereo vision cameras, frame rates beyond 60 fps, a sensitivity of several thousand electrons per lux and second are requested.
At the same time the noise performance should ensure a signal to noise ratio of 1 at 1 millilux, and an exposure time of less than 1/30 s. High dynamic range shall be achieved by as few as possible exposures to minimise motion blur. The compensation of the flickering of LED traffic signs and lights as described in the previous section is even more important for level 4 and 5 vehicles."
SWIR Startup Trieye Raises $3m of Seed Money
Globes: Israeli startup TriEye announces the completion of a $3m seed round led by Grove Ventures. TriEye develops SWIR sensors providing autonomous cars heightened visual capabilities in restricted visual conditions at significantly reduced cost. The technology is based on many years of research at the Hebrew University of Jerusalem by Prof. Uriel Levy.
TriEye cofounder and CEO Avi Bakal says, "The company is offering capabilities that in the past were only accessible to defense and aerospace industries and at a minimal cost compared with the past. This capability improves the safety of advanced driver-assistance systems and is a major step forward to the extensive adoption of the technology by the carmakers."
TriEye cofounder and CEO Avi Bakal says, "The company is offering capabilities that in the past were only accessible to defense and aerospace industries and at a minimal cost compared with the past. This capability improves the safety of advanced driver-assistance systems and is a major step forward to the extensive adoption of the technology by the carmakers."
AutoSens Brussels Agenda
Autosens Brussels to be held in September 2018 announces its preliminary speakers list. There is quite a lot of image sensors presentations:
- Introduction to the world of Time-of-Flight for 3D imaging, Albert Theuwissen, Harvest Imaging (Tutorial)
- Do we have a lidar bubble? Panel discussion
- Vehicle perception of humans – what level of image quality is needed to recognise behavioural intentions, Panel discussion
- A review of the latest research in photonics-sensor technologies in automotive, Michael Watts, Analog Photonics
- Automotive HDR imaging – the history and future, Mario Heid, Omnivision
- Self-driving cars and lidar, Simon Verghese, Waymo
- Tier 1 achievements with solid state lidar, Filip Geuens, Xenomatix
- An Approach to realize “Safety Cocoon”, Yuichi Motohashi, Sony
- How AI/Computer Vision affects camera design and SOC design, Marco Jacobs, videantis
- Objective and Application Oriented Characterisation of Image Sensors with EMVA’s 1288 Standard, Bernd Jaehne, EMVA 1288 Chair
- Review of IEEE P2020 developments, Patrick Denny, Valeo
Xintec Unable to Fill 12-inch WLP Line
Digitimes reports that Xintec has hard time recovering from the loss of its major investor and customer Omnivision. The company has decided to suspend its 12-inch WLP production line for a year due to disappointing demand for mass-market applications. The 12-inch line workforce will be transferred to 8-inch lines to improve revenue and profit.
Wednesday, June 20, 2018
Tunable Plasmonic Filters Enable Time-Sequential Color Imaging
ACS Photonics paper "Tunable Multispectral Color Sensor with Plasmonic Reflector" by Vladislav Jovanov, Helmut Stiebig, and Dietmar Knipp from Jacobs University Bremen and Institute of Photovoltaics Jülich, Germany proposes plasmonic reflectors for color imaging:
"Vertically integrated color sensors with plasmonic reflectors are realized. The complete color information is detected at each color pixel of the sensor array without using optical filters. The spectral responsivity of the sensor is tuned by the applied electric bias and the design of the plasmonic reflector. By introducing an interlayer between the lossy metal back reflector and the sensor, the reflectivity can be modified over a wide spectral range. The detection principle is demonstrated for a silicon thin film detector prepared on a textured silver back reflector. The sensor can be used for RGB color detection replacing conventional color sensors with optical filters. Combining detectors with different spectral reflectivity of the back reflector allows for the realization of multispectral color sensors covering the visible and the near-infrared spectral range.
To our knowledge for the first time a sensor is presented that combines a spatial color multiplexing scheme (side-by-side arrangement of the individual color channels) used by conventional color sensors with the time multiplexing scheme (sequential read-out of colors) of a vertically integrated sensor."
"Vertically integrated color sensors with plasmonic reflectors are realized. The complete color information is detected at each color pixel of the sensor array without using optical filters. The spectral responsivity of the sensor is tuned by the applied electric bias and the design of the plasmonic reflector. By introducing an interlayer between the lossy metal back reflector and the sensor, the reflectivity can be modified over a wide spectral range. The detection principle is demonstrated for a silicon thin film detector prepared on a textured silver back reflector. The sensor can be used for RGB color detection replacing conventional color sensors with optical filters. Combining detectors with different spectral reflectivity of the back reflector allows for the realization of multispectral color sensors covering the visible and the near-infrared spectral range.
To our knowledge for the first time a sensor is presented that combines a spatial color multiplexing scheme (side-by-side arrangement of the individual color channels) used by conventional color sensors with the time multiplexing scheme (sequential read-out of colors) of a vertically integrated sensor."
Daqri on Importance of Latency in AR/VR Imaging
Daqri Chief Scientist Daniel Wagner publishes an article "Motion to Photon Latency in AR and VR applications:"
Daqri tells about its latency optimization achievements: "Overall, what is the final latency we can achieve with such a system? The answer is: It depends. If we consider rendering using the latest 6DOF pose estimates as the last step in our pipeline that produces fully correct augmentations then achieving a latency of ~17ms is our best-case scenario.
However, late warping can correct most noticeable artefacts, so it makes sense to treat it as valid part of the pipeline. Without using forward prediction for late warping, we can achieve a physical latency of 4 milliseconds per color channel in our example system. However, 4 milliseconds is such a short length of time, making forward prediction almost perfect and pushing perceived latency towards zero. Further, we could actually predict beyond 4ms into the future to achieve a negative perceived latency. However, negative latency is just as unpleasant as positive latency, so this would not make sense for our scenario."
Daqri tells about its latency optimization achievements: "Overall, what is the final latency we can achieve with such a system? The answer is: It depends. If we consider rendering using the latest 6DOF pose estimates as the last step in our pipeline that produces fully correct augmentations then achieving a latency of ~17ms is our best-case scenario.
However, late warping can correct most noticeable artefacts, so it makes sense to treat it as valid part of the pipeline. Without using forward prediction for late warping, we can achieve a physical latency of 4 milliseconds per color channel in our example system. However, 4 milliseconds is such a short length of time, making forward prediction almost perfect and pushing perceived latency towards zero. Further, we could actually predict beyond 4ms into the future to achieve a negative perceived latency. However, negative latency is just as unpleasant as positive latency, so this would not make sense for our scenario."
Tuesday, June 19, 2018
Lucid Demos Sony Polarization Sensor
LUCID Vision Labs demos Sony IMX250MYR polarized color sensor in its Phoenix camera family. The 5 MP GS sensor with 3.45µm pixel and frame rates of up to 24 fps is based on the popular IMX250 Sony Pregius CMOS color sensor with polarizing filters added to the pixel. The sensor has four different directional polarizing filters (0°, 90°, 45°, and 135°) on every four pixels:
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