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ST Unveils its First iToF Sensor with 0.5MP Resolution
Panasonic Lumix GH6 review
Sigma Updates on the Next Generation Foveon Sensor Development
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Sigma publishes an official statement "Development status of the three-layer image sensor:"- Stage 1: Repeated design simulations of the new three-layer structure to confirm that it will function as intended.
- Stage 2: Prototype evaluation using a small image sensor with the same pixel size as the product specifications but with a reduced total pixel count to verify the performance characteristics of the image sensor in practice.
- Stage 3: Final prototype evaluation using a full-frame image sensor with the same specifications as the mass products including the AD converter etc…
Vision Sensor-Processor with In-Pixel Memory
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KAIST and Samsung foundry publish a Nature paper "Mnemonic-opto-synaptic transistor for in-sensor vision system" by Joon-Kyu Han, Young-Woo Chung, Jaeho Sim, Ji-Man Yu, Geon-Beom Lee, Sang-Hyeon Kim, and Yang-Kyu Choi.High-Throughput SPAD Signal Processing
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Edinburgh University and ST publish an open access IEEE JSSC paper "A High-Throughput Photon Processing Technique for Range Extension of SPAD-based LiDAR Receivers" by Sarrah M. Patanwala, Istvan Gyongy, Hanning Mai, Andreas Aßmann, Neale A. W. Dutton, Bruce R. Rae, and Robert K. Henderson.dToF Tutorial from Edinburgh University and ST
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Edinburgh University publishes "Direct Time-of-Flight Single-Photon Imaging" by Istvan Gyongy, Neale A. W. Dutton, and Robert K. Henderson, also published by IEEE TED.Recent Videos: IIT Delhi, ADI, Omnivision, FLIR, Hamamatsu
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IIT Delhi publishes a lecture "From light waves to images: Advancing Science with Pictures" by Kedar Khare:Himax Reports 2021 Results
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GlobeNewswire: Himax updates on its imaging business in 2021:Intel Heritage in Image Sensors
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It turns out that well before the Tower acquisition, in 90s, Intel already manufactured image sensors. Photobit designed it for Intel, Intel manufactured it, and then later Intel decided CMOS image sensors would be a commodity business and got out. Intel was Photobit’s first partner/customer. Intel Capital was an investor in Photobit for strategic purposes.Yole Predicts that Sony and ST Will Capture 95% of SWIR Imagers Market
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Yole Developpement believes that ST and Sony could disrupt the technological landscape with their SWIR imagers:
"In 2021, the SWIR industry’s leading players were SCD, Sensors Unlimited, and Teledyne FLIR, sharing more than 50% of the 11,000 units shipped in the year. These leaders are subsidiaries of leading defense companies that started developing SWIR technology with the support of governments for strategic purposes. They constitute the legacy side of the SWIR industry.
On the other side, STMicroelectronics and Sony, two leaders in the consumer imaging industry started being active players in SWIR with new technologies including quantum dots. Their entrance might be explained by the growing demand from consumer OEM for new integration designs such as under-display 3D sensing in smartphones. If SWIR imagers reach a low price point, shipments could skyrocket to hundreds of millions within a few years. The SWIR industry could emulate the current 3D imaging industry, where STMicroelectronics and Sony share nearly 95% of the 225 million shipments (2020 data)."
Peter Noble, Marvin White, and Northrop Grumman Win 2021 Emmi Awards
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Peter Noble and Marvin White win 2021 Technology & Engineering Emmy Awards:- Correlated Double Sampling for Image Sensors
- Marvin H. White
- Northrop Grumman Mission Systems Group
Peter Noble, Marvin White, and Northrop Grumman Win 2021 Emmy Awards
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Peter Noble and Marvin White win 2021 Technology & Engineering Emmy Awards:- Correlated Double Sampling for Image Sensors
- Marvin H. White
- Northrop Grumman Mission Systems Group
Sony "Sense the Wonder" Day
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Sony publishes videos from its "Sense the Wonder" Day:Omnivision Unveils 0.56um Pixel
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BusinessWire: OMNIVISION announces a major pixel technology breakthrough―the world’s smallest 0.56-µm pixel with high QE, excellent quad phase detection (QPD) autofocus and low power consumption. This ultra-small pixel technology will address the demand for high-resolution and small pixel pitch image sensors for multi-camera mobile devices.Intel Gets into CIS Foundry Business through the Acquisition of Tower for $5.4B
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BusinessWire: Intel and Tower Semiconductor announce a definitive agreement under which Intel will acquire Tower for approximately $5.4 billion.OM System Olympus OM-1 review
Hybrid ToF (hToF) Image Sensor Paper
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Shizuoka University publishes a IEEE Open JSSC paper "Hybrid Time-of-Flight Image Sensors for Middle-Range Outdoor Applications" by S. Kawahito, K. Yasutomi, and K. Mars.Canon U.S.A., Inc. Is Successful Against eBay Counterfeiter
e2v Lecture on Image Sensor Performance Comparison
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Vision Systems Design publishes a Youtube channel Vision Learning with quite a few interesting presentations. One of the recent presentations is 66min-long Teledyne e2v's "Understanding Image Sensor Performance - Interpret Key Parameters and Effective Comparison:"Adaps dToF Paper
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Shenzhen, China-based startup company Adaps Photonics publishes an open-access IEEE paper "A 240 x 160 3D Stacked SPAD dToF Image Sensor with Rolling Shutter and In Pixel Histogram for Mobile Devices" by Chao Zhang, Ning Zhang, Zhijie Ma, Letian Wang, Yu Qin, Jieyang Jia, and Kai Zang.Event Guided Depth Sensing
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University of Zurich and ETH Zurich publish a paper "Event Guided Depth Sensing" by Manasi Muglikar, Diederik Paul Moeys, and Davide Scaramuzza.
"Active depth sensors like structured light, lidar, and time-of-flight systems sample the depth of the entire scene uniformly at a fixed scan rate. This leads to limited spatio-temporal resolution where redundant static information is over-sampled and precious motion information might be under-sampled. In this paper, we present an efficient bio-inspired event-camera-driven depth estimation algorithm. In our approach, we dynamically illuminate areas of interest densely, depending on the scene activity detected by the event camera, and sparsely illuminate areas in the field of view with no motion. The depth estimation is achieved by an event-based structured light system consisting of a laser point projector coupled with a second event-based sensor tuned to detect the reflection of the laser from the scene. We show the feasibility of our approach in a simulated autonomous driving scenario and real indoor sequences using our prototype. We show that, in natural scenes like autonomous driving and indoor environments, moving edges correspond to less than 10% of the scene on average. Thus our setup requires the sensor to scan only 10% of the scene, which could lead to almost 90% less power consumption by the illumination source. While we present the evaluation and proof-of-concept for an event-based structured-light system, the ideas presented here are applicable for a wide range of depth-sensing modalities like LIDAR, time-of-flight, and standard stereo. Video is available at https://www.youtube.com/watch?v=Rvv9IQLYjCQ"
Recent Videos: Ibeo, TI, Trioptics, Omnivision, ST, Gigajot
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Ibeo publishes a video on LiDAR performance in fog and ways to improve it:
TI video shows an importance of clean power supply for image sensors:
Trioptics publishes its active alignment system video:
ST publishes a video on choosing cover glass for its dToF proximity sensors (a longer version of this video is here):
Yole on 2021 Market Status
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Yole Developpement's Q4 2021 Quarterly CIS Market Monitor updates on the market status: