Wednesday, March 22, 2017

Taiwan Distributors Report High CIS Demand

Digitimes: Taiwan-based Coasia Microelectronics and Sunnic Technology & Merchandise, report 17.7% and 18% YoY sales growth, according to industry sources. Coasia distributes CMOS sensors mainly for Samsung, while Sunnic sells Sony's CMOS sensors.

The growth in demand in 2017 has been attributed to a growing number of new smartphones including entry-level and mid-range models that will feature a dual-lens setup, said Digitimes sources.

Indeed, even $65 phones such as DooGee Shoot 2 feature dual 5MP rear camera these days:

EETimes on ST SPAD Imager in iPhone 8

EETimes quotes Yole's analyst Pierre Cambou findings that ST SPAD imager might appear in the oncoming Apple iPhone 8. Few quotes:

"Yole’s educated guess is that ST is bringing a brand new 3D (array) imager to Apple iPhone 8 — an innovation that will alter the phone’s user interface.

Here’s a fact: As many as 10 Apple engineers have been working on imaging in Grenoble over the last few years. Their presence is open knowledge among locals, according to Cambou. The local newspaper reported last summer that Apple signed a lease with the city of Grenoble to open a research and development center there. The 800-square-meter facility will reportedly focus on imaging components and employ about thirty engineers.

Cambou suspects that ST could be using Silicon on insulator (SOI)-based wafers for the new SPAD 3D imagers. He said, “This is the way people have been doing BSI in the Grésivaudan valley (in Crolles…) for a long time.

Rockchip Compares its ISP with Apple

Embedded Vision publishes Rockchip article comparing its AP image processing engine with one from Apple:

"The RK1608 utilizes the CEVA-XM4 DSP core to perform frame-based processing, rather than line-based as in ISP. Because it is specifically designed for image processing, it can perform much faster than a standard AP. It includes features like multi frame de-noise, zig-zag HDR for preview and capture, HDR processing of multi-exposed image, depth map generation, super resolution and pseudo optical zoom. The vision coprocessor’s function is not dependent on the ISP, so it can be adapted to any platform.

One phone already available on the market that uses the RK1608 for enhanced photography, is the ASUS ZenFone 3 Zoom smartphone, launched earlier this year at CES 2017. If there was ever a phone that truly threatened DSLRs, this is it. This device was designed to be a camera just as much as it was designed to be a phone. The aperture, pixel size and sensor are among the largest in the industry at f/1.7, 1.4µm and 1/2.55”, respectively. It uses new SuperPixel camera technology for clearer images at night or in low-light environments and offers 2.5-times greater light sensitivity than the Apple iPhone 7 Plus.
"

Tuesday, March 21, 2017

e2v Whitepaper on CCD QE in the Soft X-Ray Range

e2v publishes a nice paper explaining CCD properties in soft X-Ray band. Few quotes:


"On average, 3.6 eV is required for each free signal electron emitted from the silicon atom after absorption of an X-ray photon [20], with variance as per the Fano factor. The complete absorption of a 500 eV X-ray photon produces on average approximately (500 / 3.6) = 139 signal electrons, but a large number of steps are involved in this absorption."

AND not OR: CCD & CMOS Technologies for Industrial Markets

ON Semi publishes Michael DeLuca talk at Vision Show held in Stuttgart, Germany, in Nov. 2016:

EETimes Visits Chronocam

EETimes publishes an article on its visit of Chronocam. Few quotes:

"Chronocam’s sensor technology is designed to acquire data that’s simplified and tailored for machines to use. This dramatically reduced data load should allow cars to make almost real-time decisions.

Even the slightest hint of a market revolution is exciting to any inventor of a new technology. This isn’t a thrill, however, that stirs the incumbents who supply conventional image sensors.

With that resistance in place, it it’s tough to convincing others to consider a path they’ve never taken before. Talking them into embracing it, joining the revolution and building “an eco-system” is not a job for the fainthearted. Chronocam’s CEO Verre, however, is undeterred.

He cited three key advantages Chronocam’s event-driven sensor can provide. “We generate much less data, we enable faster reaction time, and we operate at a much wider dynamic range,” he explained.

Chronocam’s market positioning, however, has shifted significantly in one respect. Chronocam now believes, in entering the ADAS/autonomous car market, it doesn’t need to chart a collision course with an entire community of incumbent CMOS image sensor suppliers. Different from what we heard from the startup a year ago, Chronocam today is pitching its technology as one of the several different sensors to be added to ADAS/autonomous cars for safety.
"

EMCCD Generations

Raptor Photonics publishes a whitepaper explaining EMCCD generations differences. For some reason, ON Semi's EMCCD is not in the table, although the whitepaper is relatively new, dated by 2016/11:

Monday, March 20, 2017

World's Fastest Camera Presentation

SPIETV publishes a video of Lihong Wang, Caltech, presenting what he calls the world's fastest camera for ultrafast phenomena exploration:

2017 Image Sensors Europe Awards

Image Sensors Europe Conference announces its 2017 Awards in 5 categories:
  • Biggest Breakthrough Development
    Winner: Johannes Solhusvik, General Manager, Omnivision
  • Biggest Innovator in the Image Sensor Industry
    Winner: Shoji Kawahito, Imaging Devices Laboratory, Research Institute of Electronics, Shizuoka University
  • Best Academic Research Team
    Winner: Nobukazu Teranishi, Professor, Shizouka University/University of Hyogo
  • Image Sensor CEO/Managing Director of the Year
    Winner: Xinyang Wang, Founder & CEO, GPixel
  • Best Up-and-Coming Company
    Winner: Chronocam (Jean-Luc Jaffard, collected the award on behalf of Chronocam)

Xinyang Wang was absent at the Award ceremony

Eric Fossum Founds Gigajot Startup

Eric Fossum updates his LinkedIn page, saying that he has founded Gigajot Technology LLC devoted to "R&D for commercialization of the Quanta Image Sensor."

GoodCall site also reports that "In June, after [Jiaju] Ma completes his Ph.D., he will also make the move from inventor to entrepreneur. Ma will launch a startup, Gigajot, with Fossum to commercialize the QIS... Ma came to Dartmouth in 2012, and since then, he’s worked with Fossum on the Quanta Image Sensor (QIS), which can greatly enhance low-light sensitivity."

Thanks to AJ for the pointer!