New technologies & application opportunities promise a bright future to the CMOS image sensors industry
TABLETS & AUTOMOTIVE TO BOOST CMOS IMAGE SENSOR SALES AND DRIVE GROWTH OF THE MARKET
CMOS image sensor market is expected to grow at an 11% CAGR in revenue in the 2012 - 2017 period, growing from $6.6B in 2012 to $11B in 2017. Many different applications are driving the integration of CMOS image sensors. If mobile handsets accounted for ~ 65% of total shipments in 2011, many new applications are poised to drive the future growth of this industry. Three fast emerging applications of significant size should drive the growth of the market to an expected CAGR over 30%: Tablets, Automotive, and Smart TV. More details are available in the report on each application.
Tablets are poised to boost CIS sales in the consumer market; the majority of tablets have one or two cameras, similarly to mobile phones. We forecast that the CIS sales for tablets will represent nearly $1.5B in 2017! From another standpoint, car manufacturers have begun equipping cars with multiple cameras, pushed by upcoming regulations promoting greater safety and driver assistance. The automotive market is expected to reach $400M in 2017, and will drive the need for high-performance sensors with special features, e.g. global shutter, very high dynamic range, and low-light sensitivity. This is completely different from the phone market which is still in the race for higher resolution.
The report describes in detail each application in terms of market size, competitive analysis, technical requirements, technology trends and business drivers.
NEW BUSINESS MODELS AND NEW STRATEGIES EMERGE FROM A FRAGMENTING SUPPLY CHAIN
As volumes increase, a clear duality appears between companies that have adopted a growth strategy by focusing on low-end markets and those opting for a specialization in high-end and higher margin markets to maintain profitability such as STMicro and Aptina.
Back in 2009, Omnivison was the only major fabless image sensor manufacturer, but that situation is set to change: the fablight/foundry business models will be more and more successful in the future, fueled by the new business model adopted by players that are not completely integrated up to the system level.
STMicroelectronics is about to outsource its backside illumination image sensor production to United Microelectronics Corp. (Taiwan), and Aptina Imaging already outsources its 12-inch production to Taiwan Semiconductor Manufacturing Co. The only companies that are financially sustainable with an IDM model are vertically integrated from leading-edge 300mm CIS manufacturing up to the system level: Samsung, Sony, Panasonic and Toshiba.
This report describes in detail market share for each CMOS image sensor vendor and manufacturer, and how the value is distributed along the CIS value chain
more information on http://www.i-micronews.com/reports/Status-CMOS-Image-Sensors-Industry/19/341/
Status of the CMOS Image Sensor Industry 2016: New Dynamics in Market and Tec...Yole Developpement
New functions are pushing change in CMOS image sensors, boosting the market toward $18.8B in 2021 at 10.4% CAGR
Beyond $10B: The CMOS image sensor industry keeps growing at high pace
Driven by renewed mobile and automotive applications, the CMOS image sensor (CIS) industry is expected to expand at a compound annual growth rate (CAGR) of 10.4% from 2015 to 2021, reaching US$18.8B market value by 2021.
Yole Développement expects sustained growth of the CMOS image sensor industry for the next five years. Increasing camera content in smartphones will more than offset slower smartphone volume growth. The trend for dual and 3D cameras will have a major impact on CIS volumes. While it is too early to fully describe the strategy of the main actors yet, some products are already on the market. The 2016 report comprehensively covers key market and technology choices.
One big story this year is the consumer market, which is recovering from the total collapse of digital photography. While action cameras seem to have reached a ceiling, new applications such as drones, robots, virtual reality and augmented reality are ready to rejuvenate this emblematic market. The Automotive camera market has established itself as a key growth market for CIS. The Advanced Driver Assistance (ADAS) trend is further increasing pressure on vendors to provide sensors beyond their current technical capabilities. Image analysis is the new frontier and early usage of artificial intelligence is catching people’s imagination. We are therefore in the middle of an explosive growth pattern that will not slow down before 2021. An exceptionally high 23% CAGR is predicted in automotive for the 2015-2021 period.
This document is a seminar report on image sensor systems submitted by three students - Jayesh Mangroliya, Miral Modi, and Jaydeep Bhayani. It contains an abstract that describes how digital image sensors work, focusing on how photons are converted into electrical signals. It also details the differences between CCD and CMOS sensor architectures and various metrics used to analyze sensor performance. The report includes a comparison of recent CCD and CMOS sensors using these metrics and develops a model relating well capacity and conversion gain.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Key factors for choosing a sensor include the environment, required range of detection, and desired field of view. CCD and CMOS are the main types of image sensors, with CCD having higher sensitivity but CMOS being more power efficient and able to incorporate additional processing.
Image sensors contain millions of light-sensitive photosites that record brightness levels and allow digital cameras to capture images. The two main types are CCD and CMOS sensors. CCD sensors transfer the electric charge from each photosite to be converted to a digital signal, while CMOS sensors have transistors at each pixel to individually convert charge to voltage. Both have advantages like CMOS integrating additional processing circuits while CCDs have higher sensitivity. Image sensors are now widely used in applications like digital cameras, camcorders, biometrics, and more due to their small size and low power consumption compared to film.
Imaging Technologies for Automotive 2016 Report by Yole Developpement Yole Developpement
Imaging technology, which is currently mainly cameras, is exploding into the automotive space, and is set to grow at 20% CAGR to reach $7.3B in 2021
INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) PROPEL AUTOMOTIVE IMAGING
Since 2008, when a recession acted as a wakeup call to the whole industry, the automotive market has undergone obvious structural change. Capitalizing on technologies initially developed for smartphones, electronics have invaded, and imaging technology is now taking center stage. From less than one camera per car on average in 2015, there will be more than three cameras per car by 2021, which means 371 million automotive imaging devices.
Cameras were initially mounted for ADAS purposes on high-end vehicles, with deep learning image analysis techniques promoting early adoption. The Israeli company Mobileye has been instrumental in bringing this technology to market, along with On Semiconductor, which provided the CMOS image sensor. Copycat competition will probably pick up as the market now justifies initial investment in design and technology. It is now a well-established fact that vision-based autonomous emergency braking (AEB) is possible and saves life. Adoption of forward ADAS cameras will therefore accelerate.
Growth of imaging for automotive is also being fueled by the park assist application, and 360° surround view camera volume is skyrocketing. While it’s becoming mandatory in the US to have a rearview camera, that uptake is dwarfed by 360° surround view cameras, which enable a “bird’s eye view” perspective. This trend is most beneficial to companies like Omnivision at sensor level and Panasonic and Valeo, which have become the main manufacturers of automotive cameras.
Mirror replacement cameras are currently the big unknown and take-off will primarily depend on its appeal and car design regulation. Europe and Japan are at the forefront of this trend, which should become slightly significant by 2021.
Solid state lidar is well talked about and will start to be found in high end cars by 2021. Cost reduction will be a key driver as the push for semi-autonomous driving will be felt more strongly by car manufacturers. The report will analyse the impact of lidar for automotive vision in detail.
Night vision cameras using Long Wave Infrared (LWIR) technology were initially perceived as a status symbol. However, they’re increasingly appreciated for their ability to automatically detect pedestrians and wildlife. LWIR will therefore become integrated into ADAS systems in future.
3D cameras will be limited to in-cabin infotainment and driver monitoring. This technology will be key for luxury cars and therefore is of limited use today.
If any significant semi-autonomous trend picks up, the technology will probably become mandatory, due to safety issues.
More information on that report at http://www.i-micronews.com/reports.html
This presentation describes the essential technologies used to power System on Chip (SoC) Sensors. Information from Cymbet, Ambiq Micro and Cardinal Components. For more information go to www.cymbet.com.
CMOS image sensors have evolved faster than CCD and now perform better in key image quality areas like sensitivity in low light, modulation transfer function, blooming, and dynamic range. Even with high quality image sensors, camera manufacturers must perform image processing to optimize quality and take advantage of the sensor's capabilities. Tests show the CMOS sensor having lower read noise, better sensitivity at various wavelengths and temperatures, improved MTF at longer wavelengths, and less smear compared to the CCD sensor. For industrial cameras, camera manufacturers calibrate processing over temperature for attributes like color, defects, uniformity, and linearity to maximize the CMOS sensor's performance for real-time decision making.
http://www.axis.com/
When an image is being captured by a network camera, light passes through the lens and falls on the
image sensor. The image sensor consists of picture elements, also called pixels, that register the amount
of light that falls on them. They convert the received amount of light into a corresponding number of
electrons. The stronger the light, the more electrons are generated. The electrons are converted into
voltage and then transformed into numbers by means of an A/D-converter. The signal constituted by the
numbers is processed by electronic circuits inside the camera.
Status of the CMOS Image Sensor Industry 2016: New Dynamics in Market and Tec...Yole Developpement
New functions are pushing change in CMOS image sensors, boosting the market toward $18.8B in 2021 at 10.4% CAGR
Beyond $10B: The CMOS image sensor industry keeps growing at high pace
Driven by renewed mobile and automotive applications, the CMOS image sensor (CIS) industry is expected to expand at a compound annual growth rate (CAGR) of 10.4% from 2015 to 2021, reaching US$18.8B market value by 2021.
Yole Développement expects sustained growth of the CMOS image sensor industry for the next five years. Increasing camera content in smartphones will more than offset slower smartphone volume growth. The trend for dual and 3D cameras will have a major impact on CIS volumes. While it is too early to fully describe the strategy of the main actors yet, some products are already on the market. The 2016 report comprehensively covers key market and technology choices.
One big story this year is the consumer market, which is recovering from the total collapse of digital photography. While action cameras seem to have reached a ceiling, new applications such as drones, robots, virtual reality and augmented reality are ready to rejuvenate this emblematic market. The Automotive camera market has established itself as a key growth market for CIS. The Advanced Driver Assistance (ADAS) trend is further increasing pressure on vendors to provide sensors beyond their current technical capabilities. Image analysis is the new frontier and early usage of artificial intelligence is catching people’s imagination. We are therefore in the middle of an explosive growth pattern that will not slow down before 2021. An exceptionally high 23% CAGR is predicted in automotive for the 2015-2021 period.
This document is a seminar report on image sensor systems submitted by three students - Jayesh Mangroliya, Miral Modi, and Jaydeep Bhayani. It contains an abstract that describes how digital image sensors work, focusing on how photons are converted into electrical signals. It also details the differences between CCD and CMOS sensor architectures and various metrics used to analyze sensor performance. The report includes a comparison of recent CCD and CMOS sensors using these metrics and develops a model relating well capacity and conversion gain.
- A sensor is a device that measures a physical quantity and converts it into a signal that can be read by an observer or instrument. Sensors need to be calibrated against known standards for accuracy.
- There are different types of sensors including thermal, electromagnetic, mechanical, chemical, optical, acoustic, and biological sensors. Image sensors convert an optical image into an electrical signal using photosensitive diodes.
- Key factors for choosing a sensor include the environment, required range of detection, and desired field of view. CCD and CMOS are the main types of image sensors, with CCD having higher sensitivity but CMOS being more power efficient and able to incorporate additional processing.
Image sensors contain millions of light-sensitive photosites that record brightness levels and allow digital cameras to capture images. The two main types are CCD and CMOS sensors. CCD sensors transfer the electric charge from each photosite to be converted to a digital signal, while CMOS sensors have transistors at each pixel to individually convert charge to voltage. Both have advantages like CMOS integrating additional processing circuits while CCDs have higher sensitivity. Image sensors are now widely used in applications like digital cameras, camcorders, biometrics, and more due to their small size and low power consumption compared to film.
Imaging Technologies for Automotive 2016 Report by Yole Developpement Yole Developpement
Imaging technology, which is currently mainly cameras, is exploding into the automotive space, and is set to grow at 20% CAGR to reach $7.3B in 2021
INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) PROPEL AUTOMOTIVE IMAGING
Since 2008, when a recession acted as a wakeup call to the whole industry, the automotive market has undergone obvious structural change. Capitalizing on technologies initially developed for smartphones, electronics have invaded, and imaging technology is now taking center stage. From less than one camera per car on average in 2015, there will be more than three cameras per car by 2021, which means 371 million automotive imaging devices.
Cameras were initially mounted for ADAS purposes on high-end vehicles, with deep learning image analysis techniques promoting early adoption. The Israeli company Mobileye has been instrumental in bringing this technology to market, along with On Semiconductor, which provided the CMOS image sensor. Copycat competition will probably pick up as the market now justifies initial investment in design and technology. It is now a well-established fact that vision-based autonomous emergency braking (AEB) is possible and saves life. Adoption of forward ADAS cameras will therefore accelerate.
Growth of imaging for automotive is also being fueled by the park assist application, and 360° surround view camera volume is skyrocketing. While it’s becoming mandatory in the US to have a rearview camera, that uptake is dwarfed by 360° surround view cameras, which enable a “bird’s eye view” perspective. This trend is most beneficial to companies like Omnivision at sensor level and Panasonic and Valeo, which have become the main manufacturers of automotive cameras.
Mirror replacement cameras are currently the big unknown and take-off will primarily depend on its appeal and car design regulation. Europe and Japan are at the forefront of this trend, which should become slightly significant by 2021.
Solid state lidar is well talked about and will start to be found in high end cars by 2021. Cost reduction will be a key driver as the push for semi-autonomous driving will be felt more strongly by car manufacturers. The report will analyse the impact of lidar for automotive vision in detail.
Night vision cameras using Long Wave Infrared (LWIR) technology were initially perceived as a status symbol. However, they’re increasingly appreciated for their ability to automatically detect pedestrians and wildlife. LWIR will therefore become integrated into ADAS systems in future.
3D cameras will be limited to in-cabin infotainment and driver monitoring. This technology will be key for luxury cars and therefore is of limited use today.
If any significant semi-autonomous trend picks up, the technology will probably become mandatory, due to safety issues.
More information on that report at http://www.i-micronews.com/reports.html
This presentation describes the essential technologies used to power System on Chip (SoC) Sensors. Information from Cymbet, Ambiq Micro and Cardinal Components. For more information go to www.cymbet.com.
CMOS image sensors have evolved faster than CCD and now perform better in key image quality areas like sensitivity in low light, modulation transfer function, blooming, and dynamic range. Even with high quality image sensors, camera manufacturers must perform image processing to optimize quality and take advantage of the sensor's capabilities. Tests show the CMOS sensor having lower read noise, better sensitivity at various wavelengths and temperatures, improved MTF at longer wavelengths, and less smear compared to the CCD sensor. For industrial cameras, camera manufacturers calibrate processing over temperature for attributes like color, defects, uniformity, and linearity to maximize the CMOS sensor's performance for real-time decision making.
http://www.axis.com/
When an image is being captured by a network camera, light passes through the lens and falls on the
image sensor. The image sensor consists of picture elements, also called pixels, that register the amount
of light that falls on them. They convert the received amount of light into a corresponding number of
electrons. The stronger the light, the more electrons are generated. The electrons are converted into
voltage and then transformed into numbers by means of an A/D-converter. The signal constituted by the
numbers is processed by electronic circuits inside the camera.
CMOS and CCD are the two most popular types of image sensors. CMOS sensors use less power and operate at faster speeds than CCD sensors, but have higher noise levels. CCD sensors have lower noise but require more power and operate more slowly. Both sensor types convert light into electrical signals that are then processed into digital images. They are widely used in applications like digital cameras, video cameras, CCTV security cameras, and copiers.
This document is an introduction to CMOS VLSI design and fabrication presented as a slideshow. It begins with an overview of VLSI and MOS transistors, explaining how transistors are built on a silicon substrate and doped to create n-type and p-type semiconductors. It then covers p-n junctions, MOSFET structure, and the operation of nMOS and pMOS transistors. The document introduces CMOS logic gates like inverters built from combinations of nMOS and pMOS transistors. It concludes with an overview of the CMOS fabrication process using lithography and various deposition and etching steps.
This document presents simulations and analysis of three different microelectromechanical systems (MEMS) devices using COMSOL Multiphysics: 1) a tunable MEMS capacitor with a movable plate, 2) an integrated square-shaped spiral inductor, and 3) a capacitive pressure sensor with a movable diaphragm. It provides the modeling, computations and results for each device.
glass substrates for semiconductor manufacturing 2013 Report by Yole Developp...Yole Developpement
This document provides a summary of a report analyzing glass substrates for semiconductor manufacturing applications. It includes an executive summary with market forecasts for glass substrates broken down by functionality, end application, and wafer size through 2018. It also outlines the scope of the report, companies cited, and key objectives. The report examines opportunities for glass substrates in applications such as MEMS, CIS, LEDs, memory, and more. It evaluates the 2012-2018 market and provides breakdowns by functionality and end application with both shipment and revenue forecasts.
The document describes the CMOS design and fabrication process. Key points include:
- CMOS uses complementary n-type and p-type MOS transistors to reduce power consumption.
- Transistors are built on a silicon substrate using dopants to create n-type and p-type regions. PN junctions form diodes and MOS capacitors.
- The CMOS fabrication process involves layering and patterning of silicon, oxides, and metals through steps like oxidation, lithography, etching, and doping.
RECENT DEVELOPMENTS IN LED MANUFACTURING 2016 Presentation by Santosh KUMAR o...Yole Developpement
INTRODUCTION TO YOLE DÉVELOPPEMENT AND LED ACTIVITIES
•LED MARKET OVERVIEW
•RECENT DEVELOPMENTS IN LED MANUFACTURING
•2015 STATUs OF THE LED INDUSTRY (AND FUTURE TRENDS)
•CONCLUSION
•APPENDIX-DETAILLED PRESENTATION OF YOLE DEVELOPPEMENT AND LED ACTIVITIES
For the full video of this presentation, please visit:
http://www.embedded-vision.com/industry-analysis/video-interviews-demos/computer-vision-and-artificial-intelligence-market-trends-a
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Anand Joshi of Tractica delivers the presentation, "Computer Vision and Artificial Intelligence: Market Trends and Implications," at the December 2015 Embedded Vision Alliance Member Meeting. Joshi presents market forecasts for vision in robotics, consumer, automotive, medical and other sectors.
This document provides an overview of CMOS technology. It discusses how CMOS circuits use complementary pairs of NMOS and PMOS transistors to implement logic gates like inverters. The CMOS inverter uses one transistor to pull the output low and the other to pull it high, allowing for low power operation. Larger CMOS logic gates consist of pull-down and pull-up networks of NMOS and PMOS transistors respectively. Transistor sizing is also covered, with sizing done to ensure equal driving capability between pull-up and pull-down networks.
Innovative MEMS technologies are spearheading the inkjet printing industry’s transformation.
From technology push to market pull, inkjet printing is entering a new era
Inkjet printing, which offers a flexible, cost-effective solution for printing personal documents, is still largely associated with home and small office printing. In parallel, large & wide format printing for CAD and graphic arts applications considers inkjet printing as its technology-of-choice for single prints and very small print runs. The democratization of digital applications in the early 2000s, spurred on by greater home internet usage and the appearance of digital cameras (which dramatically impacted the photo business), has influenced OEM printer manufacturers to develop high-quality, high-resolution printheads. MEMS technologies represent an attractive solution for creating a higher native density of nozzles-per-printheads at an acceptable manufacturing cost via mass production.
Office printing is one of the sectors that has recently benefited from MEMS printhead performance, competing with entry-level to mid-end laser printers. Moreover, the digital revolution is also gaining momentum in new sectors. For years, commercial and industrial applications have used analog printing solutions like flexography, offset printing, and screen-printing due to their high-volume production capacity and associated lower cost. However, these techniques are restrictive due to the use of a master, and not compatible with short runs < 4000m² printing surface. Today’s industrial and commercial applications require more diversity, as well as more instant service customization. Digital printing, specifically inkjet printing, is the solution to penetrating the three trillion square meters (m²) industrial market.
The document discusses touchless touchscreen technology, including touch walls that use infrared lasers to scan surfaces, touchless UIs that sense finger movements in 3D space without touching the screen, and touchless monitors that detect 3D motion without sensors. It provides examples of touchless technology inspired by Minority Report including eye tracking, gesture recognition, and motion sensing devices. The document concludes that touchless interfaces could transform bodies into virtual input devices in the future.
A touchless touchscreen uses optical pattern recognition and a solid state optical matrix sensor to detect hand movements in front of the screen instead of requiring physical contact. The sensor is made up of a matrix of pixels, each with photodiodes that convert incoming light to electric charge. The sensor generates signals that are processed by a digital image processor to provide output and interpret gestures without the user touching the display. Touchless touchscreens offer advantages like not wearing down the screen surface and allowing control from a distance, though sightline remains a limitation currently. The technology continues developing with potential for full body control of devices in the future.
Computing and AI technologies for mobile and consumer applications 2021 - SampleYole Developpement
Penetrating everyday products will see the market for AI technologies for the consumer market reach $5.6B in 2026.
More information : https://www.i-micronews.com/products/computing-and-ai-technologies-for-mobile-and-consumer-applications-2021/
For the first time, the processor monitor is including FPGA, CPU, GPU, and APU including all the IDMs, fabless companies, and foundries in the business.
More information : https://www.i-micronews.com/products/application-processor-quarterly-market-monitor/
For the first time in its history, the automotive industry must face new industrial and technological
challenges while undergoing dramatic changes in its value chain.
More information: https://www.i-micronews.com/products/automotive-semiconductor-trends-2021/
MicroLED Displays - Market, Industry and Technology Trends 2021Yole Developpement
Strong momentum for MicroLED with progress on all fronts. Cost is the biggest challenge, but Apple and Samsung are carving paths toward the consumer.
More information; https://www.i-micronews.com/products/microled-displays-market-industry-and-technology-trends-2021/
System-in-Package Technology and Market Trends 2021 - SampleYole Developpement
Through enabling design and supply chain agility, SiP will reach $19B by 2026, with IDMs, OSATs, and foundries taking advantage of it.
More information : https://www.i-micronews.com/products/system-in-package-technology-and-market-trends-2021/
Industrial, consumer, and automotive applications are driving the adoption of neuromorphic computing and sensing technologies. The first products are now hitting the market.
More information: https://www.i-micronews.com/products/neuromorphic-computing-and-sensing-2021/
Beyond communication, silicon photonics is penetrating consumer and automotive – heading to $1.1B in 2026.
More information: https://www.i-micronews.com/products/silicon-photonics-2021/
Semiconductor technologies will enable increased mobility and communication for the soldier of the future. This market will reach $17.5B in 2030+.
More information: https://www.i-micronews.com/products/future-soldier-technologies-2021/
This report from Yole Développement analyzes the high-end performance packaging market. It defines high-end performance packaging as technologies that provide high IO density (≥16/mm2) and fine IO pitch (≤130μm). The report aims to identify relevant technologies, analyze market drivers and challenges, describe technology trends and roadmaps, examine the supply chain landscape, and provide market forecasts. It evaluates the market by technology, end application, and region. The report also profiles key players' technology roadmaps and analyzes intellectual property in the 3D SoC hybrid bonding space.
CMOS and CCD are the two most popular types of image sensors. CMOS sensors use less power and operate at faster speeds than CCD sensors, but have higher noise levels. CCD sensors have lower noise but require more power and operate more slowly. Both sensor types convert light into electrical signals that are then processed into digital images. They are widely used in applications like digital cameras, video cameras, CCTV security cameras, and copiers.
This document is an introduction to CMOS VLSI design and fabrication presented as a slideshow. It begins with an overview of VLSI and MOS transistors, explaining how transistors are built on a silicon substrate and doped to create n-type and p-type semiconductors. It then covers p-n junctions, MOSFET structure, and the operation of nMOS and pMOS transistors. The document introduces CMOS logic gates like inverters built from combinations of nMOS and pMOS transistors. It concludes with an overview of the CMOS fabrication process using lithography and various deposition and etching steps.
This document presents simulations and analysis of three different microelectromechanical systems (MEMS) devices using COMSOL Multiphysics: 1) a tunable MEMS capacitor with a movable plate, 2) an integrated square-shaped spiral inductor, and 3) a capacitive pressure sensor with a movable diaphragm. It provides the modeling, computations and results for each device.
glass substrates for semiconductor manufacturing 2013 Report by Yole Developp...Yole Developpement
This document provides a summary of a report analyzing glass substrates for semiconductor manufacturing applications. It includes an executive summary with market forecasts for glass substrates broken down by functionality, end application, and wafer size through 2018. It also outlines the scope of the report, companies cited, and key objectives. The report examines opportunities for glass substrates in applications such as MEMS, CIS, LEDs, memory, and more. It evaluates the 2012-2018 market and provides breakdowns by functionality and end application with both shipment and revenue forecasts.
The document describes the CMOS design and fabrication process. Key points include:
- CMOS uses complementary n-type and p-type MOS transistors to reduce power consumption.
- Transistors are built on a silicon substrate using dopants to create n-type and p-type regions. PN junctions form diodes and MOS capacitors.
- The CMOS fabrication process involves layering and patterning of silicon, oxides, and metals through steps like oxidation, lithography, etching, and doping.
RECENT DEVELOPMENTS IN LED MANUFACTURING 2016 Presentation by Santosh KUMAR o...Yole Developpement
INTRODUCTION TO YOLE DÉVELOPPEMENT AND LED ACTIVITIES
•LED MARKET OVERVIEW
•RECENT DEVELOPMENTS IN LED MANUFACTURING
•2015 STATUs OF THE LED INDUSTRY (AND FUTURE TRENDS)
•CONCLUSION
•APPENDIX-DETAILLED PRESENTATION OF YOLE DEVELOPPEMENT AND LED ACTIVITIES
For the full video of this presentation, please visit:
http://www.embedded-vision.com/industry-analysis/video-interviews-demos/computer-vision-and-artificial-intelligence-market-trends-a
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Anand Joshi of Tractica delivers the presentation, "Computer Vision and Artificial Intelligence: Market Trends and Implications," at the December 2015 Embedded Vision Alliance Member Meeting. Joshi presents market forecasts for vision in robotics, consumer, automotive, medical and other sectors.
This document provides an overview of CMOS technology. It discusses how CMOS circuits use complementary pairs of NMOS and PMOS transistors to implement logic gates like inverters. The CMOS inverter uses one transistor to pull the output low and the other to pull it high, allowing for low power operation. Larger CMOS logic gates consist of pull-down and pull-up networks of NMOS and PMOS transistors respectively. Transistor sizing is also covered, with sizing done to ensure equal driving capability between pull-up and pull-down networks.
Innovative MEMS technologies are spearheading the inkjet printing industry’s transformation.
From technology push to market pull, inkjet printing is entering a new era
Inkjet printing, which offers a flexible, cost-effective solution for printing personal documents, is still largely associated with home and small office printing. In parallel, large & wide format printing for CAD and graphic arts applications considers inkjet printing as its technology-of-choice for single prints and very small print runs. The democratization of digital applications in the early 2000s, spurred on by greater home internet usage and the appearance of digital cameras (which dramatically impacted the photo business), has influenced OEM printer manufacturers to develop high-quality, high-resolution printheads. MEMS technologies represent an attractive solution for creating a higher native density of nozzles-per-printheads at an acceptable manufacturing cost via mass production.
Office printing is one of the sectors that has recently benefited from MEMS printhead performance, competing with entry-level to mid-end laser printers. Moreover, the digital revolution is also gaining momentum in new sectors. For years, commercial and industrial applications have used analog printing solutions like flexography, offset printing, and screen-printing due to their high-volume production capacity and associated lower cost. However, these techniques are restrictive due to the use of a master, and not compatible with short runs < 4000m² printing surface. Today’s industrial and commercial applications require more diversity, as well as more instant service customization. Digital printing, specifically inkjet printing, is the solution to penetrating the three trillion square meters (m²) industrial market.
The document discusses touchless touchscreen technology, including touch walls that use infrared lasers to scan surfaces, touchless UIs that sense finger movements in 3D space without touching the screen, and touchless monitors that detect 3D motion without sensors. It provides examples of touchless technology inspired by Minority Report including eye tracking, gesture recognition, and motion sensing devices. The document concludes that touchless interfaces could transform bodies into virtual input devices in the future.
A touchless touchscreen uses optical pattern recognition and a solid state optical matrix sensor to detect hand movements in front of the screen instead of requiring physical contact. The sensor is made up of a matrix of pixels, each with photodiodes that convert incoming light to electric charge. The sensor generates signals that are processed by a digital image processor to provide output and interpret gestures without the user touching the display. Touchless touchscreens offer advantages like not wearing down the screen surface and allowing control from a distance, though sightline remains a limitation currently. The technology continues developing with potential for full body control of devices in the future.
Computing and AI technologies for mobile and consumer applications 2021 - SampleYole Developpement
Penetrating everyday products will see the market for AI technologies for the consumer market reach $5.6B in 2026.
More information : https://www.i-micronews.com/products/computing-and-ai-technologies-for-mobile-and-consumer-applications-2021/
For the first time, the processor monitor is including FPGA, CPU, GPU, and APU including all the IDMs, fabless companies, and foundries in the business.
More information : https://www.i-micronews.com/products/application-processor-quarterly-market-monitor/
For the first time in its history, the automotive industry must face new industrial and technological
challenges while undergoing dramatic changes in its value chain.
More information: https://www.i-micronews.com/products/automotive-semiconductor-trends-2021/
MicroLED Displays - Market, Industry and Technology Trends 2021Yole Developpement
Strong momentum for MicroLED with progress on all fronts. Cost is the biggest challenge, but Apple and Samsung are carving paths toward the consumer.
More information; https://www.i-micronews.com/products/microled-displays-market-industry-and-technology-trends-2021/
System-in-Package Technology and Market Trends 2021 - SampleYole Developpement
Through enabling design and supply chain agility, SiP will reach $19B by 2026, with IDMs, OSATs, and foundries taking advantage of it.
More information : https://www.i-micronews.com/products/system-in-package-technology-and-market-trends-2021/
Industrial, consumer, and automotive applications are driving the adoption of neuromorphic computing and sensing technologies. The first products are now hitting the market.
More information: https://www.i-micronews.com/products/neuromorphic-computing-and-sensing-2021/
Beyond communication, silicon photonics is penetrating consumer and automotive – heading to $1.1B in 2026.
More information: https://www.i-micronews.com/products/silicon-photonics-2021/
Semiconductor technologies will enable increased mobility and communication for the soldier of the future. This market will reach $17.5B in 2030+.
More information: https://www.i-micronews.com/products/future-soldier-technologies-2021/
This report from Yole Développement analyzes the high-end performance packaging market. It defines high-end performance packaging as technologies that provide high IO density (≥16/mm2) and fine IO pitch (≤130μm). The report aims to identify relevant technologies, analyze market drivers and challenges, describe technology trends and roadmaps, examine the supply chain landscape, and provide market forecasts. It evaluates the market by technology, end application, and region. The report also profiles key players' technology roadmaps and analyzes intellectual property in the 3D SoC hybrid bonding space.
5G’s Impact on RF Front-End and Connectivity for Cellphones 2020Yole Developpement
An intensifying US-China competition for RF technology supremacy.
More information on: https://www.i-micronews.com/products/5gs-impact-on-rf-front-end-and-connectivity-for-cellphones-2020/
In the ultrasound module market, CMUT and PMUT are growing two times faster in medical and consumer applications.
More information: https://www.i-micronews.com/products/ultrasound-sensing-technologies-2020/
The entrance of Chinese players and the rise of new technical solutions are poised to trigger profound changes in the memory business.
More information on: https://www.i-micronews.com/products/status-of-the-memory-industry-2020/
GaAs Wafer and Epiwafer Market: RF, Photonics, LED, Display and PV Applicatio...Yole Developpement
The report provides a market analysis of the GaAs wafer and epiwafer markets from 2019 to 2025. It forecasts that the GaAs wafer market will increase from $200 million in 2019 to $348 million in 2025, with the largest application segments being RF, photonics, and LED. The open epiwafer market is also analyzed, with IQE and VPEC together comprising almost 80% of the $262 million total market in 2019. Key drivers of growth are discussed for various applications such as 5G adoption for RF and increasing use of VCSELs for 3D sensing and LiDAR.
Status of the Radar Industry: Players, Applications and Technology Trends 2020Yole Developpement
Worth more than $20B in 2019, the radar industry is experiencing a major transformation prior to entering the commercial era.
Learn more about the report here: https://www.i-micronews.com/products/status-of-the-radar-industry-players-applications-and-technology-trends-2020/
GaN RF Market: Applications, Players, Technology and Substrates 2020Yole Developpement
Driven by military applications and 5G telecom infrastructure, the GaN RF market continues growing.
Learn more about the report here: https://www.i-micronews.com/products/gan-rf-market-applications-players-technology-and-substrates-2020/
Pressure, inertial, MEMS ultrasound, microfluidic chips and other sensors are driving the growth of the life sciences and healthcare market.
More information: https://www.i-micronews.com/products/biomems-market-and-technology-2020/
Market will more than double by 2025 driven by heavy investments in data centers.
More information: https://www.i-micronews.com/products/optical-transceivers-for-datacom-telecom-2020/
COVID-19 is shaking up the diagnostics industry and will have both short- and long-term impact.
More information: https://www.i-micronews.com/products/point-of-need-2020-including-pcr-based-testing/
Pluggable transceivers in high volume production. Co-packaged optics in line of sight.
More information on: https://www.i-micronews.com/products/silicon-photonics-2020/
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Introducing BoxLang : A new JVM language for productivity and modularity!Ortus Solutions, Corp
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.