- The uncooled infrared imager and detector market is attracting interest from big companies like LG Innotek, Amazon, and Caterpillar as these companies launch new products using these technologies.
- Annual shipments of microbolometers are expected to reach 2 million units by 2021, up from 1.3 million units shipped in 2017, driven by new applications.
- The top 3 players in the microbolometer market in 2017 were FLIR with 66% market share, ULIS with 13% share, and Seek Thermal with 12% after shipping over 100,000 units. The infrared detector market remains more conservative with the top 5 players holding around 80% of the $252 million market
Helmet Detection using Machine LearningIRJET Journal
This document presents a system for detecting motorcycle riders who are not wearing helmets using machine learning. The system takes video as input and analyzes each frame to detect two-wheeler vehicles and determine if the rider is wearing a helmet or not. If a rider is identified as not wearing a helmet, the system captures the vehicle's number plate. It uses techniques like YOLO for object detection, convolutional neural networks for classification of vehicles and helmets, and optical character recognition to extract the number plate. The system is aimed at enforcing traffic rules and increasing road safety by automatically identifying helmet violations.
This document summarizes a student project to develop number plate recognition using MATLAB. The objectives are to identify the number plate region on a vehicle, and recognize the numbers and letters. The methodology involves capturing an image, preprocessing it, extracting the plate region, segmenting individual characters, and recognizing each character by comparing it to templates. Some key assumptions are that the vehicle position is fixed, there is single lane traffic, and illumination is provided. Potential applications include vehicle security, parking management, toll collection, and law enforcement.
This project aims to analyze a large road accident dataset using Hadoop and Apache Zeppelin to generate a decision tree. The heterogeneous and unstructured nature of accident data makes it difficult to analyze with typical databases. The proposed system uses data mining techniques like clustering with MapReduce to identify patterns and relationships in the data. This can help government agencies identify highly accident-prone areas and recommend safety improvements. The project involves data pre-processing, building a distributed processing architecture with Hadoop, generating a decision tree, and visualizing results in Apache Zeppelin.
Exploring machine learning techniques for fake profile detection in online so...IJECEIAES
The online social network is the largest network, more than 4 billion users use social media and with its rapid growth, the risk of maintaining the integrity of data has tremendously increased. There are several kinds of security challenges in online social networks (OSNs). Many abominable behaviors try to hack social sites and misuse the data available on these sites. Therefore, protection against such behaviors has become an essential requirement. Though there are many types of security threats in online social networks but, one of the significant threats is the fake profile. Fake profiles are created intentionally with certain motives, and such profiles may be targeted to steal or acquire sensitive information and/or spread rumors on online social networks with specific motives. Fake profiles are primarily used to steal or extract information by means of friendly interaction online and/or misusing online data available on social sites. Thus, fake profile detection in social media networks is attracting the attention of researchers. This paper aims to discuss various machine learning (ML) methods used by researchers for fake profile detection to explore the further possibility of improvising the machine learning models for speedy results.
Seminar on Driver Behaviour Detection using Swarm Intelligence.Rajani Suryavanshi
This document presents an approach for context-aware driver behavior detection using pervasive computing. It aims to reduce road accidents caused by driver errors by alerting drivers in a timely manner. The approach uses a three-tier network to gather context data from sensors using wireless sensor networks. Swarm intelligence and ant colony optimization are then used to infer driver behavior from the collected context data and detect unacceptable behaviors like fatigue or intoxication. The approach integrates wireless sensor networks, vehicle ad hoc networks, and swarm intelligence for comprehensive and reliable driver behavior monitoring.
We offer drone services for Agriculture, Pesticide Spraying, Mapping & surveying drones, Crowd Monitoring, Wildlife Monitoring, Power line Stringing, Aerial Inspection, Delivery, Wildlife Poaching,reforesting,logistics,chimney inspection,structural damage inspection,Inspection of construction sites.Drones have proven to be 50% more effective as opposed to manual workers performing similar operations.
For more information visit us at https://www.garudaaerospace.com/
The document discusses Automatic Number Plate Recognition (ANPR) technology. It describes how ANPR systems use optical character recognition on images of vehicle license plates to read the plates automatically. It discusses the hardware and software components needed for ANPR, including cameras, frame grabbers, and license plate recognition software. It also outlines several applications of ANPR systems, such as traffic law enforcement, security, and toll collection.
Helmet Detection using Machine LearningIRJET Journal
This document presents a system for detecting motorcycle riders who are not wearing helmets using machine learning. The system takes video as input and analyzes each frame to detect two-wheeler vehicles and determine if the rider is wearing a helmet or not. If a rider is identified as not wearing a helmet, the system captures the vehicle's number plate. It uses techniques like YOLO for object detection, convolutional neural networks for classification of vehicles and helmets, and optical character recognition to extract the number plate. The system is aimed at enforcing traffic rules and increasing road safety by automatically identifying helmet violations.
This document summarizes a student project to develop number plate recognition using MATLAB. The objectives are to identify the number plate region on a vehicle, and recognize the numbers and letters. The methodology involves capturing an image, preprocessing it, extracting the plate region, segmenting individual characters, and recognizing each character by comparing it to templates. Some key assumptions are that the vehicle position is fixed, there is single lane traffic, and illumination is provided. Potential applications include vehicle security, parking management, toll collection, and law enforcement.
This project aims to analyze a large road accident dataset using Hadoop and Apache Zeppelin to generate a decision tree. The heterogeneous and unstructured nature of accident data makes it difficult to analyze with typical databases. The proposed system uses data mining techniques like clustering with MapReduce to identify patterns and relationships in the data. This can help government agencies identify highly accident-prone areas and recommend safety improvements. The project involves data pre-processing, building a distributed processing architecture with Hadoop, generating a decision tree, and visualizing results in Apache Zeppelin.
Exploring machine learning techniques for fake profile detection in online so...IJECEIAES
The online social network is the largest network, more than 4 billion users use social media and with its rapid growth, the risk of maintaining the integrity of data has tremendously increased. There are several kinds of security challenges in online social networks (OSNs). Many abominable behaviors try to hack social sites and misuse the data available on these sites. Therefore, protection against such behaviors has become an essential requirement. Though there are many types of security threats in online social networks but, one of the significant threats is the fake profile. Fake profiles are created intentionally with certain motives, and such profiles may be targeted to steal or acquire sensitive information and/or spread rumors on online social networks with specific motives. Fake profiles are primarily used to steal or extract information by means of friendly interaction online and/or misusing online data available on social sites. Thus, fake profile detection in social media networks is attracting the attention of researchers. This paper aims to discuss various machine learning (ML) methods used by researchers for fake profile detection to explore the further possibility of improvising the machine learning models for speedy results.
Seminar on Driver Behaviour Detection using Swarm Intelligence.Rajani Suryavanshi
This document presents an approach for context-aware driver behavior detection using pervasive computing. It aims to reduce road accidents caused by driver errors by alerting drivers in a timely manner. The approach uses a three-tier network to gather context data from sensors using wireless sensor networks. Swarm intelligence and ant colony optimization are then used to infer driver behavior from the collected context data and detect unacceptable behaviors like fatigue or intoxication. The approach integrates wireless sensor networks, vehicle ad hoc networks, and swarm intelligence for comprehensive and reliable driver behavior monitoring.
We offer drone services for Agriculture, Pesticide Spraying, Mapping & surveying drones, Crowd Monitoring, Wildlife Monitoring, Power line Stringing, Aerial Inspection, Delivery, Wildlife Poaching,reforesting,logistics,chimney inspection,structural damage inspection,Inspection of construction sites.Drones have proven to be 50% more effective as opposed to manual workers performing similar operations.
For more information visit us at https://www.garudaaerospace.com/
The document discusses Automatic Number Plate Recognition (ANPR) technology. It describes how ANPR systems use optical character recognition on images of vehicle license plates to read the plates automatically. It discusses the hardware and software components needed for ANPR, including cameras, frame grabbers, and license plate recognition software. It also outlines several applications of ANPR systems, such as traffic law enforcement, security, and toll collection.
This presentation proposes an online system for filing First Information Reports (FIRs) with police departments in Punjab, India. The system aims to make the FIR filing process more convenient, accessible, and secure by allowing citizens to file reports over the internet from their homes. It outlines modules for users to register, log in, fill out an FIR form, check FIR statuses, and for administrators to manage cities, police stations, and FIR records. The goal is to help law and justice be more available to citizens through computer technology and improve communication between the public and police.
This document describes the key features and functionality of rental management software. The software allows companies to manage vehicle, customer, and agreement/invoice information for car rentals. It includes modules to create and track rental agreements and invoices, make reservations, and generate various reports on vehicles, customers, receivables, and revenue. The software aims to improve operational control and management for car rental businesses.
Self-driving cars can navigate without human input using sensors to detect their environment. They can steer autonomously, avoid obstacles, and obey speed limits. Early concepts date back to Leonardo Da Vinci but significant advances include cruise control in the 1940s and adding cameras/computers to detect objects in the 1980s. Modern versions use technologies like lasers, cameras, radars, and ultrasonics along with GPS and highly detailed maps to locate themselves and monitor surroundings. Potential benefits include fewer accidents, reduced injuries, less traffic and fuel used, and lower transportation costs.
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 document presents a proposed methodology for offline signature recognition using global and grid features extracted from signature images. The methodology involves preprocessing signatures, extracting global and grid features using discrete wavelet transforms, training a backpropagation neural network on the features, and classifying signatures based on the trained network. Experimental results show classification accuracy rates ranging from 89-93% for signatures from 10 to 50 individuals. Future work could involve exploring different signature features to potentially improve recognition performance.
The document discusses how big data and artificial intelligence can enable smart traffic management. It provides examples of how AI cameras, cellular data collection from mobile apps, and edge computing can be used with machine learning algorithms to analyze traffic patterns, detect violations, and optimize traffic signal timing. The results include reducing traffic delays, improving traffic flow, increasing road safety, and enhancing law enforcement efficiency.
This document discusses the development of self-driving car technology and its potential impacts. It describes Google and Tesla's different approaches to autonomous vehicles, with Google focusing on high-precision mapping and Tesla emphasizing visual cameras. The document suggests self-driving cars will transform transportation and open up new business opportunities by turning cars into app platforms and freeing up land used for parking. It argues businesses should embrace exponential changes from self-driving cars to find ways to provide entertainment, productivity or other services to customers during rides.
Automatic number plate recognition (ANPR) uses cameras and optical character recognition software to read vehicle license plates. The technology was developed in the UK in the 1970s and uses infrared cameras and lighting to capture plate images day or night. ANPR systems analyze plate images using character segmentation and recognition algorithms to identify plate characters and check them against databases. ANPR has applications in law enforcement, parking, tolling, and border control by identifying vehicles as they pass by mounted cameras.
Video Surveillance Market in India - A Blueprint to Enhance SalesNeil Dave
The Video Surveillance Market in India is expected to reach USD 4.8 Billion by the year 2025, growing at a CAGR of 16.2% during the forecast period of 2020-2025.
The focus of this presentation is to keep Industry Participants abreast of major infrastructure developments across 8 key end-user sectors that are expected to result in high-value sales opportunities in the near term future.
This presentation also sheds light on the key trends within the Video Surveillance Market in India in terms of market size and growth forecasts, market segmentation, market drivers and restraints.
The document presents information on driverless cars, including a brief history of autonomous vehicles from 1969. It discusses how driverless cars use sensors and software to navigate without human input, and considers issues like safety, economic impacts, and how autonomous technology could affect transportation. While driverless cars may reduce accidents and open up new mobility options, challenges include high costs, job disruption, and ensuring computer systems don't cause crashes. The conclusion discusses both benefits of and social barriers to autonomous vehicle adoption.
This document discusses MindShare Connect Pvt Ltd's implementation of a biometric fingerprint system to improve their staff attendance tracking and payroll processing. It begins with background on biometric technologies and an overview of MSC. It then analyzes the benefits of the fingerprint system for MSC compared to their traditional paper-based system, finding improvements in security, accountability, and convenience. Data accuracy and payroll processing speed increased significantly. While implementation costs were high, the system provides scalability, cost-effectiveness, and efficiency. A biometric solution matrix rates the fingerprint system moderately suitable for MSC's physical access and time/attendance needs based on scope, receptiveness, exclusivity, and urgency factors.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
The document proposes a pothole detection system using a Raspberry Pi camera to capture images of the road surface and detect potholes in real-time. When a pothole is detected, the system will alert the driver and notify municipal authorities, providing the location and dimensions of the pothole. This aims to help drivers avoid potholes and reduce accidents, while helping municipalities address infrastructure issues more quickly. The proposed system uses inexpensive, accessible hardware and computer vision algorithms to achieve this goal in a low-cost manner.
- People would have more free time that is currently spent driving that could be used for work or leisure activities like reading, socializing, or entertainment.
- Transportation services utilizing self-driving cars could become more accessible for those unable to drive such as the elderly or disabled.
- New types of businesses may emerge catering to passengers in self-driving cars such as mobile offices, restaurants, or shops.
3D Imaging & Sensing 2018 Reports by Yole DeveloppementYole Developpement
The iPhone X initiated a trend. What happens next?
More information here: https://www.i-micronews.com/category-listing/product/p3d-imaging-sensing-2018.html
Light Shaping Technologies for Consumer and Automotive Applications 2019Yole Developpement
This report analyzes the market for light shaping technologies used in consumer electronics and automotive applications. It provides market forecasts for optical systems and components from 2018 to 2024 for smartphones, augmented/virtual reality devices, and automotive. It also examines the supply chains and major technology trends in these industries, such as the increasing use of microtechnologies like diffractive optical elements, MEMS scanners, and liquid crystal technologies. The report traces the evolution of these technologies from their origins in technologies that enabled the compact disc in the 1980s to their current applications in smartphones, AR/VR, 3D sensing, LiDAR, and automotive lighting and sensors.
Microphones, Microspeakers and Audio Solutions Market and Technology Trends 2019Yole Developpement
The voice-based world is shaking up the audio industry, making it worth $20.8B in 2024.
More information on https://www.i-micronews.com/products/microphones-microspeakers-and-audio-solutions-market-and-technology-trends-2019/
IR LEDS and VCSELs - Technology, Applications and Industry Trends - 2017 Repo...Yole Developpement
3D imaging, gas sensing and autofocus will fuel the IR light source market to reach US$3.8B in 2027.
INFRA-RED LIGHT SOURCES: A $1.5B OPPORTUNITY IN 2022 – AND POTENTIALLY $3.8B IN 2027 – DRIVEN BY SEVERAL NEW APPLICATIONS
The market for LED and laser infra-red (IR) light sources is not new, but has evolved rapidly with the recent development of Solid State Lighting (SSL). Initially developed for optical communication applications, these technologies, mostly IR LEDs, started to be integrated into consumer applications like remote controls in the 1980s. Next, the market was driven forward by night vision applications such as surveillance cameras. But it’s only recently, with the development of smartphones, that IR LEDs and lasers have come back to prominence. And now, the market is set for growth for the next 10 years! Today, these technologies are part of a new revolution, still driven by smartphone applications. Integration of breakthrough functionalities such as 3D imaging, autofocus, iris and face recognition is triggering a strong market pull for efficient, miniaturized and complex IR illumination. This trend will also create strong market opportunities for IR lasers, mostly VCSELs, which allow more coherent and directional light than IR LEDs. In this context, we expect the IR light source market to grow from around $450M in 2016 to around $1,550M in 2022 at a compound annual growth rate of 22.7%. In addition, there are also several other applications that are emerging and for which a market boom is likely to happen in the next 10 years. These include gas sensors, LIDARs, driver monitoring systems and remote patient monitoring sensors. We expect this second wave of new applications to propel the IR light source market to around $3,800M in 2027. This report provides an in-depth analysis of all IR light source applications, including: basic principles, technology, trends, key players, and market size. It highlights the global landscape for IR light sources, including classification of applications by wavelength, market segment and function. Detailed market forecasts are given based on these classifications and with complementary analysis by light source for LEDs, edge-emitting lasers and VCSELs. Please note that optical communication applications are not analyzed in this report.
For more information please visit our website: https://www.i-micronews.com/reports.html
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/
LiDAR for Automotive and Industrial Applications 2019 by Yole DéveloppementYole Developpement
This document provides an overview and analysis of the LiDAR market from 2018-2024. It finds that the total LiDAR market is expected to grow at a 29% CAGR to $6 billion by 2024, driven primarily by the automotive sector. Within automotive, ADAS vehicles are forecasted to have a 55% CAGR and become the main application. The report also examines the various LiDAR technologies, players, investments, costs, and timelines for integration into vehicles. It finds that while over 50 companies are targeting the automotive market, industry consolidation is expected as only a limited number will succeed.
The one million robotic vehicle milestone will be reached by end of the decade: The industrial phase has been launched.
More information on: https://www.i-micronews.com/products/sensors-for-robotic-mobility-2020/
This presentation proposes an online system for filing First Information Reports (FIRs) with police departments in Punjab, India. The system aims to make the FIR filing process more convenient, accessible, and secure by allowing citizens to file reports over the internet from their homes. It outlines modules for users to register, log in, fill out an FIR form, check FIR statuses, and for administrators to manage cities, police stations, and FIR records. The goal is to help law and justice be more available to citizens through computer technology and improve communication between the public and police.
This document describes the key features and functionality of rental management software. The software allows companies to manage vehicle, customer, and agreement/invoice information for car rentals. It includes modules to create and track rental agreements and invoices, make reservations, and generate various reports on vehicles, customers, receivables, and revenue. The software aims to improve operational control and management for car rental businesses.
Self-driving cars can navigate without human input using sensors to detect their environment. They can steer autonomously, avoid obstacles, and obey speed limits. Early concepts date back to Leonardo Da Vinci but significant advances include cruise control in the 1940s and adding cameras/computers to detect objects in the 1980s. Modern versions use technologies like lasers, cameras, radars, and ultrasonics along with GPS and highly detailed maps to locate themselves and monitor surroundings. Potential benefits include fewer accidents, reduced injuries, less traffic and fuel used, and lower transportation costs.
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 document presents a proposed methodology for offline signature recognition using global and grid features extracted from signature images. The methodology involves preprocessing signatures, extracting global and grid features using discrete wavelet transforms, training a backpropagation neural network on the features, and classifying signatures based on the trained network. Experimental results show classification accuracy rates ranging from 89-93% for signatures from 10 to 50 individuals. Future work could involve exploring different signature features to potentially improve recognition performance.
The document discusses how big data and artificial intelligence can enable smart traffic management. It provides examples of how AI cameras, cellular data collection from mobile apps, and edge computing can be used with machine learning algorithms to analyze traffic patterns, detect violations, and optimize traffic signal timing. The results include reducing traffic delays, improving traffic flow, increasing road safety, and enhancing law enforcement efficiency.
This document discusses the development of self-driving car technology and its potential impacts. It describes Google and Tesla's different approaches to autonomous vehicles, with Google focusing on high-precision mapping and Tesla emphasizing visual cameras. The document suggests self-driving cars will transform transportation and open up new business opportunities by turning cars into app platforms and freeing up land used for parking. It argues businesses should embrace exponential changes from self-driving cars to find ways to provide entertainment, productivity or other services to customers during rides.
Automatic number plate recognition (ANPR) uses cameras and optical character recognition software to read vehicle license plates. The technology was developed in the UK in the 1970s and uses infrared cameras and lighting to capture plate images day or night. ANPR systems analyze plate images using character segmentation and recognition algorithms to identify plate characters and check them against databases. ANPR has applications in law enforcement, parking, tolling, and border control by identifying vehicles as they pass by mounted cameras.
Video Surveillance Market in India - A Blueprint to Enhance SalesNeil Dave
The Video Surveillance Market in India is expected to reach USD 4.8 Billion by the year 2025, growing at a CAGR of 16.2% during the forecast period of 2020-2025.
The focus of this presentation is to keep Industry Participants abreast of major infrastructure developments across 8 key end-user sectors that are expected to result in high-value sales opportunities in the near term future.
This presentation also sheds light on the key trends within the Video Surveillance Market in India in terms of market size and growth forecasts, market segmentation, market drivers and restraints.
The document presents information on driverless cars, including a brief history of autonomous vehicles from 1969. It discusses how driverless cars use sensors and software to navigate without human input, and considers issues like safety, economic impacts, and how autonomous technology could affect transportation. While driverless cars may reduce accidents and open up new mobility options, challenges include high costs, job disruption, and ensuring computer systems don't cause crashes. The conclusion discusses both benefits of and social barriers to autonomous vehicle adoption.
This document discusses MindShare Connect Pvt Ltd's implementation of a biometric fingerprint system to improve their staff attendance tracking and payroll processing. It begins with background on biometric technologies and an overview of MSC. It then analyzes the benefits of the fingerprint system for MSC compared to their traditional paper-based system, finding improvements in security, accountability, and convenience. Data accuracy and payroll processing speed increased significantly. While implementation costs were high, the system provides scalability, cost-effectiveness, and efficiency. A biometric solution matrix rates the fingerprint system moderately suitable for MSC's physical access and time/attendance needs based on scope, receptiveness, exclusivity, and urgency factors.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
The document proposes a pothole detection system using a Raspberry Pi camera to capture images of the road surface and detect potholes in real-time. When a pothole is detected, the system will alert the driver and notify municipal authorities, providing the location and dimensions of the pothole. This aims to help drivers avoid potholes and reduce accidents, while helping municipalities address infrastructure issues more quickly. The proposed system uses inexpensive, accessible hardware and computer vision algorithms to achieve this goal in a low-cost manner.
- People would have more free time that is currently spent driving that could be used for work or leisure activities like reading, socializing, or entertainment.
- Transportation services utilizing self-driving cars could become more accessible for those unable to drive such as the elderly or disabled.
- New types of businesses may emerge catering to passengers in self-driving cars such as mobile offices, restaurants, or shops.
3D Imaging & Sensing 2018 Reports by Yole DeveloppementYole Developpement
The iPhone X initiated a trend. What happens next?
More information here: https://www.i-micronews.com/category-listing/product/p3d-imaging-sensing-2018.html
Light Shaping Technologies for Consumer and Automotive Applications 2019Yole Developpement
This report analyzes the market for light shaping technologies used in consumer electronics and automotive applications. It provides market forecasts for optical systems and components from 2018 to 2024 for smartphones, augmented/virtual reality devices, and automotive. It also examines the supply chains and major technology trends in these industries, such as the increasing use of microtechnologies like diffractive optical elements, MEMS scanners, and liquid crystal technologies. The report traces the evolution of these technologies from their origins in technologies that enabled the compact disc in the 1980s to their current applications in smartphones, AR/VR, 3D sensing, LiDAR, and automotive lighting and sensors.
Microphones, Microspeakers and Audio Solutions Market and Technology Trends 2019Yole Developpement
The voice-based world is shaking up the audio industry, making it worth $20.8B in 2024.
More information on https://www.i-micronews.com/products/microphones-microspeakers-and-audio-solutions-market-and-technology-trends-2019/
IR LEDS and VCSELs - Technology, Applications and Industry Trends - 2017 Repo...Yole Developpement
3D imaging, gas sensing and autofocus will fuel the IR light source market to reach US$3.8B in 2027.
INFRA-RED LIGHT SOURCES: A $1.5B OPPORTUNITY IN 2022 – AND POTENTIALLY $3.8B IN 2027 – DRIVEN BY SEVERAL NEW APPLICATIONS
The market for LED and laser infra-red (IR) light sources is not new, but has evolved rapidly with the recent development of Solid State Lighting (SSL). Initially developed for optical communication applications, these technologies, mostly IR LEDs, started to be integrated into consumer applications like remote controls in the 1980s. Next, the market was driven forward by night vision applications such as surveillance cameras. But it’s only recently, with the development of smartphones, that IR LEDs and lasers have come back to prominence. And now, the market is set for growth for the next 10 years! Today, these technologies are part of a new revolution, still driven by smartphone applications. Integration of breakthrough functionalities such as 3D imaging, autofocus, iris and face recognition is triggering a strong market pull for efficient, miniaturized and complex IR illumination. This trend will also create strong market opportunities for IR lasers, mostly VCSELs, which allow more coherent and directional light than IR LEDs. In this context, we expect the IR light source market to grow from around $450M in 2016 to around $1,550M in 2022 at a compound annual growth rate of 22.7%. In addition, there are also several other applications that are emerging and for which a market boom is likely to happen in the next 10 years. These include gas sensors, LIDARs, driver monitoring systems and remote patient monitoring sensors. We expect this second wave of new applications to propel the IR light source market to around $3,800M in 2027. This report provides an in-depth analysis of all IR light source applications, including: basic principles, technology, trends, key players, and market size. It highlights the global landscape for IR light sources, including classification of applications by wavelength, market segment and function. Detailed market forecasts are given based on these classifications and with complementary analysis by light source for LEDs, edge-emitting lasers and VCSELs. Please note that optical communication applications are not analyzed in this report.
For more information please visit our website: https://www.i-micronews.com/reports.html
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/
LiDAR for Automotive and Industrial Applications 2019 by Yole DéveloppementYole Developpement
This document provides an overview and analysis of the LiDAR market from 2018-2024. It finds that the total LiDAR market is expected to grow at a 29% CAGR to $6 billion by 2024, driven primarily by the automotive sector. Within automotive, ADAS vehicles are forecasted to have a 55% CAGR and become the main application. The report also examines the various LiDAR technologies, players, investments, costs, and timelines for integration into vehicles. It finds that while over 50 companies are targeting the automotive market, industry consolidation is expected as only a limited number will succeed.
The one million robotic vehicle milestone will be reached by end of the decade: The industrial phase has been launched.
More information on: https://www.i-micronews.com/products/sensors-for-robotic-mobility-2020/
RF GaN Market: Applications, Players, Technology and Substrates 2019 report b...Yole Developpement
GaN RF market growth is fed by military and 5G wireless infrastructure applications.
More information on https://www.i-micronews.com/products/rf-gan-market-applications-players-technology-and-substrates-2019/
High-End Inertial Sensors for Defense, Aerospace and Industrial Applications ...Yole Developpement
High-end inertial sensors are the backbone of systems that will enable autonomous transportation and the new space industry.
More information on: https://www.i-micronews.com/products/high-end-inertial-sensors-for-defense-aerospace-and-industrial-applications-2020/
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/
Proliferation of cameras for imaging and sensing is driving CMOS image sensor (CIS) growth.
More information on that report at : https://www.i-micronews.com/report/product/status-of-the-cis-industry-2018.html
How the MEMS Industry Can Extract More Value From its Customers? by JC. Eloy ...Yole Developpement
The document discusses how the MEMS industry can extract more value from customers. It notes that while MEMS markets and volumes are growing, the value is shifting from individual sensor devices to integrated sensor functions and data processing. The document advocates that MEMS companies change their mindset from selling standalone sensors to developing integrated sensor functions through packaging, combining multiple sensors, and adding software for data processing and new applications. This will allow MEMS players to better capture value in the growing markets for wearables, mobile devices, and other electronic products.
Machine Vision for Industry and Automation 2018 Report by Yole DeveloppementYole Developpement
Machine vision is at the heart of the automation revolution.
More information on that report at https://www.i-micronews.com/report/product/machine-vision-for-industry-and-automation-2018.html
Driven by application diversification, IPDs (integrated passive devices) continue their promising
growth.
Today, miniaturization and integration are key drivers in electronic devices. This is even more critical in several consumer applications, where thinner devices mean higher integration levels, necessitating low-profile components.
More information on that report at http://www.i-micronews.com/reports.html
Wafer starts for More than Moore applications 2018 Report by Yole Developpement Yole Developpement
Driven by megatrend markets, More than Moore devices’ overall wafer demand is expected to grow at an almost 10% CAGR from 2017 to 2023.
More information on that report at https://www.i-micronews.com/report/product/wafer-starts-for-more-than-moore-applications.html
Status of the Camera Module Industry 2019 – Focus on Wafer Level Optics repor...Yole Developpement
This document provides an overview and analysis of the camera module industry in 2019 with a focus on wafer level optics. It includes the following key points:
- The report objectives are to provide market data, analysis of the industry ecosystem and value chain, and insights into technology trends in areas like wafer level optics.
- The methodology involves aggregating information from various sources to build a bottom-up forecast model for metrics like revenue, shipments and market share.
- The camera module industry ecosystem includes players that supply image sensors, lenses, autofocus and optical image stabilization components, and camera module assembly, with a total revenue of $27.1 billion in 2018.
A cooled infrared sensor is a type of thermal imaging camera with a detector that is kept below room temperature by a cryogenic cooler. The main benefit of cooled detectors over uncooled detectors is that they are more sensitive, which means that images are clearer from farther away or when there is less light. Cooled detectors are less likely to pick up noise and can be made much smaller than detectors that don't have to be cooled. Several industries, such as aerospace and defense, mining, oil and gas, and consumer electronics, use cooled infrared sensors more and more.
Nano-Imprint Technology Trends for Semiconductor Applications 2019 Report by...Yole Developpement
Nano-Imprint Lithography is revived by photonics and biochips as well as front-end memory applications.
More information on: https://www.i-micronews.com/products/nano-imprint-technology-trends-for-semiconductor-applications-2019/
Report’s Key Features
• PDF with > 80 slides
• Excel file > 4,350 patents
• Overview of the most recent patents published in 2019 by MEMS players.
• Main patent applicants.
• Main MEMS technologies and devices analyzed:
– Inertial sensors (accelerometers, gyroscopes, IMUs)
– Microphones
– Microspeakers
– Ultrasonic sensors
– Gas sensors
– Pressure sensors
– Micromirrors
– MEMS Packaging
• IP dynamics and trends of the different MEMS devices.
• Comparison of recent IP and market activities.
• Noticeable 2019 patents from main players.
• Excel database containing all patents analyzed in the report, including technology and application segmentation.
Similar to Uncooled Infrared Imagers and Detectors 2019 (20)
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/
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/
Emerging Non-Volatile Memory 2020 report by Yole DéveloppementYole Developpement
The stand-alone emerging NVM market keeps soaring, led by storage-class memory applications. Meanwhile, foundries are propelling the embedded business.
More info on: https://www.i-micronews.com/products/emerging-non-volatile-memory-2020/
(x)PU: High-End CPU and GPU for Datacenter Applications 2020 report by Yole D...Yole Developpement
High-Performance Computing and cloud gaming are setting the bar for leadership in the high-end CPU and GPU markets.
More info on: https://www.i-micronews.com/products/xpu-high-end-cpu-and-gpu-for-datacenter-applications-2020/
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
"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
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
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.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
"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.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
[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.
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/
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
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
16. 2018 could be the year when the uncooled infrared
imager and detector market reaches a tipping point
with the involvement of big companies. To name
a few:
• LG Innotek announced that it is promoting its
thermal imaging infrared camera module business.
This sounds exciting as LG is the leader for visible
camera modules and is Apple’s supplier.
• Amazon introduced 9 cashierless stores in 2018,
which include hundreds of cameras including
infrared sensors. 3,000 stores are expected by
2021.
• Following the success of the CATS60 smartphone,
Caterpillar launched the CATS61 with increased
functionality. In two years, it shipped more than
500,000 units of the CATS60.
Besides these companies, traditional uncooled
infrared players still continue to be very active in
terms of new products and technologies. Leonardo
DRS launched its TENUM™640 core, based on a
Wafer-Level-Packaged VOx microbolometer with
10μm x 10μm pixel size, making it the smallest
available anywhere. ULIS created a specific product
for smart building applications, called ThermEye,
and has been selected by Irlynx for smart building
projects. FLIR, the market leader, launched
many new products including the FLIR One Pro,
IntelliRock III and Saros Dome.
The uncooled infrared landscape has also been
shaped by the rapid growth of SEEK Thermal.
Having shipped more than 100,000 units in 2017,
SEEK Thermal seized a decent share of the 2017
microbolometer market. This new kid on the block
markets aggressively, and is trying to address as
many infrared applications as possible. 2017 saw 1.3
million microbolometers shipped in total. The top
three players were FLIR, with 66% market share,
followed by ULIS, with 13%, and SEEK, with 12%.
Infrared detectors are more conservative. Five
players continue to share almost 80% of the $252M
value market in 2017. Excelitas claims 43%, followed
by Nicera, with 17%, Murata, with 11%, Melexis,
with 7%, and Heimann, with 4%.
UNCOOLED INFRARED IMAGERS AND DETECTORS 2019
Market Technology report - January 2019
FROM AMAZON AND LG INNOTEK TO CATERPILLAR, THE INFRARED
SENSING MARKET IS ATTRACTING BIG NAMES!
New applications drive greater shipment volumes, which drive new applications, bringing the uncooled
IR sensing market into a virtuous cycle.
WHAT’S NEW
• Integration of the IR detector
market forecast
• Latest industry news
• Update on Chinese players
• Up-to-date analysis of 11 market
segments including thermography,
surveillance, automotive,
smartphones and personal vision
systems
• 2017-2018 estimates of sensor
manufacturers’ market shares and
how this will evolve
• Updated market forecasts in $ and
units for the 2017-2024 period
• Comparison between
microbolometers and other
uncooled IR technologies such
as pyroelectric detectors and
thermopiles connected to smart
buildings
• Update of latest technological
trends and ongoing developments
OBJECTIVES OF THE REPORT
• Market data on key uncooled
infrared detectors and imagers
market metrics and dynamics:
Pyroelectric and thermopile
detectors and uncooled infrared
imagers in units and revenue by
market segment
Uncooled infrared detector
and imager sales in units and
revenue by market segment
Market share for uncooled
infrared detectors and imagers
• Key technical insights into future
technology trends and challenges
• An in-depth understanding
of the IR imaging value chain,
infrastructure and players:
Who are the industrial IR
sensor players, including IDMs
and foundries, and what is their
market and technological position?
More generally, who are the key
players to watch and how will
the IR imaging market evolve?
• In depth analysis of uncooled IR
detectors and imagers commercial
and defense applications
(Yole Développement, January 2019)
ANNUAL MICROBOLOMETER SHIPMENTS WILL REACH TWO MILLION
UNITS IN TWO YEARS!
The uncooled IR detector and imager market
looks promising, with annual growth of 7% in value
over the 2018-2024 period. For microbolometers,
numerous commercial applications have driven
the imager market growth. These include
thermography, surveillance, personal vision
systems (PVS) and firefighting. Most noticeably,
shipments exceeded a million units in 2017, mostly
due to FLIR’s Lepton core and SEEK Thermal’s
success, heading to two million units in 2021!
Seek Shot (206 x 156) and
Seek ShotPro (320 x 240) by Seek Thermal
New ONE Pro LT by FLIR
Hercules 5 drone with FLIR Pensar
Atto320 by ULIS
Tenum core by DRS (VGA, 10 )
Vayu 1080P HD by Sierra-Olympic
(announced for 2019)
CATS61 by Caterpillar
ThermoGlass by Arsenz
Saros Dome from FLIR
IntelliRock III by FLIR
Ruggedized tablet FZ-M1
by Panasonic
Bricklet by Tinkerforge
ThermEye for smart
buildings by ULIS
New uncooled infrared products in 2018
17. UNCOOLED INFRARED IMAGERS AND DETECTORS 2019
Imager and detector market breakdown (in %) 2018-2024
(Yole Développement, January 2019)
Motion
Detection
39%
Low end
temperature
measurement
15%
Smart building
People
counting for
retail
13%
Others
(spectroscopy,
High-end temp
measurement)
8%
Others
(spectroscopy,
High-end temp
measurement)
4%
Gas fire
detection
9%
HVAC and other
medium arrays
16%
2018
Motion
Detection
21%
Low end
temperature
measurement
8%
Smart building
People counting for
retail
45%
Gas fire
detection
7%
HVAC and
other medium
arrays
15%
2024E
2018 2024E
Thermography
24%
Surveillance
14%
Firefighting
13%Personal Vision
Systems (PVS)
8%
Ruggedized
smartphones
5%
Military
32%
Others
(Automotive,
Maritime, etc)
4%
Thermography
24%
Surveillance
12%
Firefighting
9%
Personal Vision
Systems (PVS)
9%
Ruggedized
smartphones
7%
Military
34%
Others
(Automotive,
Maritime, etc)
5%
IMAGERS
DETECTORS
CAN IR IMAGING COUPLED TO VISIBLE IMAGERS AND RADARS BE AN ALTERNA-
TIVE TO LIDAR?
IMAGING IS NICE BUT DETECTION CAN ALSO DO THE JOB!
In our report, we cover both detectors and imagers,
including pyroelectric sensors, thermopiles and
microbolometers, from single pixel detectors to
XVGA imagers. We define the limit between detecting
and imaging around 80 pixel x 80 pixel resolution.
The detector market, including pyroelectric sensors
and thermopiles, will have a 15% CAGR in value and
6% CAGR in units for 2018-2024. This is a mature
market where applications like motion detection,
temperature measurement, gas and fire detection are
driving unit growth in the 5-10% CAGR2018-2024
range.
Buildings and retail applications are driving the current
demand. Heating, ventilation and air conditioning
applications are forecasted to 15% unit CAGR2018-
2024
. The demand comes from monitoring office and
commercial buildings’ power consumption. People
counting in retail will show 30% unit CAGR2018-2024
for uses including queue management, door access
control in buildings/stores, elevators and people
counting for marketing. Smart building applications
concern commercial/tertiary buildings that include IT
infrastructure and sensors for monitoring parameters
such as humidity, temperature and people’s presence.
The information is primarily used for energy saving but
also for security. We forecast 60% CAGR2018-2024
in
shipment volumes for smart buildings.
The uncooled IR imager business is still driven
by commercial markets, which will continue to
expand quickly, with a compound annual growth
rate (CAGR2018-2024
) of 15.8% in shipment volumes.
These markets will represent 93% of all shipments by
2024. Thermography will have a 9% shipment volume
CAGR2018-2024
. This application is a sure thing for the
microbolometermarket,withIRimagersusedherefor
industrial and commercial applications including home
diagnosis and hot spot identification. Firefighting is an
attractive opportunity with 20% shipment volume
CAGR2018-2024
. There is a very large potential market,
with 37 million firefighters worldwide. PVS include
portable binoculars, monoculars and sights for rifles.
They are used in patrolling borders, law enforcement
and increasingly for consumer outdoor use, including
mountain sports and hunting. This market has been
a big surprise and a large contributor to the global
infrared market, expected to reach 30% annual unit
growth between 2018-2024. The USA is the largest
market by far because of its large hunting and law
enforcement markets.
Among other applications, smart buildings and
robotic vehicles are noteworthy. Driven by the
desire for better energy control, smart buildings are
a promising application with 75% shipment volume
CAGR2018-2024
. However, this is in direct competition
with IR detectors and 24GHz radars, which are less
expensive.
For years, the volumes of IR sensors for night vision
systems for cars has been around 100,000 units. But
now Uber’s lethal accident has raised the question of
whether night vision for autonomous driving would
have prevented it. For autonomous and robotic cars,
current vision systems use a combination of visible
18. MARKET TECHNOLOGY REPORT
COMPANIES CITED IN THE REPORT (non exhaustive list)
3M Scott, BAE, Bosch, Caterpillar, Cypress, Dali, DRS, Excelitas, FLIR, Fluke, GuideIR,
GWIC, Heimann Sensors, i3systems, iRay Technologies, Irisys, Irlynx, L3 Technologies, LG
Innotek, Magnity, Melexis, Murata, NEC, Nicera, NXP, Omron, ON Semi, Opgal, Ophir,
Pyreos, Raytheon, SCD, Schneider Electric, Schott, Seek, Teledyne Dalsa, Testo, TowerJazz,
ULIS, Umicore… and many more.
Find more
details about
this report here:
RELATED REPORTS
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light, LiDAR and radar, and can provide information
about a vehicle’s surroundings. However, these
systems are limited by certain factors, such as
available light. The ability to distinguish between
different types of objects, e.g. between humans and
inanimate objects, is also limited. Thermal imaging
systems could sense, detect and identify obstacles,
even at distances in the kilometer range and in
poor visibility. We believe robotic cars will be first
on the market. This type of car is expensive and can
afford to have a high budget for sensory capability.
They will be on the road before cars for human
drivers with autonomy levels 4 and 5. Robotic
cars could adopt microbolometers, followed by
autonomous vehicles for high autonomy levels.
We forecast more than 500,000 shipments for
microbolometers in 2024 for robotic cars.
• Status of the CMOS Image Sensor Industry
2018
• Seek Thermal Infrared Camera Raytheon IR
Microbolometer
Find all our reports
on www.i-micronews.com
With almost 20 years
of experience in MEMS,
Sensors and Photonics
applications, markets, and technology
analyses, Eric Mounier, PhD provides
deep industry insight into current and
future trends. As a Fellow Analyst,
Technology Market, MEMS Photonics,
in the Photonics, Sensing Display
division, he is a daily contributor to the
development of MEMS and Photonics
activities at Yole Développement (Yole),
with a large collection of market and
technology reports as well as multiple
custom consulting projects: business
strategy, identification of investments or
acquisition targets, due diligences (buy/sell
side), market and technology analysis, cost
modelling, technology scouting, etc.
Previously, Eric Mounier held RD and
Marketing positions at CEA Leti (France).
He has spoken in numerous international
conferences and has authored or co-
authored more than 100 papers.
Eric has a Semiconductor Engineering
Degree and a Ph.-D in Optoelectronics
from the National Polytechnic Institute of
Grenoble (France).
AUTHORS
Dimitrios Damianos,
PhD joined Yole
Développement (Yole)
as a Technology and Market Analyst and is
working within the Photonics, Sensing
Display division. Dimitrios is daily working
with his team to deliver valuable technology
market reports regarding the imaging
industry including photonics sensors. After
his research on theoretical and experimental
quantum optics and laser light generation,
Dimitrios pursued a Ph.D. in optical and
electrical characterization of dielectric
materials on silicon with applications in
photovoltaics and image sensors, as well
as SOI for microelectronics at Grenoble’s
university (France). In addition, Dimitrios
holds a MSc degree in Photonics from the
University of Patras (Greece). He has also
authored and co-authored several scientific
papers in international peer-reviewed
journals.
Glossary and definitions 2
Table of contents 3
Report objectives 4
Report scope 5
Methodology 6
The authors 8
List of companies 9
What we got right/What we
got wrong 10
Executive summary 12
Context 30
Market forecasts 46
Detectors
Imagers
Market trends 89
Detectors
Imagers
Supply chain 110
Technology trends 137
Prospects 151
Company profiles 154
TABLE OF CONTENTS (complete content on i-Micronews.com)
Sensors in autonomous cars - Technology roadmap
(Yole Développement, January 2019)
2010 2015 2020 2025 2030 2035
20
Number of sensors
2040
10
15
5
25
LRR
Long-range camera x2
Ultrasonic x4
SRR x6
LRR
Surround camera x3
Surround camera
Surround camera
Stereo camera
Stereo camera
Stereo camera
Microbolometer
LIDAR
Dead reckoning
sensors
Long-range camera x2
Night vision
penetration
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