This document discusses the development of a high-speed single-photon camera. It motivates the need for cameras with both extreme sensitivity and high speeds to enable applications like fluorescence correlation spectroscopy (FCS). The camera uses an array of single-photon avalanche diode (SPAD) detectors integrated on a CMOS chip. Each pixel contains circuitry to independently count and time photons with microsecond resolution at frame rates over 100,000 frames per second. The camera has been used for applications demonstrating sub-Rayleigh imaging and high-throughput FCS.
This document discusses approaches to network automation, including DIY, DevOps, and turnkey approaches. The DIY approach involves using SDKs and APIs to customize control planes and integrate with switches. The DevOps approach leverages tools like Ansible, Chef, and Puppet for continuous integration, testing, and deployment. The turnkey approach provides an out-of-the-box network automation platform for orchestration, provisioning, telemetry, and other capabilities. OpenConfig is presented as a way to standardize network automation across different vendors.
Vehicle to Vehicle Communication using Bluetooth and GPS.Mayur Wadekar
This document is a project report on vehicle to vehicle wireless communication using Bluetooth and GPS. It describes a system developed by four students to enable vehicles to share location data with each other using onboard GPS receivers and Bluetooth transmitters. The system aims to improve road safety by allowing vehicles to be aware of other nearby vehicles' positions. The report outlines the objectives, methodology, system components, implementation, performance analysis and applications of the proposed vehicle communication system.
Tutorial at IEEE IM 2019.
The tutorial will provide a comprehensive coverage of the Network Automation domain starting with the scope and definitions, introducing the challenges and then developing the different approaches to realize complete future network automation solutions. A special focus will be put on the newly created ETSI ISG ZSM "Zero Touch Network and Service Management" and the standardization landscape.
Solar Energy Analytics Using Internet of ThingsAMOGHA A K
*Extracting usable electricity from sun.
*Conversion of light energy into DC.
*Used in remote areas as placement of electric lines are not viable.
*Solar based system connected to IoT.
*Easy access of data.
toyota-Challenges towards New Software Platform for Automated Driving.pdfxmumiao
The document discusses challenges in developing new software platforms for automated driving and high computational ECUs. It summarizes Toyota's evolution of their E/E architecture and use of AUTOSAR software platforms. For future systems like automated driving, a central and zone-based architecture is proposed to improve efficiency. Virtual technologies will be important for verifying these complex systems, and software platforms will need to support consistent functionality across development environments and mass production hardware. Collaboration between automakers and suppliers will also be key.
FPGA Hardware Accelerator for Machine Learning
Machine learning publications and models are growing exponentially, outpacing Moore's law. Hardware acceleration using FPGAs, GPUs, and ASICs can provide performance gains over CPU-only implementations for machine learning workloads. FPGAs allow for reprogramming after manufacturing and can accelerate parts of machine learning algorithms through customized hardware while sharing computations between the FPGA and CPU. Vitis AI is a software stack that optimizes machine learning models for deployment on Xilinx FPGAs, providing pre-optimized models, tools for optimization and quantization, and high-level APIs.
The document proposes a scalable AI accelerator ASIC platform for edge AI processing. It describes a high-level architecture based on a scalable AI compute fabric that allows for fast learning and inference. The architecture is flexible and can scale from single-chip solutions to multi-chip solutions connected via high-speed interfaces. It also provides details on the AI compute fabric, processing elements, and how the platform could enable high-performance edge AI processing.
LUCID Vision Labs -All-in-One Industrial Edge Computing with the Triton Edge ...ClearView Imaging
Industrial camera manufacturers are constantly challenged to design smaller and more power efficient products, and at the same time increase their overall performance.
Cameras have become smarter offering machine learning capabilities to deploy trained machine learning models in order to automatically classify, detect, or segment features of
objects faster and more accurately than humans can. LUCID’s Triton Edge camera featuring Xilinx’s Zynq UltraScale+™ MPSoC provides a new level of on-camera performance and flexibility without sacrificing power efficiency, sensor performance, or
camera size. Learn about how you can jump start your vision application by reducing overall size, cutting manufacturing costs, and saving development time, while providing more value to your end-users.
This document discusses approaches to network automation, including DIY, DevOps, and turnkey approaches. The DIY approach involves using SDKs and APIs to customize control planes and integrate with switches. The DevOps approach leverages tools like Ansible, Chef, and Puppet for continuous integration, testing, and deployment. The turnkey approach provides an out-of-the-box network automation platform for orchestration, provisioning, telemetry, and other capabilities. OpenConfig is presented as a way to standardize network automation across different vendors.
Vehicle to Vehicle Communication using Bluetooth and GPS.Mayur Wadekar
This document is a project report on vehicle to vehicle wireless communication using Bluetooth and GPS. It describes a system developed by four students to enable vehicles to share location data with each other using onboard GPS receivers and Bluetooth transmitters. The system aims to improve road safety by allowing vehicles to be aware of other nearby vehicles' positions. The report outlines the objectives, methodology, system components, implementation, performance analysis and applications of the proposed vehicle communication system.
Tutorial at IEEE IM 2019.
The tutorial will provide a comprehensive coverage of the Network Automation domain starting with the scope and definitions, introducing the challenges and then developing the different approaches to realize complete future network automation solutions. A special focus will be put on the newly created ETSI ISG ZSM "Zero Touch Network and Service Management" and the standardization landscape.
Solar Energy Analytics Using Internet of ThingsAMOGHA A K
*Extracting usable electricity from sun.
*Conversion of light energy into DC.
*Used in remote areas as placement of electric lines are not viable.
*Solar based system connected to IoT.
*Easy access of data.
toyota-Challenges towards New Software Platform for Automated Driving.pdfxmumiao
The document discusses challenges in developing new software platforms for automated driving and high computational ECUs. It summarizes Toyota's evolution of their E/E architecture and use of AUTOSAR software platforms. For future systems like automated driving, a central and zone-based architecture is proposed to improve efficiency. Virtual technologies will be important for verifying these complex systems, and software platforms will need to support consistent functionality across development environments and mass production hardware. Collaboration between automakers and suppliers will also be key.
FPGA Hardware Accelerator for Machine Learning
Machine learning publications and models are growing exponentially, outpacing Moore's law. Hardware acceleration using FPGAs, GPUs, and ASICs can provide performance gains over CPU-only implementations for machine learning workloads. FPGAs allow for reprogramming after manufacturing and can accelerate parts of machine learning algorithms through customized hardware while sharing computations between the FPGA and CPU. Vitis AI is a software stack that optimizes machine learning models for deployment on Xilinx FPGAs, providing pre-optimized models, tools for optimization and quantization, and high-level APIs.
The document proposes a scalable AI accelerator ASIC platform for edge AI processing. It describes a high-level architecture based on a scalable AI compute fabric that allows for fast learning and inference. The architecture is flexible and can scale from single-chip solutions to multi-chip solutions connected via high-speed interfaces. It also provides details on the AI compute fabric, processing elements, and how the platform could enable high-performance edge AI processing.
LUCID Vision Labs -All-in-One Industrial Edge Computing with the Triton Edge ...ClearView Imaging
Industrial camera manufacturers are constantly challenged to design smaller and more power efficient products, and at the same time increase their overall performance.
Cameras have become smarter offering machine learning capabilities to deploy trained machine learning models in order to automatically classify, detect, or segment features of
objects faster and more accurately than humans can. LUCID’s Triton Edge camera featuring Xilinx’s Zynq UltraScale+™ MPSoC provides a new level of on-camera performance and flexibility without sacrificing power efficiency, sensor performance, or
camera size. Learn about how you can jump start your vision application by reducing overall size, cutting manufacturing costs, and saving development time, while providing more value to your end-users.
rfid based traffic control system by using gsmramesh chatty
This document describes an RFID-based traffic control system using GSM. The major components of the system include a power supply, microcontroller, RFID tags and readers, and a GSM modem. RFID tags are attached to vehicles. When a vehicle passes an RFID reader near a traffic signal, the vehicle's information is sent via GSM modem to a control room. This system aims to help manage traffic and detect violations. Potential applications include congestion monitoring, intelligent traffic lights, and public parking management.
Residual neural networks (ResNets) solve the vanishing gradient problem through shortcut connections that allow gradients to flow directly through the network. The ResNet architecture consists of repeating blocks with convolutional layers and shortcut connections. These connections perform identity mappings and add the outputs of the convolutional layers to the shortcut connection. This helps networks converge earlier and increases accuracy. Variants include basic blocks with two convolutional layers and bottleneck blocks with three layers. Parameters like number of layers affect ResNet performance, with deeper networks showing improved accuracy. YOLO is a variant that replaces the softmax layer with a 1x1 convolutional layer and logistic function for multi-label classification.
This document presents a thesis on using YOLO v5 for real-time object detection of potholes, speed breakers, and vehicles. It discusses the objectives, methodology, and implementation of training a YOLO v5 model. The methodology section outlines the steps for preparing the dataset, environment setup, model training, inference on test images, and result visualization. The results section shows various performance metrics and detected objects on test images. It concludes the proposed method provides a preliminary solution for road object detection to help road maintenance agencies and drivers.
Role of OpManager in event and fault managementManageEngine
Managing Event and Fault are not new to any IT managers. However if not implemented properly, this could be the most daunting of network monitoring and network management tasks.
Check out this presentation, to understand
# The basics of Event and Fault Management &
# How ManageEngine OpManager helps in effective Fault Management
For more information on NPM, visit: http://www.solarwinds.com/network-performance-monitor.aspx
Watch this webcast: http://www.solarwinds.com/resources/webcasts/monitoring-wan-performance-with-cisco-ip-sla.html
The foundation of things our Head Geek learned back in the US Air Force basic training are a large part of what's made him successful as a professional today. In this webcast, our Head Geek puts on his drill sergeant's hat and discusses the basics that every network engineer, server chick, network manager, or IT dude should know about managing networks. This is a no-frills webcast where we focus on the fundamentals. Some of the things that we'll cover are:
• Assessing your current capabilities
• Prioritizing your needs
• Baselines
• Fundamental technologies No matter where you are in your career, you don't want to miss this session!
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
NVIDIA vGPU - Introduction to NVIDIA Virtual GPULee Bushen
Lee Bushen, Senior Solutions Architect at NVIDIA covers the basics of NVIDIA Virtual GPU.
- Why vGPU?
- How does it work?
- What are the main considerations for VDI?
- Which GPU is right for me?
- Which License do I need?
Red Bend Software: Optimizing the User Experience with Over-the-Air UpdatesRed Bend Software
This document discusses best practices for optimizing the user experience with over-the-air (OTA) updates. It outlines Red Bend's OTA updating service, including planning an OTA system, testing updates, operating update campaigns, and measuring the impact of OTA updates. Red Bend has delivered over 1.75 billion OTA updates across many brands and can help OEMs provide reliable, easy-to-use OTA updating as a cloud-based software as a service.
Since its inception 50 years ago, closed-circuit television (CCTV) has evolved from resource-consuming, 24/7 manual monitoring to state-of-the-art Internet Protocol (IP) network cameras capturing and transmitting real-time audio and video to users' private monitors and smartphones.
This document describes the design of a smart street light system that uses sensors and a microcontroller to automatically control street lights. The system aims to reduce energy waste by switching lights on only when motion is detected and adjusting brightness based on sunlight levels. Key components include infrared and proximity sensors to detect vehicles, an Arduino microcontroller to control the lights, and a light dependent resistor to measure sunlight intensity and determine when to turn lights on or off. The document outlines the problem, objectives, design constraints, system features and components.
- FPD-Link III is a serializer/deserializer interface solution from National Semiconductor that enables high-speed video transport throughout vehicles for infotainment and driver assist applications like camera interfaces.
- It provides a high-speed forward channel and low-speed bidirectional control channel on a single differential pair, replacing multiple interfaces and wires.
- National Semiconductor's proprietary technology allows for real-time bidirectional control without restrictions, improving on alternatives that only allow control during blanking intervals.
RISC-V & SoC Architectural Exploration for AI and ML AcceleratorsRISC-V International
This document discusses architectural exploration for AI and ML accelerators using simulation tools. It notes that current AI/ML applications require custom hardware configurations to achieve performance goals. The Imperas simulation tools allow analyzing performance on different hardware designs by running software on virtual platforms months before RTL implementation. Imperas provides virtual platforms for heterogeneous systems running full operating systems along with detailed analysis, profiling and debugging tools. It also includes a RISC-V reference model that enables developing custom instructions for architectural exploration of AI/ML accelerators.
Yole Intel RealSense 3D camera module and STM IR laser 2015 teardown reverse ...Yole Developpement
INNOVATIVE 3D CAMERA FOR FACIAL ANALYSIS AND HAND/FINGER TRACKING, BASED ON RESONANT MICRO-MIRROR, IR LASER, VISIBLE AND NEAR INFRARED IMAGE SENSORS.
Intel RealSense is an intelligent 3D camera equipped with a system of three components: a conventional camera, a near infrared image sensor and an infrared laser projector. Infrared parts are used to calculate the distance between objects, but also to separate objects on different planes. They serve for facial recognition as well as gestures tracking.
The Intel 3D camera can scan the environment from 0.2m to 1.2m. The fixed-focal length camera will support up to 1080p @30FPS capture in RGB with a 77° FOV. Its lens has a built in IR cut filter. The 640x480 pixel VGA camera has a frame rate up to 60fps with a 90° FOV, moreover its lens has an IR Band Pass filter.
More information on that report at http://www.i-micronews.com/reports.html
Jetson AGX Xavier and the New Era of Autonomous MachinesDustin Franklin
Deep-dive on NVIDIA Jetson AGX Xavier, designed to help you deploy advanced AI onboard robots, drones, and other autonomous machines. View the webinar here: https://bit.ly/2BWVWv1
Feature Matching using SIFT algorithm; co-authored presentation on Photogrammetry studio by Sajid Pareeth, Gabriel Vincent Sanya, Sonam Tashi and Michael Mutale
Video Classification: Human Action Recognition on HMDB-51 datasetGiorgio Carbone
Two-stream CNNs for video action recognition using Stacked Optical Flow, implemented in Keras, on HMDB-51 dataset.
We use spatial (ResNet-50 finetuned) and temporal stream cnn (stacked Optical Flows) under the Keras framework to perform Video-Based Human Action Recognition on HMDB-51 dataset.
Innovative Solutions for Cloud Gaming, Media, Transcoding, & AI InferencingRebekah Rodriguez
Supermicro and Intel® product and solution experts will discuss, in an informal session, the benefits of the solutions in the areas of Cloud Gaming, Media Delivery, Transcoding, and AI Inferencing using the recently announced Intel Flex Series GPUs. The webinar will explain the advantages of the Supermicro solutions, the ideal servers and the benefits of using the Intel® Data Center GPU Flex Series (codenamed Arctic Sound-M).
Building on TAP sync resiliency for the cloud Adtran
This document discusses software synchronization techniques for cloud and telecom applications. It outlines trends driving more software-based synchronization, including miniaturization, consolidation, and scalability. It then examines the Time Appliance Project (TAP) and Open RAN architectures as examples where software synchronization could provide accurate timing to virtualized applications over standard server hardware. Specific techniques presented include using a software PTP client called SoftSync, hardware timestamping NICs, and precision time measurement over PCIe to synchronize virtualized applications with sub-microsecond accuracy. The document concludes that while dedicated hardware provides the highest accuracy for critical applications, software synchronization is suitable today for applications like TAP and O-RAN using standard servers, and precision time measurement over
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/nxp/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-roy
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the "Understanding Automotive Radar: Present and Future," tutorial at the May 2018 Embedded Vision Summit.
Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing technology for autonomous vehicles not only for its range finding ability, but also because it can be used to determine target velocity and target angle. In this tutorial, Roy introduces the basic principles of operation of a radar system, highlighting its main parameters and comparing radar with computer vision and other types of sensors typically found in ADAS and autonomous vehicles.
After examining the features and the limitations of current automotive radar systems, Roy discusses how automotive radar is evolving, particularly in light of safety performance assessment programs such as the European New Car Assessment Programme (eNCAP). He concludes with a discussion of how radar systems may compete with or complement vision-based sensors in future ADAS-equipped and autonomous vehicles.
Automotive Diagnostics Communication Protocols AnalysisKWP2000, CAN, and UDSIOSR Journals
This document provides an overview of several automotive diagnostic communication protocols: KWP2000, CAN, and UDS. It first introduces automotive diagnostic systems and their uses in vehicle development, manufacturing, and after-sales services. It then describes three main diagnostic protocols - KWP2000, diagnostics over CAN, and UDS - and compares their characteristics. The document also discusses automotive network architectures and topologies, the role of electronic control units, international diagnostic standards, and how on-board diagnostic communication systems connect to vehicles.
This document discusses light microscopy detectors. It compares different types of detectors including PMTs, APDs, CCDs, and CMOS, noting their strengths and weaknesses in terms of speed, noise levels, resolution, and other factors. It focuses on how detectors can be optimized for sensitivity, discussing parameters like quantum efficiency and noise floor. Specific detector technologies are examined in more detail, such as EMCCDs and scientific CMOS cameras, comparing their performance and applications in areas like single molecule detection and live cell imaging.
rfid based traffic control system by using gsmramesh chatty
This document describes an RFID-based traffic control system using GSM. The major components of the system include a power supply, microcontroller, RFID tags and readers, and a GSM modem. RFID tags are attached to vehicles. When a vehicle passes an RFID reader near a traffic signal, the vehicle's information is sent via GSM modem to a control room. This system aims to help manage traffic and detect violations. Potential applications include congestion monitoring, intelligent traffic lights, and public parking management.
Residual neural networks (ResNets) solve the vanishing gradient problem through shortcut connections that allow gradients to flow directly through the network. The ResNet architecture consists of repeating blocks with convolutional layers and shortcut connections. These connections perform identity mappings and add the outputs of the convolutional layers to the shortcut connection. This helps networks converge earlier and increases accuracy. Variants include basic blocks with two convolutional layers and bottleneck blocks with three layers. Parameters like number of layers affect ResNet performance, with deeper networks showing improved accuracy. YOLO is a variant that replaces the softmax layer with a 1x1 convolutional layer and logistic function for multi-label classification.
This document presents a thesis on using YOLO v5 for real-time object detection of potholes, speed breakers, and vehicles. It discusses the objectives, methodology, and implementation of training a YOLO v5 model. The methodology section outlines the steps for preparing the dataset, environment setup, model training, inference on test images, and result visualization. The results section shows various performance metrics and detected objects on test images. It concludes the proposed method provides a preliminary solution for road object detection to help road maintenance agencies and drivers.
Role of OpManager in event and fault managementManageEngine
Managing Event and Fault are not new to any IT managers. However if not implemented properly, this could be the most daunting of network monitoring and network management tasks.
Check out this presentation, to understand
# The basics of Event and Fault Management &
# How ManageEngine OpManager helps in effective Fault Management
For more information on NPM, visit: http://www.solarwinds.com/network-performance-monitor.aspx
Watch this webcast: http://www.solarwinds.com/resources/webcasts/monitoring-wan-performance-with-cisco-ip-sla.html
The foundation of things our Head Geek learned back in the US Air Force basic training are a large part of what's made him successful as a professional today. In this webcast, our Head Geek puts on his drill sergeant's hat and discusses the basics that every network engineer, server chick, network manager, or IT dude should know about managing networks. This is a no-frills webcast where we focus on the fundamentals. Some of the things that we'll cover are:
• Assessing your current capabilities
• Prioritizing your needs
• Baselines
• Fundamental technologies No matter where you are in your career, you don't want to miss this session!
AI firsts: Leading from research to proof-of-conceptQualcomm Research
AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers:
The challenges of deploying cutting-edge research on real-world mobile devices
How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization
Examples where Qualcomm AI Research has had industrial or academic firsts
NVIDIA vGPU - Introduction to NVIDIA Virtual GPULee Bushen
Lee Bushen, Senior Solutions Architect at NVIDIA covers the basics of NVIDIA Virtual GPU.
- Why vGPU?
- How does it work?
- What are the main considerations for VDI?
- Which GPU is right for me?
- Which License do I need?
Red Bend Software: Optimizing the User Experience with Over-the-Air UpdatesRed Bend Software
This document discusses best practices for optimizing the user experience with over-the-air (OTA) updates. It outlines Red Bend's OTA updating service, including planning an OTA system, testing updates, operating update campaigns, and measuring the impact of OTA updates. Red Bend has delivered over 1.75 billion OTA updates across many brands and can help OEMs provide reliable, easy-to-use OTA updating as a cloud-based software as a service.
Since its inception 50 years ago, closed-circuit television (CCTV) has evolved from resource-consuming, 24/7 manual monitoring to state-of-the-art Internet Protocol (IP) network cameras capturing and transmitting real-time audio and video to users' private monitors and smartphones.
This document describes the design of a smart street light system that uses sensors and a microcontroller to automatically control street lights. The system aims to reduce energy waste by switching lights on only when motion is detected and adjusting brightness based on sunlight levels. Key components include infrared and proximity sensors to detect vehicles, an Arduino microcontroller to control the lights, and a light dependent resistor to measure sunlight intensity and determine when to turn lights on or off. The document outlines the problem, objectives, design constraints, system features and components.
- FPD-Link III is a serializer/deserializer interface solution from National Semiconductor that enables high-speed video transport throughout vehicles for infotainment and driver assist applications like camera interfaces.
- It provides a high-speed forward channel and low-speed bidirectional control channel on a single differential pair, replacing multiple interfaces and wires.
- National Semiconductor's proprietary technology allows for real-time bidirectional control without restrictions, improving on alternatives that only allow control during blanking intervals.
RISC-V & SoC Architectural Exploration for AI and ML AcceleratorsRISC-V International
This document discusses architectural exploration for AI and ML accelerators using simulation tools. It notes that current AI/ML applications require custom hardware configurations to achieve performance goals. The Imperas simulation tools allow analyzing performance on different hardware designs by running software on virtual platforms months before RTL implementation. Imperas provides virtual platforms for heterogeneous systems running full operating systems along with detailed analysis, profiling and debugging tools. It also includes a RISC-V reference model that enables developing custom instructions for architectural exploration of AI/ML accelerators.
Yole Intel RealSense 3D camera module and STM IR laser 2015 teardown reverse ...Yole Developpement
INNOVATIVE 3D CAMERA FOR FACIAL ANALYSIS AND HAND/FINGER TRACKING, BASED ON RESONANT MICRO-MIRROR, IR LASER, VISIBLE AND NEAR INFRARED IMAGE SENSORS.
Intel RealSense is an intelligent 3D camera equipped with a system of three components: a conventional camera, a near infrared image sensor and an infrared laser projector. Infrared parts are used to calculate the distance between objects, but also to separate objects on different planes. They serve for facial recognition as well as gestures tracking.
The Intel 3D camera can scan the environment from 0.2m to 1.2m. The fixed-focal length camera will support up to 1080p @30FPS capture in RGB with a 77° FOV. Its lens has a built in IR cut filter. The 640x480 pixel VGA camera has a frame rate up to 60fps with a 90° FOV, moreover its lens has an IR Band Pass filter.
More information on that report at http://www.i-micronews.com/reports.html
Jetson AGX Xavier and the New Era of Autonomous MachinesDustin Franklin
Deep-dive on NVIDIA Jetson AGX Xavier, designed to help you deploy advanced AI onboard robots, drones, and other autonomous machines. View the webinar here: https://bit.ly/2BWVWv1
Feature Matching using SIFT algorithm; co-authored presentation on Photogrammetry studio by Sajid Pareeth, Gabriel Vincent Sanya, Sonam Tashi and Michael Mutale
Video Classification: Human Action Recognition on HMDB-51 datasetGiorgio Carbone
Two-stream CNNs for video action recognition using Stacked Optical Flow, implemented in Keras, on HMDB-51 dataset.
We use spatial (ResNet-50 finetuned) and temporal stream cnn (stacked Optical Flows) under the Keras framework to perform Video-Based Human Action Recognition on HMDB-51 dataset.
Innovative Solutions for Cloud Gaming, Media, Transcoding, & AI InferencingRebekah Rodriguez
Supermicro and Intel® product and solution experts will discuss, in an informal session, the benefits of the solutions in the areas of Cloud Gaming, Media Delivery, Transcoding, and AI Inferencing using the recently announced Intel Flex Series GPUs. The webinar will explain the advantages of the Supermicro solutions, the ideal servers and the benefits of using the Intel® Data Center GPU Flex Series (codenamed Arctic Sound-M).
Building on TAP sync resiliency for the cloud Adtran
This document discusses software synchronization techniques for cloud and telecom applications. It outlines trends driving more software-based synchronization, including miniaturization, consolidation, and scalability. It then examines the Time Appliance Project (TAP) and Open RAN architectures as examples where software synchronization could provide accurate timing to virtualized applications over standard server hardware. Specific techniques presented include using a software PTP client called SoftSync, hardware timestamping NICs, and precision time measurement over PCIe to synchronize virtualized applications with sub-microsecond accuracy. The document concludes that while dedicated hardware provides the highest accuracy for critical applications, software synchronization is suitable today for applications like TAP and O-RAN using standard servers, and precision time measurement over
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/nxp/embedded-vision-training/videos/pages/may-2018-embedded-vision-summit-roy
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the "Understanding Automotive Radar: Present and Future," tutorial at the May 2018 Embedded Vision Summit.
Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing technology for autonomous vehicles not only for its range finding ability, but also because it can be used to determine target velocity and target angle. In this tutorial, Roy introduces the basic principles of operation of a radar system, highlighting its main parameters and comparing radar with computer vision and other types of sensors typically found in ADAS and autonomous vehicles.
After examining the features and the limitations of current automotive radar systems, Roy discusses how automotive radar is evolving, particularly in light of safety performance assessment programs such as the European New Car Assessment Programme (eNCAP). He concludes with a discussion of how radar systems may compete with or complement vision-based sensors in future ADAS-equipped and autonomous vehicles.
Automotive Diagnostics Communication Protocols AnalysisKWP2000, CAN, and UDSIOSR Journals
This document provides an overview of several automotive diagnostic communication protocols: KWP2000, CAN, and UDS. It first introduces automotive diagnostic systems and their uses in vehicle development, manufacturing, and after-sales services. It then describes three main diagnostic protocols - KWP2000, diagnostics over CAN, and UDS - and compares their characteristics. The document also discusses automotive network architectures and topologies, the role of electronic control units, international diagnostic standards, and how on-board diagnostic communication systems connect to vehicles.
This document discusses light microscopy detectors. It compares different types of detectors including PMTs, APDs, CCDs, and CMOS, noting their strengths and weaknesses in terms of speed, noise levels, resolution, and other factors. It focuses on how detectors can be optimized for sensitivity, discussing parameters like quantum efficiency and noise floor. Specific detector technologies are examined in more detail, such as EMCCDs and scientific CMOS cameras, comparing their performance and applications in areas like single molecule detection and live cell imaging.
compiter radiography and digital radiography Unaiz Musthafa
This document discusses computed radiography (CR) and digital radiography (DR). CR uses reusable imaging plates instead of film, which are read by a laser scanner. DR uses a digital detector incorporated into x-ray equipment to provide direct digital output. Both have greater exposure latitude than screen-film and allow computer post-processing to enhance images. Technologists must monitor exposure indices to avoid overexposure with CR and DR systems. The document also covers digital fluoroscopy techniques like frame averaging.
Keywords: Signal processing, Applied optics, Computer graphics and vision, Electronics, Art, and Online photo collections
A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes.
We will learn about the complete camera pipeline. In several hands-on projects we will build several physical imaging prototypes and understand how each stage of the imaging process can be manipulated.
We will learn about modern methods for capturing and sharing visual information. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded -- beyond those present in traditional protographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.
In this couse we will study this emerging multi-disciplinary field -- one which is at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. We will examine whether such innovative camera-like sensors can overcome the tough problems in scene understanding and generate insightful awareness. In addition, we will develop new algorithms to exploit unusual optics, programmable wavelength control, and femto-second accurate photon counting to decompose the sensed values into perceptually critical elements.
1. Ramesh Raskar is an associate professor at the MIT Media Lab researching computational photography.
2. Raskar discusses three levels of computational photography - epsilon, coded, and essence photography. Coded photography uses single or few snapshots but introduces reversible encoding of light through techniques like coded exposure and coded apertures.
3. Examples of coded photography techniques presented include flutter shutter motion deblurring, coded aperture defocus, optical heterodyning for lightfield or wavefront sensing, and using a coded glare mask. The goal is to create new imaging capabilities beyond what is possible with traditional cameras.
We propose a flexible light field camera architecture that is at the convergence of optics, sensor electronics, and applied mathematics. Through the co-design of a sensor that comprises tailored, Angle Sensitive Pixels and advanced reconstruction algorithms, we show that—contrary to light field cameras today—our system can use the same measurements captured in a single sensor image to recover either a high-resolution 2D image, a low-resolution 4D light field using fast, linear processing, or a high-resolution light field using sparsity-constrained optimization.
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High-Speed Single-Photon SPAD Camera
1. “Say cheese....”
High-Speed Single-Photon Camera
Fabrizio Guerrieri
Advisor: Prof. Franco Zappa
Co-advisor: Dr. Simone Tisa
Tutor: Prof. Angelo Geraci
2. “Say cheese....”
What am I going to talk about?
MOTIVATIONS THE MAKING OF FROM THE DEVICE...
& IDEAS THE SPAD CAMERA ... TO THE APPLICATIONS (3)
3. MOTIVATIONS
Demanding imaging applications require
Extreme sensitivity AND high-speed
4. MOTIVATIONS
Demanding imaging applications require
Extreme sensitivity AND high-speed
HIGH-SENSITIVITY
HIGH-SPEED
EM-CCD
EB-CCD
I-CCD
RR AYS
PA DA
S
CMOS APS
Standard
CCD
5. IMAGER SPECIFICATIONS
REQUIREMENT PROPOSED SOLUTION RISK
Single-Photon sensitivity SPAD detector
High-speed
Completely independent pixels
( > 10 kframe/s )
High pixel number > 100
Compactness Use of HV-CMOS compatible tech
Additional features Global shutter, programmability...
Increasing risk:
6. SPAD ARRAYS
HIGH PERFORMANCE ARRAY
• Large pixel diameter
• Moderate number of pixels
• Limited by the ext. Electronics
CUSTOM TECH
DENSE ARRAY
• Small pixel diameter
• Large number of pixels
• Possibility of smart pixels
STANDARD CMOS TECH
14. SPAD ARRAYS
VLQC SMART PIXEL
LINEAR 32x1 ARRAY 32x32 SPAD IMAGER
32 counting and timing channels 1,024 parallel counting channels
Single-photon sensitivity Single-photon sensitivity
Up to 312.5 kframe/s Up to 100 kframe/s
15. SPAD IMAGER
• 1024 parallel channels • Programmable to read-out any pixel sub-
• Global shutter portion to increase max frame-rate
• Up to 100 kframe/s
25. SUB-RAYLEIGH IMAGING @ MIT
Good optics Bad optics Bad optics
+ + +
Conventional imaging Conventional imaging Sub-Rayleigh imaging
Imaging beyond the Rayleigh limit is possible by
•Scanning the object by a focused light spot
•Employing N-Photon detection strategy
Improvement goes as about the square root of N
26. HIGH THROUGHPUT FCS @ UCLA
Fluorescent analyte ows or diffuses
through a small excitation volume
emitting uorescence bursts
Fluorescence Correlation Spectroscopy
(FCS) analyses the uorescence intensity
uctuations using temporal
autocorrelation
27. HIGH THROUGHPUT FCS @ UCLA
To work well only PROBLEM! SOLUTION!
Need faster
one particle at time Long Multi-spot parallel
acquisition
should enter the acquisition FCS acquisitions
of FCS data
excitation volume times!
28. HIGH THROUGHPUT FCS @ UCLA
To work well only PROBLEM! SOLUTION!
Need faster
one particle at time Long Multi-spot parallel
acquisition
should enter the acquisition FCS acquisitions
of FCS data
excitation volume times!
A very sensitive and high-speed device is required!
SPAD arrays as enabling technology
30. HIGH THROUGHPUT FCS @ UCLA
8x8 ACF with rescaling
100 nm beads in H2O
Curves overlap and can be tted
31. 3D IMAGING
Indirect-ToF
•Modulated light illuminates
the scene
•A very sensitive detector
measure the re ected light
•Depth information can be
extracted calculating the
waveform phase shift:
Δt
L= c
2
€
32. 3D IMAGING
How did a 2D camera become “3D capable”?
Light source + driver + waveform generator + new FPGA rmware
33. 3D IMAGING
Depth resolution:
3 – 9 mm
Scene depth:
30 cm
Measurement time:
10 s
Good results but
need to speed the
acquisition up to
get movie-like 3D
imaging
34. CONCLUSIONS
Group SoA
My work
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
35. CONCLUSIONS
Novel SPAD quenching circuit
•Small footprint
•Small parasitic capacitance
•Compatible with CMOS SPAD technology
•Reduced afterpulsing and good timing
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
36. CONCLUSIONS
Smart pixel architecture
•20-μm CMOS SPAD detector
•Front-end electronics (VLQC)
•Counting and buffer digital logic
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
37. CONCLUSIONS
32x32 CMOS SPAD imager
•1,024 indipendent photon counting channels
•Single-photon sensitivity
•Up to 100 kframe/s
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
38. CONCLUSIONS
SPAD camera
•High-speed digital FPGA-based system electronics
•Plug’n’play device. Power supplies from USB
•Cross-platform user-friendly user interface
•Optics
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
39. CONCLUSIONS
Sub-Rayleigh imaging @
•Experimentally demonstrated and developed novel imaging technique
•Full project responsability
•SPAD camera as enabling technology
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
40. CONCLUSIONS
Fluorescence Correlation Spectroscopy @
•Proof of concept for high-troughput FCS on 1,024 parallel channels
•Customization of SPAD camera for FCS
•Promising preliminary experimental results
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
41. CONCLUSIONS
3D imaging @ Polimi
•Developed and conceived technique to use SPAD camera in 3D imaging
•Very good preliminary experiments
VLQC 3D
Pixel Imaging
FCS
32x32 SPAD Sub-Rayleigh
Array Camera Imaging
42. PHD FACTS
Achievements/Awards
PhD doctoral school
• Physical Review Letters as rst author Courses’ grade: all A (8 courses)
(IF=7.33) Attended extra non-mandatory courses
• Progetto Rocca fellowship
Publications
• My research helped the group to submit
and win an European grant. Total papers: 29
Conference talks: 6
• Laser Focus World Award
“Commendation for excellence in Other
technical communications” Magazine
• Co-author of 2 invited conference papers Conf. co-author
• ESSDERC08: special congratulation by Conf. 1st author
conference committee
Journal
• PhDay 2008 1° year student award
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