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NXP Semiconductors

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NXP Semiconductors N.V. enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets.

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Top AI Chipset Companies Announced, Including NVIDIA, Intel, NXP, Apple, and Google, Based on CompassIntel.com Research

NVIDIA, Intel, NXP, Apple, and Google top the A-List in AI Chipset Index based on recently released research by Compass Intelligence. The 2019 A-List in AI (artificial intelligence) Chipset Index includes companies providing software and hardware components of AI chipsets. AI chipset products include central processing units, graphic processing units, neural network processors, application specific …

Top AI Chipset Companies Announced, Including NVIDIA, Intel, NXP, Apple, and Google, Based on CompassIntel.com Research Read More +

NXP Semiconductors Demonstration of Deep Learning-based Multi-object Detection Using S32V234 Vision Processor

Ali Osman Ors, Director of AI Strategy and Partnerships for Automotive at NXP Semiconductors, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Ors demonstrates deep learning-based multi-object detection based on MobileNet and Single Shot Detector (SSD) running in real-time on the embedded automotive-grade S32V234 Vision SoC, with the capability of detecting …

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NXP Semiconductors Demonstration of Optimized Performance and Memory Utilization for Object Detection on i.MX RT

Markus Levy, Director of Enabling Technologies at NXP Semiconductors, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Levy demonstrates the i.MX RT architecture, which represents the convergence of low-power application processors and high-performance microcontrollers. This particular demo shows the i.MX RT1050 MCU, which is based on a 600MHz Arm® Cortex®-M7 core …

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“Understanding Automotive Radar: Present and Future,” a Presentation from NXP Semiconductors

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 …

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“The Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the “Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge” tutorial at the May 2018 Embedded Vision Summit. Regardless of the processing topology—distributed, centralized or hybrid —sensor processing in automotive is an edge compute problem. However, with …

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Computer Vision for Augmented Reality in Embedded Designs

Augmented reality (AR) and related technologies and products are becoming increasingly popular and prevalent, led by their adoption in smartphones, tablets and other mobile computing and communications devices. While developers of more deeply embedded platforms are also motivated to incorporate AR capabilities in their products, the comparative scarcity of processing, memory, storage, and networking resources …

Computer Vision for Augmented Reality in Embedded Designs Read More +

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

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OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities Read More +

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often …

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors Read More +

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often …

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors Read More +

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the …

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies Read More +

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, and Sébastien Taylor, Vision Technology Architect at Au-Zone Technologies, present the "Implementing an Optimized CNN Traffic Sign Recognition Solution" tutorial at the May 2017 Embedded Vision Summit. Now that the benefits of using deep neural networks for image classification are well known, the …

“Implementing an Optimized CNN Traffic Sign Recognition Solution,” a Presentation from NXP Semiconductors and Au-Zone Technologies Read More +

Facial Analysis Delivers Diverse Vision Processing Capabilities

Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of …

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Vision Processing Opportunities in Drones

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation, …

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“Sensing Technologies for the Autonomous Vehicle,” a Presentation from NXP Semiconductors

Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit. Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in …

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“Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems,” a Presentation from CogniVue

Simon Morris, CEO of CogniVue, presents the "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems" tutorial at the May 2015 Embedded Vision Summit. The automotive industry has embraced embedded vision as a key safety technology. Many car models today ship with vision-based safety features such as forward collision avoidance and lane …

“Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems,” a Presentation from CogniVue Read More +

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

Smart Exterior Cameras Enhance Vehicle Safety, Security Read More +

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

Smart Exterior Cameras Enhance Vehicle Safety, Security Read More +

Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices

A version of this article was originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide …

Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices Read More +

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Practical Computer Vision Enables Digital Signage with Audience Perception

This article was originally published at Information Display Magazine. It is reprinted here with the permission of the Society of Information Display. Signs that see and understand the actions and characteristics of individuals in front of them can deliver numerous benefits to advertisers and viewers alike.  Such capabilities were once only practical in research labs …

Practical Computer Vision Enables Digital Signage with Audience Perception Read More +

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Smart In-Vehicle Cameras Increase Driver and Passenger Safety

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras located in a vehicle's interior, coupled with cost-effective and power-efficient processors, can deliver abundant benefits to drivers and passengers alike. By Brian Dipert Editor-in-Chief Embedded Vision Alliance Tom Wilson Vice President, Business Development …

Smart In-Vehicle Cameras Increase Driver and Passenger Safety Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue

Simon Morris, CEO of CogniVue, presents the "Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality" tutorial at the May 2014 Embedded Vision Summit. Augmented reality (AR) applications are based on accurately computing a camera's 6 degrees of freedom (6DOF) position in 3-dimensional space, also known as its "pose". In vision-based approaches to AR, …

May 2014 Embedded Vision Summit Technical Presentation: “Evolving Algorithmic Requirements for Recognition and Classification in Augmented Reality,” Simon Morris, CogniVue Read More +

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Augmented Reality: A Compelling Mobile Embedded Vision Opportunity

This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Although augmented reality was first proposed and crudely demonstrated nearly fifty years ago, its implementation was until recently only possible on bulky and expensive computers. Nowadays, however, the fast, low power and cost-effective processors and high …

Augmented Reality: A Compelling Mobile Embedded Vision Opportunity Read More +

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Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Thanks to the emergence of increasingly capable and cost-effective processors, image sensors, memories and other semiconductor devices, along with robust algorithms, it's now practical to incorporate computer vision into a wide range of embedded …

Improved Vision Processors, Sensors Enable Proliferation of New and Enhanced ADAS Functions Read More +

October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue

Tom Wilson, Vice President of Business Development at CogniVue, presents the "Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision" tutorial within the "Front-End Image Processing for Vision Applications" technical session at the October 2013 Embedded Vision Summit East. The ability to detect and determine the position of objects in 3D is important for many …

October 2013 Embedded Vision Summit Technical Presentation: “Efficiently Computing Disparity Maps for Low-Cost 3D Stereo Vision,” Tom Wilson, CogniVue Read More +

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Visual Intelligence Gives Robotic Systems Spatial Sense

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective …

Visual Intelligence Gives Robotic Systems Spatial Sense Read More +

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Embedded Vision on Mobile Devices: Opportunities and Challenges

by Tom Wilson CogniVue Brian Dipert Embedded Vision Alliance This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs …

Embedded Vision on Mobile Devices: Opportunities and Challenges Read More +

April 2013 Embedded Vision Summit Technical Presentation: “Developing Low-Cost, Low-Power, Small Vision Systems,” Simon Morris, CogniVue

Simon Morris, CEO of CogniVue, presents the "Developing Low-Cost, Low-Power, Small Vision Systems" tutorial within the "Embedded Vision Applications" technical session at the April 2013 Embedded Vision Summit.ebsite.

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race

By Brian Dipert Senior Analyst, BDTI Editor-in-Chief, Embedded Vision Alliance Yair Siegel Director of Marketing, Multimedia, CEVA Simon Morris Chief Executive Officer, CogniVue Liat Rostock Marketing Director, eyeSight Mobile Technologies Gershom Kutliroff Chief Technical Officer, Omek Interactive This article was originally published at EE Times' Communications Design Line. It is reprinted here with the permission …

The Gesture Interface: A Compelling Competitive Advantage in the Technology Race Read More +

September 2012 Embedded Vision Summit Panel: Avnet, CogniVue, and Synopsys

Jeff Bier, Embedded Vision Alliance Founder, moderates a discussion panel comprised of the presenters in the "Embedded Vision Applications and Algorithms" technical session at the September 2012 Embedded Vision Summit; Mario Bergeron from Avnet, Simon Morris from CogniVue, and Bo Wu from Synopsys. The panelists discuss topics such as the ability to derive depth approximation …

September 2012 Embedded Vision Summit Panel: Avnet, CogniVue, and Synopsys Read More +

September 2012 Embedded Vision Summit Presentation: “Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications,” Simon Morris, CogniVue

Simon Morris, CEO at CogniVue, presents the "Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications" tutorial within the "Using Tools, APIs and Design Techniques for Embedded Vision" technical session at the September 2012 Embedded Vision Summit. Morris discusses the multiple stages in the development of a smart rear-view camera application performing vision-based …

September 2012 Embedded Vision Summit Presentation: “Challenges and Techniques in Low-Cost, Low-Power, Small Form Factor Vision Applications,” Simon Morris, CogniVue Read More +

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Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors

By Tina Jeffrey Program Manager CogniVue This  is a reprint of a CogniVue-published white paper in the company's Knowledge Center, and is also available here (1.2 MB PDF). The CogniVue Smart Enhanced BackUp Camera (SmartEBC) is a revolutionary automotive rear-view camera application that analyzes image data from a single image sensor to track objects in …

Smart Enhanced Back-Up Camera (SmartEBC) for CV220X Image Cognition Processors Read More +

20/20 Embedded Vision for Robots

By Alexandra Dopplinger Global Segment Marketing Manager, Freescale Semiconductor and Brian Dipert Editor-In-Chief Embedded Vision Alliance Senior Analyst BDTI This article was originally published by Electronic Products Magazine. It is reprinted here with the permission of the original publisher. If you order a pair of shoes (or a dozen) from Zappos (the largest online footwear …

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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