fbpx

NXP Semiconductors

www.nxp.com

NXP Semiconductors N.V. (NASDAQ: NXPI) brings together bright minds to create breakthrough technologies that make the connected world better, safer and more secure. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets while delivering solutions that advance a more sustainable future. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 team members in more than 30 countries and posted revenue of $13.21 billion in 2022.

Recent Content by Company

The Autonomous Home Has Arrived: Experience What’s Possible at CES 2024

This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As we enter 2024, the smart home is ready to enter a new era. Thanks to two overlapping trends — the arrival of Matter, the interoperability standard from the Connectivity Standards Alliance (CSA), and the […]

VeriSilicon Demonstration of Its Versatile IP on NXP Semiconductors’ i.MX8M Family Processors

David Jarmon, Senior Vice President, Special Project at VeriSilicon, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Jarmon demonstrates VeriSilicon’s IP adopted by NXP Semiconductors’ i.MX8M top-of-the-line processor family. Designed in collaboration with VeriSilicon, the i.MX8M family integrates some of VeriSilicon’s key processor IP, including […]

Innowave Demonstration of Complete Vision Camera Solutions Using NXP’s i.MX 8M Plus SoC with Integrated ISP

Miki Peer, founder and CEO of Innowave, demonstrates the company’s latest edge AI and vision technologies and products in NXP Semiconductors’ booth at the 2023 Embedded Vision Summit. Specifically, Peer demonstrates camera module integration using NXP’s i.MX 8M Plus SoC along with a Sony IMX258 13 Mpixel image sensor. Innowave calibrated and tuned the integrated […]

NXP Demonstration of AI Functions Implemented on Low-power MCX and RT Microcontrollers

Anthony Huereca, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Huereca demonstrates AI functions running on NXP’s low-power microcontrollers (MCUs). NXP’s new MCX N MCU, which includes the NXP-developed eIQ Neutron NPU, delivers an approximately 40x inference performance improvement when […]

NXP Demonstration of a Driver Monitoring System Enabled By the i.MX 93 SoC and Its Integrated NPU

Michael Pontikes, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Pontikes demonstrates unique features of the new i.MX 93 applications processor. This latest processor from NXP Semiconductors, continuing the company’s long legacy of i.MX applications processors, features the Arm Ethos […]

Avnet Demonstration of Its Edge AI Kit for Fast Stereo Face Recognition with NXP’s i.MX 8M Plus MPU

Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included […]

“Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision,” a Presentation from NXP Semiconductors

Srikanth Jagannathan, Product Manager at NXP Semiconductors, presents the “Introducing the i.MX 93: Your “Go-to” Processor for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this presentation, you’ll learn all about NXP’s just-launched i.MX 93 applications processor family. The i.MX 93 is built with NXP’s innovative Energy Flex architecture, which delivers high […]

NXP’s New i.MX 95 Family of Applications Processors Delivers Safe, Secure and Scalable AI-enabled Edge Platforms

The i.MX 95 family combines multi-core high performance compute, immersive 3D graphics and an integrated NXP eIQ® Neutron Neural Processing Unit (NPU) to enable machine learning and advanced edge applications across automotive, industrial and IoT applications Part of the NXP SafeAssure® portfolio, the i.MX 95 family’s advanced heterogeneous domain design powers safety-enabled platforms with integrated […]

Introducing the NXP eIQ Neutron Neural Processing Unit (NPU)

Highly scalable, area and power efficient machine learning accelerator core architecture. January 4, 2023 – A critical requirement for the next wave of edge applications is advanced processing and machine learning capabilities. Machine learning use cases vary widely for the different markets and application domains requiring different amounts of acceleration compute performance and at differing […]

Avnet Demonstration of Lighting-fast Stereo Facial Recognition with NXP’s i.MX 8M Plus

Monica Houston, Technical Marketing Manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Houston demonstrates a stereo facial recognition application running on Avnet’s Edge AI Development Kit. The kit is based on a production-ready SMARC module from Avnet Embedded and uses NXP’s i.MX […]

Arrow Electronics Demonstration of onsemi Imaging Solutions for Embedded and Edge Applications

Ken Weiner, Image Specialist at Arrow Electronics, demonstrates the latest image sensing products from partner onsemi at the 2022 Embedded Vision Summit. Specifically, Weiner demonstrates imaging solutions for embedded and edge applications, featuring onsemi’s broad portfolio of image sensing products. These plug-and-play camera modules based on onsemi image sensors offer compatibility with the popular 96boards […]

“Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor,” a Presentation from NXP Semiconductors

Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Intelligent Vision for the Industrial,​ Automotive and IoT Edge with the i.MX 8M Plus Applications Processor” tutorial at the May 2022 Embedded Vision Summit. Today’s edge-based ML solutions need a powerful multicore processor packed with features and […]

A Tutorial on Implementing Visual Intelligence with a Low Cost MCU

In the fall of 2021, Alliance Member companies Au-Zone Technologies and NXP Semiconductors co-presented the webinar “ML at the Edge: Visual Intelligence with a Low Cost MCU” as an accompaniment to their technical blog post on the topic. If you missed the webinar, you can view the archive recording here. From the event page: Are […]

Upcoming Webinar Discusses Vision-based Medical Device Development

On March 23, 2022 at 9:00 am Pacific Time, Alliance Member Company e-con systems will deliver the webinar “Develop Your Medical Devices with e‑con Cameras and i.MX8 Processors”. From the event page: One of the key challenges in developing medical devices is to choose the best camera with the right processing platform. Most medical devices […]

Visual Intelligence for IoT

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. It wasn’t that long-ago computer vision applications with AI/ML intelligence required systems with extensive compute capability, lots of memory and high-end industrial cameras. The notion of adding computer vision with ML capability to cost sensitive […]

Upcoming Webinar Explores How to Accelerate Your Visual Intelligence Project

On March 1, 2022 at 8:00 am PT (11:00 am ET), Alliance Member companies Au-Zone Technologies and NXP Semiconductors, along with Toradex, will deliver the free webinar “Accelerate your Visual Intelligence Project with the Maivin AI Vision Starter Kit.” From the event page: Are you an embedded developer looking to add visual intelligence capabilities to […]

Demonstration of Pedestrian Detection and Classification

This pedestrian detection and classification demonstration showcases the DeepView Model Pack and Maivin AI Vision Starter Kit, both developed by Au-Zone Technologies. The Maivin AI Vision Starter Kit is a modular AI smart camera platform built on NXP’s i.MX8MPlus applications processors and production-grade hardware and software components to enable rapid prototyping and field deployment of […]

Leading Edge AI Chipmaker Hailo Partners with NXP to Launch High-Performance, Scalable, AI Solutions for the Automotive Industry

NXP’s automotive processors, combined with the Hailo-8™AI processor, offer powerful, scalable, safe, and efficient deep learning processing for automotive ECUs TEL AVIV, Israel, Dec. 16, 2021 /PRNewswire/ — Hailo, the leading edge Artificial Intelligence chipmaker today announced its partnership with NXP® Semiconductors, an automotive market innovator, to launch a number of joint AI solutions for […]

MicroSys Puts Hailo AI Performance on Its SoM Platforms with NXP S32G Vehicle Network Processors

Performance boost for artificial intelligence in situational awareness, autonomous driving and predictive maintenance applications Columbia, MD / Munich, Germany, and Tel Aviv, Israel, November 30th, 2021 – NXP Gold partner MicroSys Electronics announced that its new embedded SoM (System-on-Module) platform miriac AIP-S32G274A, which is based on NXP S32G vehicle network processors, now supports Hailo-8 AI accelerator modules. […]

Upcoming Webinar Explores How to Build and Secure an Edge AI Solution

On December 1, 2021 at 9:00 am PT (noon ET), Alliance Member companies Arm, NXP Semiconductors, Siemens Digital Industries Software and Synopsys, along with Arcturus Networks, will deliver the free webinar “How to Build and Secure an Edge AI Solution from IP Cores, to SoC, to OS, to Algorithm , to Software Applications.” From the […]

Webinar Explores Building Scalable Edge ML Solutions Using NXP Processors and Amazon Services

Now available for on-demand viewing is the archive recording of the webinar “Building Scalable Edge ML Solutions with NXP i.MX Applications Processors and AWS Cloud Services,” co-presented by Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, and Jack Ogawa, responsible for Strategic Semiconductor Partnerships for IoT at […]

“Can You Make Production ML Work Without Dozens of PhDs?,” An Embedded Vision Summit Expert Panel Discussion

Christopher Rommel, Executive Vice President for IoT and Industrial Technology at VDC Research, moderates the “Can You Make Production ML Work Without Dozens of PhDs?” Expert Panel at the May 2021 Embedded Vision Summit. Other panelists include Zach Shelby, Co-founder and CEO of Edge Impulse; Jason Lavene, Senior Principal Architect at Keurig Dr. Pepper; and […]

Upcoming Tech Talk Discusses Bringing Edge AI to Life

On July 13, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP Semiconductors will deliver the free tech talk “Bringing Edge AI to Life – from Concept to Production”, in collaboration with Arcturus and in partnership with fellow Alliance Member company Arm. From the event page: Often the first step in developing […]

Machine Learning Goes Mainstream – NXP’s eIQ ML Software Development Environment Just Got Smarter and Friendlier

This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of Things (IoT). While the IoT gave rise to billions of smart, connected devices transmitting countless terabytes of sensor data for […]

Upcoming Webinar Explores Rapid Machine Learning Model Development

On July 8, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP will deliver the free webinar “Data To Inference In Under 30 Minutes: Machine Learning Development With Nxp eIQ Software”, in partnership with fellow Alliance Member company Au-Zone Technologies. From the event page: No matter your experience level or the data […]

cedbea25-ca5f-4ae7-8686-2f264d79bd3c

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 […]

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 […]

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 […]

“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 […]

“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 […]

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 […]

Figure5

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 […]

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 […]

“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

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 […]

“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

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 […]

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 […]

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, […]

“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 […]

“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 […]

Figure3

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 […]

Figure3

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 […]

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 […]

idlogo2

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 […]

Figure2

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 […]

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, […]

ee_journal_logo

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 […]

johnday-blog

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 […]

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 […]

Figure1b

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 […]

Figure4

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 […]

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 […]

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 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 […]

CoverArtThumb

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 […]

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 […]

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.

Contact

Address

1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA

Phone
Phone: +1 (925) 954-1411
Scroll to Top