Forum - Recent Threads

NXP NFC tag for signature creation

javagoza — Fri, 10 Jun 2022 11:51:16 GMT

I am involved in a project in which I would need a type of NFC tag that would be fixed inside a car to sign some data that would be generated on a mobile phone with NFC. What NXP solutions are there?

RE: NXP NFC tag for signature creation

Cecelia — Wed, 31 May 2023 07:56:02 GMT

I don't know if NXP has something similar.

RE: NXP NFC tag for signature creation

javagoza — Mon, 13 Jun 2022 07:57:26 GMT

The closest solution I've found so far for what I'm looking for is the Infineon's Blockchain Security 2Go

But what I'm looking for would be a similar solution in a sticky tag format that gets destroyed when trying to peel it off.

I don't know if NXP has something similar.

eCockpit NXPLive Demo

peggy-nxp — Fri, 07 May 2021 06:58:23 GMT

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Simplifying eCockpit design with optimized processor, power, audio and connectivity system solutions.

Watch this demo to learn about the next wave of in-vehicle experiences.

Simplifying eCockpit - i.MX 8: Scalable 4K, multi-screen and SafeAssure enabled processor and power management families optimized for a wide range of in-cabin experiences.
Software-defined radio: Advanced small footprint software-defined radio: 6 ICs into 1 for audio processing with scalable Class-D audio amplifiers.
Connectivity: Broad connectivity options with Wi-Fi [emoticon:6abd1cb2558648488dbea31d006afc59] 6, Ethernet, CAN, USB security and sensor fusion solutions.

Explore more in our virtual showroom:eCockpit Showroom

Watch the video here !

need support on Codewarrior dev suite

beyondit — Thu, 24 Dec 2020 12:54:46 GMT

need support on Codewarrior dev suite.

is there any technical assistance in selecting codewarrior dev tool suits.

Radar is essential for vehicle safety !

peggy-nxp — Thu, 03 Sep 2020 11:48:42 GMT

Watch our video here

Explore some of our newest and most advanced solutions around Machine Learning at the Edge, Automotive Autonomy, Battery Management and Safety and Security.

For more information, please visit our S32R274 end-to-end Reference Design Kit.

NXP strives for best-in-class supply assurance for all customers

peggy-nxp — Thu, 27 Aug 2020 11:26:24 GMT

Watch the video

Today more than ever, companies want to ensure Supply Assurance! Watch this video to see how we are dedicated to providing this and Business Continuity to radar customers.

Supply assurance and business continuity is always on customer top of mind! Find out how NXP continuously assess and improves our capabilities to meet the needs of all our customers.

For more information visit www.nxp.com/radar

Achieve ISO 26262 with NXP Safety products and solutions

peggy-nxp — Tue, 28 Jul 2020 13:05:37 GMT

Overview

NXP's Safety Academy is an extension of our ongoing commitment to develop safety awareness and processes in and outside of the company.

Learn more at:

nxp.com/SafeAssure

nxp.com/SafetyAcademy

Watch the video here

Designing For Safety Critical Systems

peggy-nxp — Mon, 29 Jun 2020 08:03:16 GMT

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At NXP we believe in vision zero: zero accidents on the road. We know that safety matters to you too. So, the Safety Academy brings you the tools and tips to start designing more quickly for safety critical. Build your training path today.

Simplify Your ISO 26262 Compliance

Learn how to use NXP safety products and enablement collateral to simplify your ISO 26262 compliance.

Reduce Development Time

Understand safety deliverables and how they can accelerate your time to market.

Dedicated Training Paths

Learn exactly what you need for your role with focused training options.

Learn more on the Art of Safety With NXP

Bringing Low Power, High Performance Audio and Voice to Market on the i.MX RT600 Crossover MCU

peggy-nxp — Thu, 11 Jun 2020 07:43:05 GMT

About This Course

In this session, learn how DSP Concept's Audioweaver tools and libraries can unleash the performance of NXP's new i.MX RT600 MCU, allowing audio designers to implement designs quickly from the algorithm level.

Training Outline:

NXP's i.MXRT600
- NXP's scalable edge processing portfolio.
- i.MX RT600.
DSP Concepts
- Who we are.
- Main Audio weaver functionality.
- TalkTo.
Weaver Demonstrations
- Test setup.
- Audio weaver live demonstration.
Q&A

What You Will Learn

Easily integrate and create advanced audio featured in DSPs Audioweaver designer.
Meet DSP´s TalkTo to deploy voice control on MCUs.
Implement an audio feature in i.MX RT600 using Audioweaver.

Watch the video here

Learn more on our S32V23x Automotive processors

peggy-nxp — Thu, 04 Jun 2020 09:43:58 GMT

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EIQ-AUTO-TOOLKIT: eIQ[emoticon:7d377b609b6f44bf9290e3d8a0b9a733] Auto Deep Learning toolkit for S32V23x processors

The NXP eIQ[emoticon:7d377b609b6f44bf9290e3d8a0b9a733] Auto Deep Learning toolkit for S32V23x processors is an automotive-grade deep learning (DL) toolkit enabling developers to transition their DL algorithms seamlessly from the development environment to full implementation application.
The eIQ Auto toolkit helps to satisfy stringent automotive quality and reliability standards. The toolkit is comprised of software, accompanying tools, and libraries like TensorFlow, PyTorch, Caffe, and ONNX.

Our eIQ Auto toolkit community will provide you with the needed content and collateral for your application development. Request access to be part of the community.

Watch this video on our Automotive MPC5744P

peggy-nxp — Thu, 04 Jun 2020 09:34:13 GMT

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About This Course

Learn how to design and prototype a Motor Control application using Model-Based Design Toolbox (MBDT) and the 32-bit Power Architecture[emoticon:6abd1cb2558648488dbea31d006afc59] MPC5744P ultra-reliable microcontrollers.
Check the dedicated Engineering Support thread in our online Community.

What you will Learn

To leverage MBDT capabilities.
To understand the MPC5744P capabilities for industrial control.
To step-by-step control the motor speed.
To know how to use all the available tools.

Learn More About Our S32K Automotive MCU

peggy-nxp — Thu, 04 Jun 2020 09:25:57 GMT

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About This Course

Learn about the key technical features of our general-purpose microcontroller family integrating Arm[emoticon:6abd1cb2558648488dbea31d006afc59] Cortex[emoticon:6abd1cb2558648488dbea31d006afc59]-M4F or M0+ cores. This session provides a general overview around scalability, low-power, security, safety, software and solution buildup to help accelerate our customer’s time to market on automotive and ultra-reliable applications.

Training Outline

S32K Product Family Overview
S32K1 Technical Capabilities
- SoC Benefits, SW, Tools, Solutions
Technical Resources

What You Will Learn

Learn about the key technical features of S32K automotive microcontroller family integrating Arm[emoticon:6abd1cb2558648488dbea31d006afc59] Cortex[emoticon:6abd1cb2558648488dbea31d006afc59]-M4F or M0+ cores.

Powertrain simulation software

moi8765 — Fri, 08 May 2020 14:48:32 GMT

I am a newbie to electric vehicle design. I have read extensively on various motors and control techniques. I tried simulations in Simulink and was able to make reasonable results. What other softwares are available for simulation.

RE: Develop a stand alone image processing device

roshan4544 — Thu, 09 Apr 2020 05:34:01 GMT

I found solution.

Actually I can do in Raspberry Pi Only with Raspberry Pi Compute Module

https://www.instructables.com/id/Design-Your-Own-Raspberry-Pi-Compute-Module-PCB/

Online Training Getting Started with EdgeLock™︎ SE050 for Industrial

peggy-nxp — Tue, 31 Mar 2020 12:28:58 GMT

Connect here online

About This Course

The implementation of security for the IoT and Industrial 4.0 applications has never been easier with the EdgeLock SE050, NXP’s latest Plug & Trust certified secure element family. Join us and learn how to get started with EdgeLock SE050 in only a few simple steps. Be ready for different use cases such as securing your industrial device-to-device communication, protecting your sensitive sensor data or authenticating to a WiFi network and IoT cloud.

Additional Resources

Get your OM-SE050ARD Board

Get your LPC55S69-EVK

Download the Plug&Trust LPC55S69 SDK

RE: Develop a stand alone image processing device

ankur608 — Fri, 27 Mar 2020 18:18:43 GMT

Use ESP32 Cam, a 32bit MCU is enough for this task.

RE: Develop a stand alone image processing device

roshan4544 — Fri, 27 Mar 2020 11:22:24 GMT

Hi, I forgot to inform you. The barcode is hidden information. Barcode is visible when some color filter is applied to camera. I actually get unclear image after filters. I have to enhance the image before reading it. So I'm gone for Raspberry Pi

Develop a stand alone image processing device

roshan4544 — Fri, 27 Mar 2020 08:01:42 GMT

Hi peeps,

I have created one device which reads qr code and process the data and gives result in display using Raspberry Pi. For me now challenge is I have to remove Raspberry Pi and should not use any other development boards. Instead of using development board I have to use any Microcontroller or Microprocessor or FPGA(no Idea) like I wanted to mount everything in a single PCB. So I'm requesting you people to suggest me a good Microcontroller or Microprocessor or FPGA which is equivalent to Raspberry PI

RE: Develop a stand alone image processing device

michaelkellett — Fri, 27 Mar 2020 10:59:41 GMT

Sorry Roshan, that's nothing like enough information to work out what kind of processor you need:

Using Python and openCV is a staggering inefficient way of decoding a bar code in terms of minimizing hardware or processor cycles.

It is not readily translatable to FPGA or custom logic.

QR codes can be decoded on ARM Cortex M4 class processors:

http://www.codeforge.com/article/463122

RE: Develop a stand alone image processing device

roshan4544 — Fri, 27 Mar 2020 10:38:43 GMT

Hi Micheal Kellett,

Thank you for the reply, actually I don't have idea of minimum requirement. I'm using Raspberry Pi 3B+ in that using 640*480 resolution camera with 15fps frame rate. It runs smoothly.

I'm using Python language along with openCV

And open sources I can learn easily.

RE: Develop a stand alone image processing device

michaelkellett — Fri, 27 Mar 2020 09:52:26 GMT

Since you already have something working you can define the resources it requires to run. This will enable you to select the least device to implement your design. FPGA s are not likely substitutes for a Raspberry Pi, there are several micro-controllers with camera interfaces, lots of memory and significant processing capacity.

What language Is your code written in ?

Do you use library code and/or operating system services ?

If you just use a processor which is similar to the Broadcom devices used on the PI you will end up with it costing more than a PI unless you are going to make millions of them.

Select the right MCU or MPU for your device.

peggy-nxp — Thu, 26 Mar 2020 19:30:46 GMT

Find the right MCU/MPU for your application

NXP is a leading supplier of embedded controllers with a strong legacy in both the industrial and consumer market. We have a broad portfolio of MCUs across our 8-, 16-, and 32-bit platforms—featuring leading-edge low-power, analog, control, and communications IP.Arm^{[emoticon:6abd1cb2558648488dbea31d006afc59]}-Based Processors and Microcontrollers

Arm-based portfolio offers the highest level of integration, comprehensive software/hardware enablement and the broadest range of performance.

Au-Zone Technologies’ IoT Vision Sensor leverages NXP i.MX RT1060 Crossover MCU with Arm®︎ Cortex®︎-M7 core

peggy-nxp — Thu, 26 Mar 2020 09:13:05 GMT

Visual Intelligence for IoT Devices

Au-Zone Technologies, provider of development tools, engineering design services and enabling IP. Au-Zone Technologies’ IoT Vision Sensor leverages NXP’s Cortex-M7 based RT1060 with Au-Zone’s highly optimized DeepView ML stack to disrupt the market with a truly cost effective computer vision solution for IoT edge devices. Combining high performance with real time functionality, the i.MX RT series of crossover processors are designed to support the next generation IoT applications with a high level of integration and security balanced with MCU-level usability at an affordable price, Learn more one this MCU

RE: Au-Zone Technologies’ IoT Vision Sensor leverages NXP i.MX RT1060 Crossover MCU with Arm®︎ Cortex®︎-M7 core

clem57 — Thu, 26 Mar 2020 13:13:58 GMT

Very impressive technology. I wonder if you have a need for projects to use this hardware? I would volunteer as a "guinea pig" if so. Thanks for the links.

Clem

Forum - Recent Threads

NXP NFC tag for signature creation

RE: NXP NFC tag for signature creation

RE: NXP NFC tag for signature creation

eCockpit NXPLive Demo

need support on Codewarrior dev suite

Radar is essential for vehicle safety !

NXP strives for best-in-class supply assurance for all customers

Achieve ISO 26262 with NXP Safety products and solutions

Overview

Designing For Safety Critical Systems

Bringing Low Power, High Performance Audio and Voice to Market on the i.MX RT600 Crossover MCU

About This Course

Training Outline:

What You Will Learn

Learn more on our S32V23x Automotive processors

[View:/resized-image/__size/284x174/__key/communityserver-discussions-components-files/61/1732.contentimage_5F00_137943.png:284:174]

EIQ-AUTO-TOOLKIT: eIQ[emoticon:7d377b609b6f44bf9290e3d8a0b9a733] Auto Deep Learning toolkit for S32V23x processors

Watch this video on our Automotive MPC5744P

About This Course

What you will Learn

Learn More About Our S32K Automotive MCU

[View:/resized-image/__size/326x199/__key/communityserver-discussions-components-files/61/3146.contentimage_5F00_137941.png:326:199]

About This Course

Training Outline

What You Will Learn

Powertrain simulation software

RE: Develop a stand alone image processing device

Online Training Getting Started with EdgeLock™︎ SE050 for Industrial

Connect here online

About This Course

Additional Resources

RE: Develop a stand alone image processing device

RE: Develop a stand alone image processing device

Develop a stand alone image processing device

RE: Develop a stand alone image processing device

RE: Develop a stand alone image processing device

RE: Develop a stand alone image processing device

Select the right MCU or MPU for your device.

Find the right MCU/MPU for your application

Au-Zone Technologies’ IoT Vision Sensor leverages NXP i.MX RT1060 Crossover MCU with Arm®︎ Cortex®︎-M7 core

Visual Intelligence for IoT Devices

RE: Au-Zone Technologies’ IoT Vision Sensor leverages NXP i.MX RT1060 Crossover MCU with Arm®︎ Cortex®︎-M7 core

[View:/resized-image/size/284x174/key/communityserver-discussions-components-files/61/1732.contentimage_5F00_137943.png:284:174]

[View:/resized-image/size/326x199/key/communityserver-discussions-components-files/61/3146.contentimage_5F00_137941.png:326:199]