Industrial & Automotive

Single Wire Aggregation – The FPGA Advantage

Single Wire Aggregation – The FPGA Advantage

Posted 09/09/2020 by Hussein Osman

To reduce overall system size and BOM cost in industrial, consumer, and computing applications., Lattice offers a single wire aggregation (SWA) IP solution

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Low Power FPGAs Enabling Embedded Vision

Low Power FPGAs Enabling Embedded Vision

Posted 03/12/2020 by Bob O’Donnell

One of the most intriguing new applications of technology is giving machines the ability to see something called machine vision or embedded vision.

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Embedded World 2019

mVision Debuts at Embedded World 2020

Posted 03/12/2020 by Dirk Seidel

I attended Embedded World in Nuremberg, Germany recently and wanted to share some thoughts about the trends and technologies that received the most attention at the show this year.

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Q2 2019 Industrial and Automotive Newsletter

Latest Industrial/ Automotive News from Lattice

Posted 01/28/2020 by Lattice Semiconductor

Read the latest industrial and automotive news from Lattice: CrossLink-NX FPGA brings benefits to Lattice Nexus Platform, Radiant 2.0 adds key enhancement.

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Lattice Nexus Platform

Introducing the Lattice Nexus Platform

Posted 12/10/2019 by Gordon Hands

As the leader in low power programmability, Lattice has set the standard for what low power, small form factor FPGAs can do in terms of performance and power consumption. We earned and maintained that position through a culture committed to customer support and consultation. For example, before we began active development of the Lattice Nexus platform, we met over 100 different customer design teams to get their input on the

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CrossLink-NX Blog

Lattice CrossLink-NX FPGAs: Enabling Embedded Vision and AI to the Edge

Posted 12/10/2019 by PJ Chiang

There is growing interest among embedded vision developers in adding AI/ML technology to their designs to give them the intelligence needed to run applications like object counting or presence detection. However, supporting AI/ML in embedded vision applications can be challenging, particularly as embedded vision applications trend towards increasing complexity.

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Lattice Extends the Lead in Ultra Low Power at the Edge at Linley Fall Processor Conference

Lattice Extends the Lead in Ultra Low Power at the Edge at Linley Fall Processor Conference

Posted 11/08/2019 by Hussein Osman

At Linley Fall Processor Conference, Lattice shared latest updates to Lattice sensAI™, a solution stack for next-generation smart devices with extremely low power consumption.

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CrossLinkPlus: Embedded Vision at Flash Speed

CrossLinkPlus: Embedded Vision at Flash Speed

Posted 09/30/2019 by Peiju Chiang

CrossLinkPlus devices are low power FPGAs featuring integrated flash memory, a hardened MIPI D-PHY and high-speed I/Os for instant-on and flexible on-device programming capabilities, while bringing ready-to-use IPs to accelerate video bridging application development.

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Q2 2019 Industrial and Automotive Newsletter

Latest Industrial/Automotive News from Lattice

Posted 09/27/2019 by Lattice Semiconductor

Read the latest industrial and automotive news from Lattice: Enhanced sensAI stack packs 10X performance boost, Integrate AI into smart applications, CrossLink FPGA simplifies use of embedded vision, Lattice showcases sensAI at Microsoft Hackathon.

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Dealing with Rising Performance Demands at the Edge

Dealing with Rising Performance Demands at the Edge

Posted 08/29/2019 by Hussein Osman

If you’re looking at ways to implement Edge AI, be sure to read about the use cases for the Lattice sensAI solution stack for always-on Edge devices covered at the end of our white paper.

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Watch the Lattice sensAI Solutions Stack Deliver Low Power Smart Vision to the Edge

Watch the Lattice sensAI Solutions Stack Deliver Low Power Smart Vision to the Edge

Posted 07/10/2019 by Hussein Osman

If you missed the 2019 Embedded Vision Summit, check out the latest sensAI demos from Lattice to and see what smart vision can enable in Edge devices

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Q2 2019 Industrial and Automotive Newsletter

Latest Automotive and Industrial News from Lattice

Posted 06/28/2019 by Lattice Semiconductor

Read the latest automotive and industrial news from Lattice: New MachXO3D FPGA brings secures entire systems with hardware root-of-trust, Crosslink bridge connects industrial displays to mobile processors, new 3D Depth Mapping demo, new Scaler IP core for ECP5, and a new version of Diamond Software v 3.11 adds support for MachXO3D.

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MachXO3D

MachXO3D: Enabling Hardware Security

Posted 05/20/2019 by Gordon Hands

We live in an increasingly connected world, filled with communication systems, cloud computing and Edge devices working together to increase safety, comfort and convenience. But with that connectivity comes risk. We’re all familiar with how hackers exploit vulnerabilities in software to illegitimately access systems, but hardware is also vulnerable.

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sensAI 2.0 Blog

Lattice sensAI Delivers 10x Performance Boost for AI on Edge Devices

Posted 05/20/2019 by Hussein Osman

A year ago we launched the Lattice sensAI solutions stack. Since then, the need for AI at the Edge has continued to grow. Consider this statistic from Tractica: by 2025 the market for Edge-based AI chipsets is forecasted to hit $51.6 billion (that’s over three times their forecasted revenues for cloud-based AI chips). Why all the interest in chips that support AI at the Edge?

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AI in Retail

Implementing Low Cost Intelligence in Smart Retail Applications

Posted 04/10/2019 by Dirk Seidel

We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.

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Embedded World 2019

At Embedded World 2019, Lattice Brings AI to the Edge

Posted 03/07/2019 by Dirk Seidel

Last week at Embedded World, the Nürnberg Exhibition Center was abuzz with conversations about today’s hottest tech topic, artificial intelligence (AI), as embedded engineers prowled the show floor looking for ways to quickly and easily add AI support to future products. Lucky for them, Lattice Semiconductor had the solutions they were looking for.

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Person Detection at sub 1 mWatt

Proven Human Presence Simplified

Posted 01/11/2019 by Hussein Osman

With the evolution of SMART cities, homes and factories, there is a multitude of situations that demand accurate proof of the presence of a person…and perhaps his or her positioning and actions. In a modern factory using Industrial IoT (IIoT)/ Industry 4.0 practices, safety must not be left behind.

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Architecting Low Power AI

System Architecture Options for On-Device AI

Posted 11/14/2018 by Deepak Boppana

How often is low power the determining factor for success? Certainly when designing solutions for AI inferencing in always-on edge devices, the power consumption must be measurable in milliwatts. Think about it: AI at the edge solves real world problems, and is – or very soon will be – everywhere.

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Is Your Computer Firmware Safe?

New NIST Standard Tackles Latest Attack Vector for Servers

Posted 11/07/2018 by Shyam Chandra

There is an emerging, though not widely known attack vector for hacking a server: firmware. Last month, researchers at ESET published a report on Lojax, a rootkit (firmware hacking tool) believed to have been developed by Sednit, the notorious cyberespionage group linked to Russian military intelligence.

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Use FPGAs to Optimize Always-on, Inferencing Applications

Use FPGAs to Optimize Always-on, Inferencing Applications

Posted 10/08/2018 by Deepak Bopanna

A new generation of AI-based edge computing applications demand a wide range of performance requirements. But how can developers build edge solutions that consume little power and occupy minimal footprint at low cost without compromising performance?

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AI in the smart factory

AI in the smart factory

Posted 09/26/2018 by Dirk Seidel

It may seem obvious but safer factories are not only a better work environment, they are also more productive. And some of the machine vision techniques that are now being employed to ensure worker safety are also applicable to aid production processes.

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Meeting Demand for More Intelligence at the Edge

Meeting Demand for More Intelligence at the Edge

Posted 08/21/2018 by Deepak Boppana

Over recent decades system design has evolved from one processing topology to another, from centralized to distributed architectures and back again in a constant search for the ideal solution.

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AI / Machine Learning

Inferencing Technology Stack Shrinks Time-to-Market for Edge Applications

Posted 06/12/2018 by Deepak Boppana

New Technology Promises to Accelerate Deployment of Machine Learning Inferencing Across Mass Market, Low-power IoT Applications

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VIP - Designing Embedded Vision: It’s That Easy

Designing Embedded Vision: It’s That Easy

Posted 05/24/2018 by Dirk Seidel

On the path for faster time-to market and reduced development time and cost, rapid prototyping is required for many electronic designs. To accomplish this task, designers need to reuse existing hardware and software building blocks. The emergence of vision technologies further complicates this path as many design engineers have experience in everything but embedded vision!

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Mobile-Influenced FPGAs Going Broad

Mobile-Influenced FPGAs Going Broad

Posted 04/17/2018 by Hussein Osman

The complexity of implementing intelligent Edge solutions is causing many issues for designers, including accommodating devices with new and legacy interfaces in a variety of applications. Some of these applications also require compute engines capable of processing data collected at low power and cost.

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Form Follows Function – Selecting the Best Lattice FPGA

Form Follows Function – Selecting the Best Lattice FPGA

Posted 04/03/2018 by Gordon Hands

You may be asking yourself, “What does a nineteenth century architect have to do with FPGAs?” A key decision facing many system architects is which FPGA families to use in their next project. Lattice currently offers four classes of FPGAs: iCE, ECP, Mach and CrossLink. It is often tempting to think of FPGAs as just a blank canvas, ready to be filled with digital logic.

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Lattice Radiant Software

Lattice Radiant Software: Full-featured Tool Suite for Edge Designs

Posted 03/06/2018 by Choon-Hoe Yeoh

We recently introduced our next generation FPGA design software: Lattice Radiant software. Embracing our corporate mission of enabling edge connectivity and computing designs, the Radiant software was specifically created for the development of edge applications. It is a full-featured FPGA design tool suite and yet simple to use.

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SecuraShot

Designing a Wearable Body Camera with a Wireless Connector

Posted 02/20/2018 by Ehren Achee, CTO at SecuraShot Technologies

We knew what we wanted, but didn’t know how to get to a solution. We wanted to offer police officers a fully connector-less, robust body camera that could be worn throughout an entire work shift and still operate. The issue was that the camera would be capturing a lot of data throughout the day, so getting this information out without a mechanical connector had us scratching our heads. That is, until we learned about Lattice’s Snap short range wireless link technology.

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The Importance of Functional Safety

The Importance of Functional Safety

Posted 02/06/2018 by Jatinder (JP) Singh

Over the holidays, I was updating the firmware on my car, when my 12 year old walked in and asked me why I was updating the software on our car. I told him that the software was an older version, and the updated software improves some of the safety features of our car.

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CES 2018

CES 2018: Enter the Era of Intelligent Edge Devices

Posted 01/23/2018 by Elena Champion

Were you impressed by the products and technologies showcased at CES 2018? This year’s event promised to “WHOA” attendees with new gadgets from industry giants and startups alike. From the slightly odd to the “where have you been all of my life” devices, this year’s CES focused on infusing intelligence into as many aspects of our lives as possible.

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Not Your Father’s FPGA

Not Your Father’s FPGA

Posted 11/21/2017 by Doug Hunter

I keep running into engineers who say “we can’t use FPGAs because they are too big, power hungry, and expensive!” While that’s true for many FPGAs, there are some FPGAs which defy the size, power, and cost stereotype. Thanks to these pioneers, FPGAs are no longer limited to network centers and are now becoming pervasive in edge devices you interact with daily.

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Solving Embedded Challenges

Solving the Embedded Challenge of Too Many Signals and Interfaces

Posted 11/07/2017 by Joel Coplen

Building designs around state of the art microcontrollers and embedded processors brings along a specific challenge: not enough I/Os and interfaces. Today’s embedded systems have more real-time data and control requirements than ever.

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Improved FPGA Designs with Diamond 3.10

Improved FPGA Designs with Diamond 3.10

Posted 10/24/2017 by Choon-Hoe Yeoh

In our continuous quest to provide our users with the best design tools possible, we are very excited to announce the latest release of the Lattice Diamond software. The Diamond 3.10 software continues to focus on low power consumption with various power-aware design methods, supports a broader range of automotive products, and offers increased productivity and better user experience via the improved logic analyzer tool.

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A Modular Approach to Embedded Vision Prototyping

A Modular Approach to Embedded Vision Prototyping

Posted 10/10/2017 by Dirk Seidel

Imagine you’ve been given the responsibility to develop a new video bridging solution. Initially, you have a specific application in mind, but as cameras emerge in a growing number of intelligent applications, ranging from object recognition and depth perception to lane detection and collision avoidance, you know you will need prototypes for a wider variety of functions.

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Technologies for A Driverless Future

Technologies for a Driverless Future

Posted 09/12/2017 by Jatinder (JP) Singh

I took my 15-year-old to her first big concert recently - Roger Waters’ Us + Them tour. If you are wondering where am I going with the blog on automotive technologies and talking about Roger Waters, stay with me for a second. She and I both loved the concert, however, as I drove to and from the concert, I struggled with the stress of congested traffic and getting in and out of the parking lot. During those high-stress moments I imagined how wonderful it would be to have an autonomous car that would pick me up and drop me off and navigate through the mess while I could relax.

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Leveraging Advantages of the Mobile Market for Embedded Designs

Leveraging Advantages of the Mobile Market for Embedded Designs

Posted 08/29/2017 by Tom Watzka

Not so very long ago, when embedded designers wanted to reduce costs, they would turn to high-volume PC architectures to drive down development costs. Where else could they find inexpensive components proven reliable in millions of consumer applications, and backed by an ecosystem of easy-to-use design tools and open source operating systems? Today’s embedded designers in industrial, automotive, medical and other fields are now finding that the smartphone market plays a similar role. Want...

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Lattice Taught Me How to Run – From Internship to Career

Lattice Taught Me How to Run – From Internship to Career

Posted 08/15/2017 by Alana Walker

Lattice goes the distance to take care of its internal customers, its employees. Specifically, Lattice puts tremendous attention in the professional growth of its recent college graduates and supports their needs as they begin conquering the working world.

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Power Management 2.0

Power Management 2.0

Posted 08/01/2017 by Shyam Chandra

In this 6 part series we are looking at the challenges of implementing an efficient power management architecture in today’s complex circuit board designs.

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Machine Vision: Letting My Device See Me

Machine Vision: Letting My Device See Me

Posted 07/18/2017 by Jatinder (JP) Singh

The first time I read Isaac Asimov's I, Robot as a teenager, I was instantly fascinated by the humanoid robots in the stories. These machines could see, hear and interact with the surrounding world with human-like abilities. These astonishing capabilities fed my imagination. I even recall asking my dad if these machines could really “see.” Now, as an engineer, I understand the importance of machine vision and the power of "sight” for robotics.

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Implementation of Artificial Neural Networks at the Edge

Implementation of Artificial Neural Networks at the Edge

Posted 07/05/2017 by Hussein Osman

Imagine private security systems that can differentiate between an intruder and your neighbor’s dog, smart TVs that can scan the room and automatically turn off when no one is present, and cameras that can perform forensic analysis and identify suspicious behavior before a crime occurs. The applications for deploying artificial neural networks at the edge are endless. Coming up with ideas is easy, but getting to the implementation is not that simple.

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