Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
‘A Glimpse Into the Future of the Car’: Takeaways from Day 2 of Snapdragon Summit 2024
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Qualcomm Oryon CPU and the Snapdragon Elite name make its way to the automotive space, signaling
Autonomous Vehicle Industries Now and In 10 Years
After years of development, numerous hurdles, and uncountable unfulfilled promises, it looks like the robotaxi industry is finally taking shape. Over the past couple of years, IDTechEx has reported on the emergence of commercial robotaxi
How NVIDIA Jetson AGX Orin Helps Unlock the Power of Surround-view Camera Solutions
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autonomous vehicles, such as warehouse robots, rely on precise maneuvering. NVIDIA Jetson AGX Orin™-powered surround-view
The Future of Sensor Technology
The sensor technology landscape is rapidly evolving, driven by societal shifts and technological advancements. As we look towards 2035, the demand for sensors is expected to grow significantly across various sectors, including automotive, industrial, healthcare,
Chiplets: Revolutionizing Semiconductor Design and Manufacturing
In the rapidly evolving world of semiconductors, chiplet technology is emerging as a groundbreaking approach that addresses many of the challenges faced by traditional monolithic System-on-Chip (SoC) designs. As Moore’s Law slows down, the semiconductor
Streamlining AI Inference Performance and Deployment with NVIDIA TensorRT-LLM Chunked Prefill
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In this blog post, we take a closer look at chunked prefill, a feature of NVIDIA TensorRT-LLM
Developing and Deploying Vision-based Multi-camera Solutions
This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Over the past several years, with strong advances in technology, Artificial Intelligence (AI) and Machine Learning (ML)
Autonomy and Eliminating Emissions – Exploring the Automotive Future
The future of the automotive industry is heading towards the acceptance of automation and the enforcement of electrification, with IDTechEx‘s latest report, Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts covering all the latest and future
Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a
Technologies
How to Optimize and Accelerate GPUs for Graphical and Machine Vision Processing
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. How to optimize and accelerate GPUS: tools, techniques, and real-world scenarios Machine learning (ML) systems analyze tremendous amounts of data to identify hidden patterns and make predictions based on those patterns. This requires a very
Join e-con Systems’ Exclusive Webinar In Collaboration With Advantech
e-con Systems is excited to invite you to an exclusive joint webinar on “Unlocking AI at the Edge: How Embedded Vision Is Helping Take Giant Strides” in partnership with Advantech. Learn how embedded vision is transforming real-time decision-making across industries. Dec 17, 2024, Tuesday – 11:00 AM – 12:00 PM (CET) or Dec 18th, 2024,
Qualcomm Technologies’ IoT Strategy: A New Approach, a New Opportunity
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our new blueprint for enabling our partners and end customers to bring more smarts to the edge was one of the highlights of Investor Day Everything around us is either already a lot smarter or aiming to
Applications
Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB
Driverless Routes, Roboshuttles and Autonomous Buses
Automation can vary from level 0 to level 5 within the automotive industry, from sole reliance on driver control, all the way to completely driverless vehicles. Roboshuttles and autonomous buses will likely strive for level 5 operation as a long-term goal but are currently aiming for level 4, where driverless operation can take place within
Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. In Part 2
Functions
Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB
Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. In Part 2
Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Imagine you’re a developer on your first day at a new job. You’re handed a state-of-the-art sensor designed to capture data for an autonomous vehicle. The excitement quickly turns to anxiety as you realize the
