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
What is Depth of Field and Its Relevance in Embedded Vision?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Depth of Field (DoF) is crucial for embedded vision since it can improve the ability
Collaborative Robots 2025-2045: Technologies, Players, and Markets
For more information, visit https://www.idtechex.com/en/research-report/collaborative-robots-2025-2045-technologies-players-and-markets/1046. Collaborative robots, a type of lightweight and slow-moving robot designed to work next to human operators without a physical fence, has gained significant momentum thanks to their flexibility and the
Web-based Tool from STMicroelectronics Accelerates AIoT Projects with Smart Sensors
Deploy models on MEMS machine-learning core for sensor node-to-cloud solutions Geneva, Switzerland, November 5, 2024 — ST AIoT Craft, a new web-based tool from STMicroelectronics, simplifies developing and provisioning node-to-cloud AIoT (Artificial Intelligence of Things)
Give AI a Look: Any Industry Can Now Search and Summarize Vast Volumes of Visual Data
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Accenture, Dell Technologies and Lenovo are among the companies tapping a new NVIDIA AI Blueprint to develop
The Global Robotaxi Market Value in 2024 Will be $174B
For more information, visit https://www.idtechex.com/en/research-report/autonomous-vehicles-market-2025-2045-robotaxis-autonomous-cars-sensors/1045. The global robotaxi vehicle market value in 2045 will be US$174 billion, growing with a 20-year CAGR of 37% between 2025 and 2045 and with a market share dominated by
“Improved Data Sampling Techniques for Training Neural Networks,” a Presentation from Karthik Rao Aroor
Independent AI Engineer Karthik Rao Aroor presents the “Improved Data Sampling Techniques for Training Neural Networks” tutorial at the May 2024 Embedded Vision Summit. For classification problems in which there are equal numbers of samples
NXP Expands Edge AI Capabilities with eIQ Software Enablement
NXP adds GenAI Flow with Retrieval Augmented Generation (RAG) fine-tuning and eIQ Time Series Studio to its eIQ AI and machine learning development software to make it easier to deploy and use AI across a
“Embedded Vision Opportunities and Challenges in Retail Checkout,” an Interview with Zebra Technologies
Anatoly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, talks with Phil Lapsley, Co-Founder and Vice President of BDTI and Vice President of Business Development at the Edge AI and Vision
Computer Vision Quarterly Snapshot – Q3 2024
Woodside Capital Partners (WCP) is pleased to share its Computer Vision and Vision AI Market Report Q3 2024, authored by Managing Partner Rudy Burger, and Associate Akhilesh Shridar. Hardware startups generally take longer to get
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
