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
Microchip to Accelerate Real-time Edge AI with NVIDIA Holoscan
PolarFire® FPGA Ethernet Sensor Bridge provides low-power multi-sensor bridging to NVIDIA edge AI platforms CHANDLER, Ariz., November 14, 2024 — To enable developers building artificial intelligence (AI)-driven sensor processing systems, Microchip Technology (Nasdaq: MCHP) has
In-cabin Sensing: Gaze Tracking and Steering Wheel Sensors
Driver monitoring systems and occupant monitoring systems operating within a vehicle are designed to enhance passenger welfare and increase the safety of vehicles. IDTechEx outlines technologies from infrared cameras and time-of-flight cameras, to potential ECG
Snapdragon Summit’s AI Highlights: A Look at the Future of On-device AI
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm Technologies sets new standards in AI performance for its latest mobile, automotive and Qualcomm AI Hub
How Do LWIR Cameras Fit Into Vehicles of Today and In the Future?
The Society of Automotive Engineers defines 6 levels (0 to 5) of autonomy available to vehicles, ranging from level 0 (no automation) to level 5 (full automation). The jump from level 2 to 3 is
What are the Key Camera Features of Retail Kiosks?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Retail kiosks, from self-checkout to interactive displays, rely on cameras to deliver seamless and efficient
Robotic Independence in Logistics
Mobile robots in logistics can be seen to work throughout an entire supply chain from manufacturing processes, to reaching consumers and shops. IDTechEx‘s report, “Mobile Robotics in Logistics, Warehousing and Delivery 2024-2044“, provides an in-depth
The Building of the New FRAMOS Campus is Completed
Campus combines research & development, production, and supportive functions under one climate-positive umbrella. Čakovec, Croatia / Munich, Germany – November 12th, 2024 – FRAMOS, the leading global expert in embedded vision, has completed its new
Electrification and Autonomy: A Semiconductor Content Boost to $1,000 per Car by 2029
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Automotive OEMs are moving upstream in the semiconductor supply chain with diverse
Advanced Semiconductor Packaging: Key Materials and Processing Trends
As semiconductor packaging technologies evolve, advanced methods like 2.5D and 3D Cu-to-Cu hybrid bonding are essential for achieving higher performance and power efficiency. However, manufacturing these technologies to meet high performance and yield standards while
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
