Robotics Applications for Embedded Vision
“Future Radar Technologies and Applications,” a Presentation from IDTechEx
James Jeffs, Senior Technology Analyst at IDTechEx, presents the “Future Radar Technologies and Applications” tutorial at the May 2024 Embedded Vision Summit. Radar has value in a wide range of industries that are embracing automation, from delivery drones to agriculture, each requiring different performance attributes. Autonomous vehicles are perhaps one… “Future Radar Technologies and Applications,”
Using Generative AI to Enable Robots to Reason and Act with ReMEmbR
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by projecting text and images into the same embedding space. They can take unstructured multimodal data, reason over
“Building Meaningful Products Using Complex Sensor Systems,” a Presentation from DEKA Research & Development
Dirk van der Merwe, Autonomous Robotics Lead at DEKA Research & Development, presents the “Building Meaningful Products Using Complex Sensor Systems” tutorial at the May 2024 Embedded Vision Summit. Most complex sensor systems begin with a simple goal—ensuring safety and efficiency. Whether it’s avoiding collisions between vehicles or predicting future… “Building Meaningful Products Using Complex
“Better Farming through Embedded AI,” a Presentation from Blue River Technology
Chris Padwick, Director of Computer Vision Machine Learning at Blue River Technology, presents the “Better Farming through Embedded AI” tutorial at the May 2024 Embedded Vision Summit. Blue River Technology, a subsidiary of John Deere, uses computer vision and deep learning to build intelligent machines that help farmers grow more… “Better Farming through Embedded AI,”
Inuitive Demonstration of the M4.51 Depth and AI Sensor Module Based on the NU4100 Vision Processor
Shay Harel, field application engineer at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Harel demonstrates the capabilities of his company’s M4.51 sensor module using a simple Python script that leverages Inuitive’s API for real-time object detection. The M4.51 sensor module, based on the
Analog Devices Demonstration of the MAX78000 Microcontroller Enabling Edge AI in a Robotic Arm
Navdeep Dhanjal, Executive Business and Product Manager for AI microcontrollers at Analog Devices, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Dhanjal demonstrates visual servoing in a robotic arm enabled by the MAX78000 AI microcontroller. The MAX78000 is an Arm-M4F microcontroller with a hardware-based convolutional
Inuitive Demonstration of a RGBD Sensor Using a Synopsys ARC-based NU4100 AI and Vision Processor
Dor Zepeniuk, CTO at Inuitive, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Zepeniuk demonstrates his company’s latest RGBD sensor, which integrates RGB color sensor with a depth sensor into a single device. The Inuitive NU4100 is an all-in-one vision processor that supports simultaneous AI-powered
Why Ethernet Cameras are Increasingly Used in Medical and Life Sciences Applications
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we will uncover the current medical and life sciences use cases in which Ethernet cameras are integral. The pace of technological transformations in medicine and life sciences is rapid. Imaging technologies used
Upcoming Webinar Explores the Role of GMSL2 Cameras in Autonomous Systems
On Thursday, July 11, 2024 at 10:00 am PT (1:00 pm ET), Alliance Member companies e-con Systems and Analog Devices will co-deliver the free webinar “The Role of GMSL2 Cameras in Autonomous Systems – How It Enables Functional Safety.” From the event page: Get expert insights on GMSL2 technology, its functional safety benefits, applications in
Basler AG Acquires Stake in Roboception GmbH
Computer vision expert Basler and 3D vision specialist Roboception strengthen existing cooperation by acquiring a 25.1% stake and plan to expand the 3D solutions business for factory automation, robotics and logistics. Ahrensburg, June 12, 2024 – Basler AG, a leading supplier of image processing components for computer vision applications, has acquired 25.1 % of the
Using D3 mmWave Radar Sensors with Robot Operating System (ROS)
This blog post was originally published by D3. It is reprinted here with the permission of D3. (Note: This article was written by a human being without the aid of AI, however, at D3 we use AI heavily for robotics and other applications!) Introduction Robot Operating System (ROS)is a common open source starting point for
Ensuring Perimeter Security Using Camera-based Smart Surveillance Systems
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. Perimeter security is becoming an increasing reason for concern in the industrial and commercial world since a security breach can have a long-lasting negative impact on the affected entity. From warehouses to data centers, construction sites, and
Ambarella’s Latest 5nm AI SoC Family Runs Vision-language Models and AI-based Image Processing With Industry’s Lowest Power Consumption
CV75S SoCs Add CVflow® 3.0 AI Engine, USB 3.2 Connectivity and Dual Arm® A76 CPUs for Significantly Higher Performance in Security Cameras, Video Conferencing and Robotics SANTA CLARA, Calif., April 8, 2024 — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced during the ISC West security expo, the continued expansion of its
Navigating the Future: How Avnet is Addressing Challenges in AMR Design
This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. Autonomous mobile robots (AMRs) are revolutionizing industries such as manufacturing, logistics, agriculture, and healthcare by performing tasks that are too dangerous, tedious, or costly for humans. AMRs can navigate complex and dynamic environments, communicate with other devices
AI Chips and Chat GPT: Exploring AI and Robotics
AI chips can empower the intelligence of robotics, with future potential for smarter and more independent cars and robots. Alongside the uses of Chat GPT and chatting with robots at home, the potential for this technology to enhance working environments and reinvent socializing is promising. Cars that can judge the difference between people and signposts
Qualcomm Announces Breakthrough Wi-Fi Technology and Introduces New AI-ready IoT and Industrial Platforms at Embedded World 2024
Highlights: Qualcomm Technologies’ leadership in connectivity, high performance, low power processing, and on-device AI position it at the center of the digital transformation of many industries. Introducing new industrial and embedded AI platforms, as well as micro-power Wi-Fi SoC—helping to enable intelligent computing everywhere. The Company is looking to expand its portfolio to address the
Fixed-focus vs. Autofocus Lenses: How to Choose the Best Lens for Your Application
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, you’ll learn about these two lens types with key insights into their attributes and best-use scenarios in the world of embedded vision. Embedded vision systems rely heavily on the capabilities of their
Benchmarking Camera Performance on Your Workstation with NVIDIA Isaac Sim
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots are typically equipped with cameras. When designing a digital twin simulation, it’s important to replicate its performance in a simulated environment accurately. However, to make sure the simulation runs smoothly, it’s crucial to check the performance
