The global demand for robotics has been shifting back and forth over the past years, with the pandemic-driven sales boom followed by stagnation in 2024. However, after a year of stagnation, the entire industry is set to witness a significant recovery, driving double-digit revenue growth by the end of a decade. According to data presented […]
The integration of MIPI A-PHY into DesignCore® Series Cameras will accelerate time-to-market for customers developing performance-critical products for robotics, industrial vehicles, and other embedded vision applications. Rochester, NY – October 8th, 2024 – D3 Embedded, a global leader in embedded vision systems design and manufacturing, today announced that it has partnered with Valens Semiconductor, a
Although the United States and China have been in a tech race for decades, battling for supremacy in critical areas of technology that will shape the future of the global economy, including artificial intelligence and robotics, the two countries lose the race with Europe when it comes to robotics sector growth. According to data presented
Levon Budagyan, CEO of Waveye, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Budagyan demonstrates his company’s ultra-high resolution LIR imaging technology, focused on key robotics applications: Robust, privacy-preserving human detection for robots 4D microwave imaging in high resolution for indoor
Waveye Demonstration of Ultra-high Resolution LIR Imaging Technology Read More +
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,”
“Future Radar Technologies and Applications,” a Presentation from IDTechEx Read More +
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
Using Generative AI to Enable Robots to Reason and Act with ReMEmbR Read More +
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
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,”
“Better Farming through Embedded AI,” a Presentation from Blue River Technology Read More +
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
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
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