This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Why data is expensive Data is the bedrock of any AI/ML project, and serves as the vital link between mathematical algorithms and real-world problems. And yet, we often grapple with two common data-related challenges, which are the […]
Generative AI In the Medical Domain: Not Quite Yet Read More +
Will Enable Next-Gen Imaging Solutions Across AI, Robotics, Healthcare, and Beyond SOLANA BEACH, CALIFORNIA, December 3, 2024 – Macnica Americas today announced an expansion on its strategic agreement with Sony to now distribute its cutting-edge image sensors throughout North, Central, and South America. This collaboration further enhances our extensive imaging and vision solutions offering that
Macnica Americas Announces Agreement with Sony to Distribute Sony Image Sensors Read More +
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
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
Synthetic Data is Revolutionizing Sensor Tech: Real Results from Virtual Worlds Read More +
Heather Couture, Founder and Computer Vision Consultant at Pixel Scientia Labs, presents the “Data-efficient and Generalizable: The Domain-specific Small Vision Model Revolution” tutorial at the May 2024 Embedded Vision Summit. Large vision models (LVMs) trained on a large and diverse set of imagery are revitalizing computer vision, just as LLMs… “Data-efficient and Generalizable: The Domain-specific
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
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Photobleaching is a major challenge in medical imaging, as it compromises the accuracy of fluorescent-based techniques. See how photobleaching works and find out how you can overcome this challenge to help medical applications enhance the
What Is Photobleaching, and How Does It Impact Medical Imaging? Read More +
Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Modern dentistry has been transformed by advanced cameras, aiding in diagnosis, treatment, and patient communication. High-quality intraoral cameras capture detailed images of teeth and gums, and cameras in dental loupes and surgical lights enhance procedures.
How Cameras Maximize the Power of Modern Dental Applications Read More +
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 the MAX78000 AI microcontroller performing action recognition using a temporal convolutional network (TCN). Using a TCN-based model, the MAX78000 accurately recognizes a
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