This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In microscopic imaging, pixelation is one of the most commonly occurring artifacts, as the camera subjects are micro-level. Pixelation artifact occurs when the magnification surpasses an image sensor’s capabilities, by which indistinct pixel boundaries appear. […]
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging. Blooming or saturation
What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them Read More +
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. 3D scanning finds applications in multiple domains such as textile design, 3D printing, home remodeling, virtual reality, manufacturing, etc. Medical science hugely benefits from camera-enabled 3D scanning given that it is a non-invasive technique. 3D scanning is
Multi-camera 3D Scanning in Medical Applications Using Embedded Cameras Read More +
Versatile, wireless and secure system-on-module based on the STMicroelectronics STM32MP25 processor improves efficiency, reduces costs and enables edge processing for innovative new devices MINNEAPOLIS, April 4, 2024 – Digi International (NASDAQ: DGII, www.digi.com), a leading global provider of Internet of Things (IoT) connectivity products and services, is poised to introduce the wireless and highly power-efficient
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 are exploring types of skin analyzers prevalent in the industry and giving insights on the kind of cameras that should be used to get the best results. In the skincare industry,
A One-stop Solution for Digital Skin Analyzers Read More +
Software reading scans and online management of mental health are examples of digital healthcare that keep up with the modernization of the world, where efficiency and patient satisfaction are two key benefits. The weight of increasing demand for services could be lifted as more options become available for patients to seek treatment, and communication across
AI, Telehealth and Communications: Digital Healthcare Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users with such
Edge AI in Medical Applications Read More +
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
Fixed-focus vs. Autofocus Lenses: How to Choose the Best Lens for Your Application Read More +
Healthcare systems around the world are being put under increasing strain every year. Key challenges they face include overburdened medical staff and a steady rise in patients with chronic health conditions that require high levels of care. Digital health has long been proposed as a solution to both problems, but the adoption of digital health
A Digital Health Progress Report and the Future of Healthcare Delivery Read More +
For more information, visit https://www.idtechex.com/en/research-report/digital-health-and-artificial-intelligence-2024-2034-trends-opportunities-and-outlook/985. Telehealth, telemedicine, remote patient monitoring, consumer health wearables, digital therapeutics, & artificial intelligence in medical diagnostics Over the past decade, digital health and artificial intelligence (AI) have changed the delivery of healthcare. With more health data collected today than ever before, companies around the world are developing digital technologies, including
Digital Health and Artificial Intelligence 2024-2034: Trends, Opportunities, and Outlook Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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