Medical Applications for Embedded Vision
Embedded vision has the potential to become the primary treatment tool in hospitals and clinics
Embedded vision and video analysis have the potential to become the primary treatment tool in hospitals and clinics, and can increase the efficiency and accuracy of radiologists and clinicians. The high quality and definition of the output from scanners and x-ray machines makes them ideal for automatic analysis, be it for tumor and anomaly detection, or for monitoring changes over a period of time in dental offices or for cancer screening. Other applications include motion analysis systems, which are being used for gait analysis for injury rehabilitation and physical therapy.
Video analytics can also be used in hospitals to monitor the medical staff, ensuring that all rules and procedures are properly followed. For example, video analytics can ensure that doctors “scrub in” properly before surgery, and that patients are visited at the proper intervals.
What are the primary vision products used in medical systems?
Medical imaging devices including CT, MRI, mammography and X-ray machines, embedded with computer vision technology and connected to medical images taken earlier in a patient’s life, will provide doctors with very powerful tools to help detect rapidly advancing diseases in a fraction of the time currently required. Computer-aided detection or computer-aided diagnosis (CAD) software is currently also being used in early-stage deployments to assist doctors in the analysis of medical images by helping to highlight potential problem areas.
Upcoming Webinar Discusses Vision-based Medical Device Development
On March 23, 2022 at 9:00 am Pacific Time, Alliance Member Company e-con systems will deliver the webinar “Develop Your Medical Devices with e‑con Cameras and i.MX8 Processors”. From the event page: One of the key challenges in developing medical devices is to choose the best camera with the right processing platform. Most medical devices
MedtecLIVE: Embedded Vision for Optical Diagnostics and Life Sciences – Now Including SWIR MIPI Modules
March 15, 2022 – At the MedtecLIVE trade fair in Stuttgart, Germany, Vision Components (booth #10-303) will showcase its latest MIPI camera modules and embedded vision systems for medical and laboratory applications such as point-of-care diagnostics. Embedded vision has significant advantages for this sector, enabling economic, versatile and, if required, portable solutions for autonomous operation
Dust Protection+: Upgrade of the MED Feature Set for the Basler MED ace Camera Series
Basler is optimizing the Dust Protection MED Feature Set of the MED ace camera series into Dust Protection+. Additional and stricter inspections of selected components for dust and other particles during the camera assembly, and of the finished camera during the final review, ensure even greater cleanliness – which results in higher image quality. Since
Xilinx Demonstration of an X-ray Classification Solution for COVID-19 and Pneumonia Detection
Quenton Hall, AI Architect at Xilinx, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Hall demonstrates an x-ray classification solution for COVID-19 and pneumonia detection. Spline.AI is collaborating with Amazon Web Services and Xilinx to deliver an open-source, open-model, x-ray classification solution for COVID-19 and
Arm Demonstration of Body Pose Tracking on Smart TVs
Mina Dimova, Staff Software Engineer at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2021 Embedded Vision Summit. Specifically, Dimova demonstrates how to move the gym to the living room by means of body pose tracking on smart TVs. The lifestyle changes we have all experienced over the past
May 2021 Embedded Vision Summit Slides
The Embedded Vision Summit was held online on May 25-28, 2021, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in PDF form. To… May 2021 Embedded Vision Summit
“A Highly Data-Efficient Deep Learning Approach,” a Presentation from Samsung
Patrick Bangert, Vice President of AI at Samsung, presents the “Highly Data-Efficient Deep Learning Approach” tutorial at the May 2021 Embedded Vision Summit. Many applications, such as medical imaging, lack the large amounts of data required for training popular CNNs to achieve sufficient accuracy. Often, these same applications suffer from an imbalanced class distribution problem
“Improving Nursing Care with Privacy-Sensitive Edge Computer Vision,” a Presentation from Kepler Vision Technologies
Harro Stokman, Chief Executive Officer and Founder of Kepler Vision Technologies, presents the “Improving Nursing Care with Privacy-Sensitive Edge Computer Vision” tutorial at the May 2021 Embedded Vision Summit. Around the world, there is a serious and growing shortage of nurses. Nursing care at night is a particular challenge because night shifts are less attractive
Case Study: Genetic Screening Using CNNs in PerceptiLabs
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. One group of scientists leveraging ML is the Buchser lab at Washington University in Saint Louis School of Medicine in the Department of Genetics. There, Dr. Buchser and his team are working in functional genomics, High-Throughput Screening,
Building Real-time Dermatology Classification with NVIDIA Clara AGX
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin