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.

“A Computer Vision-Based Personal Trainer That Runs On Your Phone,” a Presentation from Twenty BN

Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the “Computer Vision-Based Personal Trainer That Runs On Your Phone” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Memisevic describes Twenty BN’s journey towards building an AI-powered personal trainer that runs on your phone. The trainer takes the form of an

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“Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking,” a Presentation from Seedland

Kit Thambiratnam, General Manager of the Seedland AI Center, presents the “Multi-modal Re-identification: IOT + Computer Vision for Residential Community Tracking” tutorial at the September 2020 Embedded Vision Summit. The recent COVID-19 outbreak necessitated monitoring in communities such as tracking of quarantined residents and tracking of close-contact interactions with sick individuals. High-density communities also have

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Intel’s 2021 Predictions for the Edge

Intel has been transforming computing at the edge for years – delivering customer value across a range of industries from health and life sciences to industrial to retail to telecommunications and beyond. The next few years promise to be exciting as analysts predict that by 2023, approximately 75% of data will be created outside the

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What About Privacy?

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. In an age of universal surveillance, our sensing camera solutions offer a privacy-focused alternative. Security cameras are seemingly everywhere, all around us. They’ve become so ubiquitous that we barely even notice them anymore, monitoring and recording us

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Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services

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“Enabling Embedded AI for Healthcare,” a Presentation from VeriSilicon

Shang-Hung Lin, Vice President of Machine Learning and Neural Processor Product Development at VeriSilicon, presents the “Enabling Embedded AI for Healthcare” tutorial at the September 2020 Embedded Vision Summit. Wearable electronics have started to become part of our daily lives, in the form of watches, wristbands, fitness trackers and the like. Advances in sensor design

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Thermal Imager Industry: The Chinese Triumph

OUTLINE: Market figures & trends: 2020 has been exceptional for thermal imaging and sensing technologies. The thermal imaging market will reach around US $7.5 billion market value by 2025, at an 8% CAGR from 2019 to 2025. The thermal detector market will jump in 2020 by 23% in value to reach US$362 million. Smart building

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T3S Thermal Camera from IRAY Technology: a Good Value-for-Money Product, but…

OUTLINE: T3S thermal camera from IRAY – Details: Pixel resolution: 384×288 – Pixel pitch: 17µm – Thermal resolution: <60mK – Temperature measurement accuracy: +/-3% Those specifications have been tested in Piséo’s report. Evaluation from Piséo: Good value-for-money product but it requires some improvements. Good image quality provided thanks to a very good bolometric sensor. IRAY’s

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OmniVision Launches World’s First Complete Medical Imaging Subsystems for Single-Use Endoscopes and Catheters with Addition of OVMed® Cables

Combined with Portfolio of Medical CameraCubeChip™ Modules and OVMed ISP Boards, New Line of Cables Enables OmniVision to Uniquely Provide Optimally Tuned End-to-End Imaging Subsystems SANTA CLARA, Calif. – Nov. 16, 2020 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced at CompaMed the OVMed® Cable line of medical endoscope,

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