New Technology Allows Identification Through a Mask
|
By HospiMedica International staff writers Posted on 07 Apr 2020 |
|
Image: AI enhance facial recognition algorithms can identify people wearing masks (Photo courtesy of Herta)
Following the worldwide outbreak of coronavirus, an improved facial recognition solution can correctly identify people who wear facial masks.
The Herta (Barcelona, Spain) facial recognition algorithms are based on deep learning (DL) technology, providing very high identification rates, especially in verification tasks that involve partial occlusions issues in crowded environments and when automatic passenger identification systems are used, such as border passport control, transportation, healthcare, entertainment venues, and sports stadiums. Thanks to the new algorithm, it will not be necessary for the person to remove the mask, avoiding possible contagion or long waiting times.
The DL algorithms involved apply banks of convolutional and non-linear filters over an original image. Each layer of application processes the image and extracts higher-order information. After many layers of these filter banks (typically between tens and hundreds), the faces are encoded directly into small templates which are very fast to compare. All face alignment, frontalization, visual features, localization of regions of interest, etc., are done internally by the algorithm itself. It is worth noting that the most differential part of the human face is in the eye region.
“The company had been working on the issue of partial occlusions for some time and, following the worldwide outbreak of CoVid19, development has been accelerated to launch a version of the software that helps provide an accurate identification under these conditions,” said the company in a statement. “Herta expects that the impact of this new technology in the market will be very important worldwide and that it will be used massively in environments such as transportation, health, government, events, or in the gaming sector.”
Facial recognition systems use biometrics to map facial features from a photograph or video. The geometry of the face is then analyzed, with key factors including interpapillary distance and the distance from forehead to chin. In all, there are over 65 quantifiable features that can be used to identify a face, generating a unique facial signature.
Related Links:
Herta
.jpg)
The Herta (Barcelona, Spain) facial recognition algorithms are based on deep learning (DL) technology, providing very high identification rates, especially in verification tasks that involve partial occlusions issues in crowded environments and when automatic passenger identification systems are used, such as border passport control, transportation, healthcare, entertainment venues, and sports stadiums. Thanks to the new algorithm, it will not be necessary for the person to remove the mask, avoiding possible contagion or long waiting times.
The DL algorithms involved apply banks of convolutional and non-linear filters over an original image. Each layer of application processes the image and extracts higher-order information. After many layers of these filter banks (typically between tens and hundreds), the faces are encoded directly into small templates which are very fast to compare. All face alignment, frontalization, visual features, localization of regions of interest, etc., are done internally by the algorithm itself. It is worth noting that the most differential part of the human face is in the eye region.
“The company had been working on the issue of partial occlusions for some time and, following the worldwide outbreak of CoVid19, development has been accelerated to launch a version of the software that helps provide an accurate identification under these conditions,” said the company in a statement. “Herta expects that the impact of this new technology in the market will be very important worldwide and that it will be used massively in environments such as transportation, health, government, events, or in the gaming sector.”
Facial recognition systems use biometrics to map facial features from a photograph or video. The geometry of the face is then analyzed, with key factors including interpapillary distance and the distance from forehead to chin. In all, there are over 65 quantifiable features that can be used to identify a face, generating a unique facial signature.
Related Links:
Herta
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
LED Surgical Lamp
ACEMST35/57
Semi‑Automatic Defibrillator
Heart Save AED (ED300)
Channels
Critical Care
view channel
Hydrogel Biosensor Detects and Differentiates Blood Circulation Complications
Flexible electronic devices are increasingly used in healthcare to monitor physiological signals directly from the skin. However, designing sensors that adhere securely during monitoring while avoiding... Read more
Spray-Type Technology Coats Transplant Organs with Immunosuppressants to Prevent Rejection
Organ transplantation is often the only life-saving option for patients with severe organ failure. However, immune rejection remains one of the biggest obstacles to successful transplantation.... Read more
Surgical Techniques
view channel
Surgical Robot Makes Complex Liver Tumor Surgery Safer and Less Invasive
Tumors located in the caudate lobe of the liver present a major surgical challenge. This deep section of the liver sits close to critical blood vessels, making traditional surgical access difficult and... Read more
Fluorescence Probe Paired with Engineered Enzymes Lights Up Tumors for Easier Surgical Removal
Successful cancer surgery relies on a surgeon’s ability to remove tumors while preserving as much healthy tissue as possible. To assist with this, surgeons often use fluorescent dyes that cause cancer... Read more
Patient Care
view channel
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more
VR Training Tool Combats Contamination of Portable Medical Equipment
Healthcare-associated infections (HAIs) impact one in every 31 patients, cause nearly 100,000 deaths each year, and cost USD 28.4 billion in direct medical expenses. Notably, up to 75% of these infections... Read more
Portable Biosensor Platform to Reduce Hospital-Acquired Infections
Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more
First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read moreHealth IT
view channel
EMR-Based Tool Predicts Graft Failure After Kidney Transplant
Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more
Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors
The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read more
Business
view channel
Quantum Surgical Acquires NeuWave from Johnson & Johnson
Quantum Surgical announced that it has acquired NeuWave Medical from Johnson & Johnson. NeuWave’s microwave ablation system is used in percutaneous tumor ablation procedures, and the acquisition supports... Read more
Medtronic to Acquire Coronary Artery Medtech Company CathWorks
Medtronic plc (Galway, Ireland) has announced that it will exercise its option to acquire CathWorks (Kfar Saba, Israel), a privately held medical device company, which aims to transform how coronary artery... Read more
