The global face mask detection market size is expected to reach $4. 2 billion by 2027, growing the market at 11.2% CAGR during the forecast period. Face mask detection is a technique for matching a human face from a digital image or video image to a database of faces.
New York, March 01, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Face Mask Detection Market By Component, By Application, By Technology, By Regional Outlook, Industry Analysis Report and forecast, 2021-2027” – https://www.reportlinker.com/p06240990/?utm_source=GNW
It is commonly used to verify users through identity verification services, and it works by locating and measuring facial features from a given image. Facial recognition systems, which started as a type of computer application, have been increasingly used in recent years on smartphones and in other forms of technology, such as robotics. Computerized facial recognition systems are classified as biometric because they involve the measurement of physiological properties of a human being.
Impact of COVID-19
The COVID-19 pandemic has heightened awareness of public health and safety standards aimed at stopping (or at least slowing) the spread of the coronavirus. Various preventive security measures have been implemented around the world, ranging from disinfection of public spaces/areas to severe individual quarantine at home. Wearing a face mask has been shown to be one of the most effective ways to prevent the spread of the SARS-CoV-2 coronavirus in most cases. This has led local governments and authorities in several countries to enact strict standards and regulations on face mask wearing, propelling the face mask detection system market forward. Many business sectors have experienced a downturn as a result of the COVID-19 pandemic, pushing brick-and-mortar retailers around the world to adapt their business models.
Market Growth Factors:
High implementation of face mask detection in containment areas
The COVID-19 pandemic would take some time to stabilize, which makes it important to have face mask detection systems. Several scientists and researchers have stated that the coronavirus will never be completely eradicated from the planet and will instead re-emerge as a pandemic in various regions. To limit the spread of the coronavirus and prevent it from becoming a full-fledged pandemic, rigorous preventive measures have been taken by governments, companies and individuals. Going forward, this may open up new opportunities for the face mask detection system industry.
Growing Adoption of Face Mask Detection System in Transportation Industry
Face mask detection devices have become more common in settings where COVID-19 infections are more likely, such as train stations and airports. The face mask detection system can be linked to current airport security cameras to detect travelers who do not have a proper face mask. If a person is found not to have a face covering, their photo is sent to airport officials, who will take appropriate action. If the person’s facial profile is already in the system, such as an airport employee’s face, an alert can be sent to the employee’s phone telling them to put on their face mask immediately.
Market restraining factors:
Lack of awareness and knowledge
Facial recognition is a cutting-edge technology with several applications in various fields. The technical hurdles facing the facial imaging technique require prompt attention in order to make it robust for non-laboratory applications. According to the Neurodata Lab, a dearth of useful data to train algorithms will negatively impact the growth of the industry. Traditional business practices are transformed and redefined using Emotional AI technology to improve an organization’s productivity and profit margins.
Based on components, the market is segmented into hardware and software. The software segment acquired a major share of revenue. The rapid increase in the volume of security and vertical data, as well as the increasing automation of business processes in many end-to-end industries such as retail, manufacturing, healthcare and transportation.
Based on application, the market is segmented into hospital, airport and others. Based on technology, the market is segmented into optics and electron beam. Face detection technology helps authenticate the patient’s identity by scanning their face and comparing it to the hospital’s database, preventing fraud such as someone posing as expensive medical treatment or drug dealers infiltrating hospitals.
Based on regions, the market is segmented into North America, Europe, Asia-Pacific and Latin America, Middle East & Africa. North America became the first region. This growth is attributed to the strong healthcare system and increased investment in adopting the latest technologies and devices.
The market research report covers the analysis of major market players. Key companies profiled in the report include Microsoft Corporation, NEC Corporation, Asura Technologies Ltd., Canaan, Inc., InData Labs, LeewayHertz, Mobisoft Infotech LLC, Sightcorp (Raydiant), Trident Information Systems Pvt. Ltd., and Aerialtronics (Drone Volt).
Strategies deployed in the Face Mask Detection market
March 2021: Microsoft released Spatial Analytics, part of Azure Cognitive Services. These services would provide mask detection capability to its customers and allow companies to easily collect aggregate data of the percentage of people wearing masks in a physical space to improve compliance measures.
Jan-2021: NEC Corporation has released a facial recognition system. This system would identify people wearing masks, which was allegedly 99.9% accurate and takes less than a second to verify.
December 2020: InData Labs introduced a beta version of InData Labs FaceSDK for fast and accurate face detection, recognition and tracking. The facial recognition-based SDK provides accurate detection of facial attributes in glasses, beards, headwear, mustaches, and masks.
Nov-2020: Sightcorp has partnered with Intuiface, a no-code platform dedicated to delivering rich interactive digital experiences that connect audiences to place. Under this partnership, Intuiface would access Sightcorp’s comprehensive data set in real time through the use of a freely available DeepSight Toolkit interface tool.
May-2020: NEC Corporation launches multimodal biometric authentication. This authentication incorporates face and iris recognition technologies, which have been recognized as #1 worldwide in benchmark tests for identification technologies conducted by the US National Institute of Standards and Technology (NIST). United.
Apr-2020: Microsoft has introduced an AI-powered device, which can automatically check fever and face masks. The device would help strengthen the epidemic prevention measures taken due to the pandemic.
Feb-2018: AERIALTRONICS unveils the latest version of its computer-camera PENSAR driven by artificial intelligence. Dual-spectrum computer vision platforms designed for real-time data analysis using a miniaturized NVIDIA embedded processor with 1.5 teraflops of power. This computing power, backed by the NVIDIA Jetson Module’s NVIDIA Jetson GPU processor, enables users to identify, recognize, assess and classify objects or people in real time.
Scope of the study
Market Segments Covered in the Report:
• Electron beam
• North America
o United States
o Rest of North America
o United Kingdom
o Rest of Europe
• Asia Pacific
o South Korea
o Rest of Asia-Pacific
o Saudi Arabia
o South Africa
o Rest of the LAMEA
• Microsoft Corporation
• NEC Corporation
• Asura Technologies Ltd.
• Canaan, Inc.
• InData Laboratories
• Mobisoft Infotech LLC
• Sightcorp (Radiant)
• Trident Information Systems Pvt. ltd.
• Aerientronics (Drone Volt)
• Comprehensive coverage
• The largest number of tables and figures on the market
• Subscription-based model available
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• Provided after-sales research support with 10% free customization
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