The North America Face Mask Detection Market is expected to witness market growth of 9.6% CAGR during the forecast period (2021-2027).
Face detection utilizes the typical machine learning algorithms and the design of handicraft features to train successful classifiers for detection and recognition. This method has a number of drawbacks, including a high level of feature complexity and low detection accuracy. Face identification approaches based on deep convolutional neural networks (CNN) have been popular in recent years as a way to increase detection performance. Face detection is one of the important parts played in Computer Vision and Pattern Recognition. In the past few years, a huge number of researches have contributed to the enhancements of face detection algorithms.
The US is one of the majorly hit countries by the COVID-19 pandemic. The number of deaths from this virus and constantly increasing COVID cases has compelled the US government to implement various regulations to overcome this crisis and the deployment of face mask detection systems is one of the major steps taken by the government. Traveling across this region was restricted by the government and thus, it is important to monitor people traveling to the region. Many companies and organization have returned to their operation on premises but taking precautionary measures is still very important and hence, these organizations are highly implementing face mask detection software to keep a check on their staff.
The US market dominated the North America Face Mask Detection Market by Country 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $1,006.8 million by 2027. The Canada market is anticipated to grow at a CAGR of 12.1% during (2021 - 2027). Additionally, The Mexico market is expected to showcase CAGR of 11.1% during (2021 - 2027).
Based on Component, the market is segmented into Hardware and Software. Based on Application, the market is segmented into Hospital, Airport, and Others. Based on Technology, the market is segmented into Optical and E-beam. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. 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).
Face detection utilizes the typical machine learning algorithms and the design of handicraft features to train successful classifiers for detection and recognition. This method has a number of drawbacks, including a high level of feature complexity and low detection accuracy. Face identification approaches based on deep convolutional neural networks (CNN) have been popular in recent years as a way to increase detection performance. Face detection is one of the important parts played in Computer Vision and Pattern Recognition. In the past few years, a huge number of researches have contributed to the enhancements of face detection algorithms.
The US is one of the majorly hit countries by the COVID-19 pandemic. The number of deaths from this virus and constantly increasing COVID cases has compelled the US government to implement various regulations to overcome this crisis and the deployment of face mask detection systems is one of the major steps taken by the government. Traveling across this region was restricted by the government and thus, it is important to monitor people traveling to the region. Many companies and organization have returned to their operation on premises but taking precautionary measures is still very important and hence, these organizations are highly implementing face mask detection software to keep a check on their staff.
The US market dominated the North America Face Mask Detection Market by Country 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $1,006.8 million by 2027. The Canada market is anticipated to grow at a CAGR of 12.1% during (2021 - 2027). Additionally, The Mexico market is expected to showcase CAGR of 11.1% during (2021 - 2027).
Based on Component, the market is segmented into Hardware and Software. Based on Application, the market is segmented into Hospital, Airport, and Others. Based on Technology, the market is segmented into Optical and E-beam. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. 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).
Scope of the Study
Market Segments Covered in the Report:
By Component
- Hardware
- Software
By Application
- Hospital
- Airport
- Others
By Technology
- Optical
- E-beam
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- NEC Corporation
- Asura Technologies Ltd.
- Canaan, Inc.
- InData Labs
- LeewayHertz
- Mobisoft Infotech LLC
- Sightcorp (Raydiant)
- Trident Information Systems Pvt. Ltd.
- Aerialtronics (Drone Volt)
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 4. North America Face Mask Detection Market by Component
Chapter 5. North America Face Mask Detection Market by Application
Chapter 6. North America Face Mask Detection Market by Technology
Chapter 7. North America Face Mask Detection Market by Country
Chapter 8. Company Profiles
Companies Mentioned
- Microsoft Corporation
- NEC Corporation
- Asura Technologies Ltd.
- Canaan, Inc.
- InData Labs
- LeewayHertz
- Mobisoft Infotech LLC
- Sightcorp (Raydiant)
- Trident Information Systems Pvt. Ltd.
- Aerialtronics (Drone Volt)
Methodology
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