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The global AI-based fever detection camera market size is USD1.28 billion by 2020 and is projected to reach USD 2.19 billion by 2027, exhibiting a CAGR of 8.0% during the forecast period.
The worldwide surge in the growth of corona infected people has led to the emergence of advanced artificial intelligence-based fever detection cameras to monitor and detect human body temperature. Vaccine for coronavirus is still in its development stage and hence, the only way to reduce the spread of this pandemic is to isolate the infected person from the crowd. This type of camera is being considered as an efficient and effective device to identify a person with high temperature as fever is one of the symptoms of coronavirus. An individual with high temperature is further screened with virus-specific tests. Most of the airports, hospitals, factories, and other public places have deployed this camera to scan the crowd and protect the health of their employees and other people. For instance, in April 2020, Kogniz, Inc. launched an AI-based fever detection camera that can scan large groups or crowds to identify people having fever, so that they can be isolated.
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The Proliferation of Temperature Detection Cameras at Crowded Places is a Prominent Trend
Since the coronavirus is spreading at a fast pace and the vaccine is still under the development stage, minimizing the infection rate by isolating the infected person is the only major step that can be taken as of now. AI-based fever detection cameras are playing a vital role in this situation by scanning and detecting people with high temperatures. These cameras are swiftly being deployed by transport authorities, governments, hospitals, and retailers around the world to scan and identify the person with high body temperature. Airports, in particular, are rapidly deploying these cameras as part of their screening measures for flight crews and passengers. These cameras can scan a crowd of around 1,500 people in an hour without depending on human interaction. It is a quick way to screen people with high temperatures so that they can be moved for further testing processes.
By deploying these cameras, airports can safely conduct their business.
Rapid Spread of Coronavirus Across the World to Drive the Market Growth
The rapid spread of coronavirus along with the unavailability of vaccine is putting immense stress on the global health system. To reduce this stress to some extent, the tech companies have come up with AI-enabled fever detection cameras as fever is the earliest symptom of COVID-19. These cameras are designed to provide real-time updates of a person’s body temperature. Unlike the conventional thermal cameras, AI-powered fever cameras can detect a person within the crowd with high accuracy of temperature screening, sending an immediate alert automatically to the officials.
Thus, the demand for these cameras to detect people with high temperature among the crowd has increased as coronavirus is spreading across the world.
Temperature Variance and Accuracy Issues Are Expected to Obstruct Growth
Although, some manufacturers claim camera detection accuracy to be as precise as 0.3°C, however, practically, this accuracy level is likely to be overinflated. The cameras used to detect temperatures are usually positioned perpendicular to the person. This reduces the possibility of an accurate reading, as the temperature of the side body gets measured, which typically has an inferior temperature reading. Furthermore, environmental factors heavily impact the temperature of the body.
Beyond accuracy and temperature, variance issues and high cost associated with the AI-based fever detection cameras are obstructing some of the companies to shift from conventional cameras to advanced cameras.
Turret/Bullet Cameras Segment to Hold the Largest AI-based Fever Detection Camera Market Share
On the basis of type, the market is bifurcated into turret/bullet camera and handheld camera.
Among these camera types, the turret/bullet camera segment is estimated to hold the largest share as they prevent the risk and cost of employing staff with handheld devices at entrances to measure individual temperatures. These cameras are usually mounted on a wall and are mainly deployed in areas such as building entrances, airports, factories, and commercial facilities. These cameras can scan till 8-30 feet distance.
However, the handheld cameras segment is expected to exhibit the highest CAGR during the forecast period. These cameras can be connected to the PC and smartphones and can be used at a 3-6-feet distance. They can also be mounted on a tripod for portability.
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Public Places Segment to Exhibit the Highest CAGR During Forecast Period
Based on end user, the market has been segmented into airports, hospitals, public places, enterprises/factories, banks, and others. Among these, the airports segment is estimated to hold the largest market share, whereas the public places segment is projected to be the fastest-growing segment during the forecast period.
AI-based fever detection cameras are mainly employed in crowded places to identify the person with high temperatures. These cameras are capable of scanning people who enter with or without a mask. These devices speed up the processes at facilities and also notify the authorities if higher temperature person is recognized. They help the facility to isolate the person from the crowd. These cameras are expected to help businesses such as grocery stores and enterprises to operate their essential functions with minimum risk.
North America AI-Based Fever Detection Camera Market Size, 2020 (USD Billion)
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Geographically, the market is categorized into five major regions, namely, North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America. They are further categorized into countries.
Among these regions, North America followed by Europe are projected to capture the highest market share as countries in these regions such as the U.S., Germany, and the U.K. have the highest numbers of coronavirus cases and are the early adaptors of advanced technologies. In the current scenario, the U.S. tops the list of the greatest number of corona infected people followed by Europe. To minimize the spread, tech companies have invented AI-based fever detection cameras to detect a person with fever among the crowd. The companies are also researching and looking forward to utilizing other advanced technologies to minimize the spread of the disease.
Asia Pacific is projected to be the fastest-growing region during the forecast period. Many Asian countries are also largely impacted by the pandemic. Like the U.S. and the European countries, the companies in the Asian countries are also developing these cameras that can be deployed at public places, hospitals, and airports.
Similarly, the Middle East and Africa and Latin America are expected to show significant growth in the coming years.
Honeywell International, Inc. Aims at Launching Innovative Products to Compete in the Market
Honeywell International, Inc. considers AI as an important technology in connected systems and buildings for safety and security purposes. AI is expected to continue to deliver a more accurate assessment of the potential threats now and in the future.
Companies Such as Athena Security, Inc., Kogniz, Inc., & Scylla Are Focusing on New Product Development and Launches
Companies across the world are continuously trying to innovate their product portfolio by incorporating advanced technologies such as AI, big data, and cloud to lessen the spread of disease. These companies have come up with a product that can quickly scan visitors and employees as they enter facilities. The Ministry of Industry and Information Technology advised the AI companies to come and work together to develop solutions to prevent and control the novel coronavirus pandemic. To date, the FDA-approved temperature-sensing thermal cameras and solutions are very few in the AI-based fever detection camera market.
The market research report covers qualitative and quantitative insights on AI-based fever detection cameras and the detailed analysis of market size & growth rate for all possible segments in the market.
An Infographic Representation of AI-Based Fever Detection Camera Market
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Along with this, the global AI-based fever detection camera market research report provides an elaborative analysis of market dynamics, emerging trends, and competitive landscape. Key insights offered in the report are the adoption of AI-based fever detection camera by individual segments, recent industry developments such as partnerships, mergers & acquisitions, consolidated SWOT analysis of key players, Porter’s five forces analysis, business strategies of leading market players, macro and micro-economic indicators, and key industry trends.
Base/ Estimated Year
Value (USD billion)
As per Fortune Business Insights, the global market is predicted to reach USD 2.19 billion by 2027 with a CAGR of 8.0% (2020 -2027).
In 2020, the market value is USD 1.28 billion.
The market is projected to grow at a CAGR of 8.0% during the forecast period (2020-2027).
The handheld cameras segment is expected to show the highest CAGR owing to their ability to be connected to PC and smartphones
North America dominated the market owing to the early adaption of advanced technologies.
The turret/bullet cameras segment leads the market as they avoid the risk and cost of employing staff with handheld devices at entrances to measure individual temperatures.
The public places segment is the fastest-growing segment in the market as it is expected to help businesses such as grocery stores and enterprises to operate their essential functions with minimum risk.
Temperature variance and accuracy issues are set to obstruct the market growth.
Rapid spread of coronavirus across the world is driving the growth of the market.
Some of the key players in the market are Scylla, Hangzhou Hikvision Digital Technology Co., Ltd., Altoros, Athena Security, Inc., Mantra Softech (India) Pvt. Ltd, Kogniz, Inc., FLIR Systems, Inc., and Platinum CCTV.
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