Press Release

Global AI-based Fever Detection Camera Market to Grow at a CAGR of 6.1% During the Period 2024-2032, Driven by the need to Identify Possibly Sick Individuals among Masses

Global AI-based Fever Detection Camera Market

According to a new report by EMR titled, ‘Global AI-based Fever Detection Camera Market Report and Forecast 2024-2032’, the global AI-based fever detection camera market is expected to grow at a CAGR of 6.1% during the period 2024-2032, driven by the need to identify potentially sick people.

The reopening of society and restoration to relative normalcy in the wake of the COVID-19 pandemic depends on the ability to control transmission, maintain social separation, simplify contact tracing, and identify sick and infected people. A situation like COVID-19 requires organisations to keep their employees safe, but they also need to find ways to avoid having to post staff at gates and conduct fever checks one-by-one. Scalable methods and solutions are also required by governments to minimize the costs and risks of deploying workers with portable thermal instruments at gates or checkpoints to measure individual temperature levels. Thus, the need for governments and public and private establishments to identify potentially ill or infected individuals among employees, staff, visitors and the general public and be ready for any future outbreak such as COVID-19 is expected to drive the global market for AI-based fever detection cameras. North America, Europe, and the Asia-Pacific region are likely to be the primary markets for such AI-based fever detection systems.

 

Governments and individuals around the world have been forced to rethink their crisis management capabilities and approaches following the emergence of COVID-19. The outbreak has also prompted them to devise new strategies and tactics for coping with future crises. Indeed, a major disruptive event that has a substantial impact on the global economy can have a lasting impact on people's daily lives and corporate practices, causing an essentially permanent shift in many aspects of life.

 

The COVID-19 outbreak has prompted companies to come up with new ways to manage crisis driven consequences. AI-based cameras capable of detecting fever an example of such solutions. During a COVID-19-like crisis, it is critical that organisations have the ability to quickly identify people who may be sick; one approach to this end is to recognise those with fever. Prolonged use of hand-held heat guns is inconvenient, cumbersome, and expensive. With the advent of advanced AI-based cameras, however, individual temperature may be detected in high-flow circumstances more efficiently, and suspicious cases evaluated further.

 

AnyConnect Smarter AI™ Bio Thermal Camera line-up is an AI-driven, high-throughput mass fever detection system that offers high-accuracy body temperature measurements with the help of its high and ultra-high definition optical imager and high-accuracy radiometric thermal imager. The system is equipped with a supercomputer-grade AI Accelerator and sensors which enable AnyConnect Smarter AI™ Bio Thermal Camera to perform advanced AI-driven detection, like identifying people coughing, sneezing, etc., at high throughput.

 

In 2020, Staqu, a Gurgaon-based start-up, launched a new AI- powered thermal camera under its video analytics platform, JARVIS. The system would detect anyone with a body temperature of above 37° C and examine heat signatures directly through the cameras, enabling authorities to recognize and evaluate possibly infected individuals. The camera range was 100 meters and could identify several people at the same time.

 

VMukti, an Ahmedabad based firm in India, focuses on AI, ML and IoT transformation and live video communication across the world. The firm offers a comprehensive preventive solution to protect people, surfaces, and surroundings from COVID-19. VMukti thermal cameras are driven by advanced AI and body temperature measurement technology to maximize security-system efficiency.

 

AI-based fever detection cameras have applications in several sectors, including establishments such as defence, education, entertainment, food & beverages, government, healthcare, offices, transportation, etc.

 

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Key Findings of the Report:

  • The growing need to identify and isolate infected people is expected to drive the market.
  • AI-based fever detection systems could become a regular part of greater systems designed to prevent or manage future crises. This could stimulate the global market for such systems.
  • Noth America, Europe and Asia Pacific are expected to be key markets.

 

Market Analysis by Type, End-user, and Region:

  • By type, the market is segmented into Turret/Bullet Cameras, and Handheld Cameras.
  • By end-user, the market is classified into Airports, Hospitals, Public Places, Enterprises/Factories, Banks, and Others.
  • By region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.

 

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