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AI-based Fever Detection Camera Patent Landscape Report and Forecast 2024-2032

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    Report

  • 200 Pages
  • August 2024
  • Region: Global
  • Expert Market Research
  • ID: 5997686
The AI-based fever detection camera market was valued at USD 2.54 billion in 2023. It is expected to grow at a CAGR of 8.1% during the forecast period of 2024-2032 and attain a market value of USD 5.12 billion in 2032. The growth is driven by innovations in AI algorithms, thermal imaging technologies, and integrated IoT solutions, which are fuelling patent activities as companies strive to protect their cutting-edge developments and maintain a competitive edge.

Patent Landscape Report Coverage

The patent analysis report for the AI-based fever detection camera landscape offers comprehensive coverage, detailing the latest innovations and technological advancements in the sector. It delves into the intricacies of intellectual property, highlighting key patents, their filing trends, and geographic distribution. This analysis is crucial for understanding the competitive dynamics, identifying emerging players, and uncovering potential areas for research and development. The report also provides insights into patent litigation and licensing activities, offering a strategic overview that is essential for stakeholders aiming to navigate the evolving industry landscape effectively.

Global AI-Based Fever Detection Camera Patent Outlook

  • Innovations in AI algorithms and thermal imaging sensors are driving a surge in patent filings. Companies are securing patents for technologies that improve the precision and efficiency of fever detection systems. The demand for integrated IoT solutions and adaptable, scalable systems across various environments is also fuelling patent activities.
  • Major companies like LG Electronics Inc. and Nvidia Corp. are leading the patent landscape. They focus on integrating advanced AI and thermal imaging technologies, AI-driven image processing, and real-time data analysis. Their continuous R&D efforts ensure these companies maintain a competitive edge in the industry.
  • The AI-based fever detection camera patent landscape is highly active in North America, Europe, and Asia-Pacific. The United States leads with over 1,200 historical patents, focusing on technological innovation. Europe, with over 900 patents, emphasizes AI-driven thermal imaging and automated detection. Asia-Pacific shows growth with over 700 patents, focusing on cost-effective and scalable solutions. Each region's unique focus highlights its contributions to the evolving patent landscape.

AI-Based Fever Detection Camera: Introduction

AI-based fever detection cameras are cutting-edge devices that utilise artificial intelligence and thermal imaging technology to detect elevated body temperatures in real time. These cameras are particularly valuable in public health settings, such as airports, hospitals, and public buildings, where they help identify individuals with potential fevers quickly and efficiently. By combining AI with advanced thermal sensors, these cameras provide accurate and non-invasive screening methods. They play a crucial role in preventing the spread of infectious diseases by enabling early detection and prompt isolation of potentially infected individuals, thereby enhancing public safety and health outcomes.
  • Innovations in AI algorithms and thermal imaging sensors are driving a surge in patent filings. Companies are securing patents for technologies that improve the precision and efficiency of fever detection systems. Patents often cover novel AI models, sensor integration techniques, and data processing methods that offer superior accuracy and rapid response times.
  • The demand for integrated IoT solutions in fever detection cameras is spurring patent activities. Companies are filing patents for systems that combine AI-based fever detection with smart technologies such as automated alerts, data analytics, and network connectivity. These patents protect innovations that enhance system interoperability, remote monitoring capabilities, and real-time data sharing across various platforms.
  • The need for adaptable and scalable fever detection solutions across different settings drives patent filings. Companies are developing and patenting bespoke technologies tailored for specific environments like hospitals, airports, and public venues. Patents in this area focus on unique design elements, versatile deployment methods, and specialized algorithms that ensure reliable performance in diverse operational conditions.
These drivers create a dynamic AI-based fever detection camera patent landscape, fostering innovations in AI algorithms, IoT integration, and customized solutions for diverse environments. This drives the development of more accurate, efficient, and versatile fever detection technologies, enhancing public health and safety.

Global AI-Based Fever Detection Camera Patent Segmentation Analysis

The report provides an in-depth analysis of the patents in this field by the following segmentation :

Analysis by Type

  • Turret/Bullet Cameras
  • Handheld Cameras
The segmentation in the AI-based fever detection camera industry by type, specifically turret/bullet cameras and handheld cameras, demonstrate notable advancements. Handheld cameras dominate the patent landscape with over 500 historical patents and 70 recent filings. This prominence is driven by their portability and ease of use. Future advancements are expected to focus on enhancing accuracy, battery life, and connectivity, ensuring handheld cameras continue to lead in innovation and application in various settings.

Analysism by End User

  • Hospitals
  • Specialty Clinics
  • Nursing Home
  • Others
The segmentation in the AI-based fever detection camera industry by end user, specifically hospitals, specialty clinics, nursing homes, and others, reveal significant innovation. Hospitals lead the patent landscape with over 600 historical patents and 90 recent filings. This dominance is attributed to the critical need for comprehensive fever detection solutions in healthcare facilities. Future advancements are likely to concentrate on improving detection speed, accuracy, and seamless integration with existing hospital infrastructure, ensuring hospitals remain at the forefront of fever detection technology adoption.

AI-Based Fever Detection Camera Patent Jurisdiction Analysis

The patent landscape for AI-Based fever detection cameras is rapidly evolving, with significant activity in the United States, Europe, and Asia. Each region reveals unique trends in patent filings and corporate involvement, reflecting regional priorities and advancements in antimicrobial materials, eco-friendly formulations, enhanced comfort, and specialized application techniques, showcasing the dynamic nature of innovation in AI-Based Fever Detection Camera technology.

  • North America leads the AI-based fever detection camera patent landscape, with the United States holding over 1,200 historical patents and 150 recent filings. The region's focus on technological innovation and strong R&D infrastructure drives patent activities. Recent patents highlight advancements in AI algorithms and integration with IoT devices. Future patent trends are expected to include enhancements in accuracy, real-time data processing, and multi-sensor integration, maintaining North America's leadership in this technology.
  • Europe's AI-based fever detection camera patent landscape is robust, with over 900 historical patents and 130 recent filings. Key countries like Germany, the United Kingdom, and France are at the forefront, focusing on AI-driven thermal imaging and automated detection systems. The European Patent Office (EPO) supports these innovations, promoting regional collaboration. Future patents are expected to address advancements in AI accuracy, energy efficiency, and compliance with stringent health regulations, ensuring Europe's significant role in this field.
  • The Asia-Pacific region shows a growing AI-based fever detection camera patent landscape, with over 700 historical patents and 100 recent filings. Countries such as China, Japan, and South Korea lead innovations, focusing on cost-effective and scalable solutions. Recent patents emphasize AI-enhanced imaging and mobile integration. Future trends in patent filings are anticipated to focus on improving affordability, deployment speed, and integration with smart city initiatives, positioning Asia-Pacific as a key player in global fever detection technology.

Patent Profile of Key Companies

The patent landscape for AI-based fever detection cameras is shaped by several key companies driving innovation and securing intellectual property. Here is an overview of their patent activities.

LG Electronics Inc.
LG Electronics Inc. is a leader in the AI-based fever detection camera patent landscape, with numerous patents focused on integrating advanced AI algorithms and thermal imaging technologies. Their innovations enhance the accuracy and reliability of fever detection, driving forward the development of cutting-edge solutions.

Nvidia Corp.
Nvidia Corp. holds a prominent position in the AI-based fever detection camera patent landscape, with patents centered on AI-driven image processing and real-time data analysis. Their continuous R&D efforts focus on improving the performance and functionality of fever detection systems, maintaining their competitive edge in the industry.

Other key players in the industry include Samsung Electronics Co Ltd, Semiconductor Energy Lab Co., Ltd., and Fujifilm Corp.

Key Questions Answered in the Global AI-Based Fever Detection Camera Patent Landscape Report

  • What are the major technological advancements driving patent filings in the AI-based fever detection camera industry?
  • Which companies are leading in patent activities for AI-based fever detection cameras, and what are their key innovations?
  • How do patent trends in North America compare with those in Europe and Asia-Pacific?
  • What types of AI-based fever detection cameras have the most patents, and why?
  • How do different end users, such as hospitals and specialty clinics, impact patent trends in this field?
  • What are the recent trends in patent filings for handheld vs. turret/bullet AI-based fever detection cameras?
  • How are integrated IoT solutions influencing the patent landscape for AI-based fever detection cameras?
  • What role do regulatory standards play in shaping patent activities in the AI-based fever detection camera industry?
  • How do regional priorities and advancements affect the patent landscape for AI-based fever detection cameras?
  • What future innovations and trends are expected to drive patent filings in the AI-based fever detection camera industry?
  • How do patent strategies impact competitive advantage?
  • What are the implications of patent filings in AI-based fever detection cameras?
  • What are the challenges and opportunities in the AI-based fever detection camera patent landscape?
  • What are the regulatory and legal considerations?

Reasons to Purchase this Report

This report offers an in-depth analysis of the patent landscape, covering key trends, technological advancements, and regional insights. It provides detailed segmentation and highlights areas of significant innovation and activity. By examining leading companies' strategies and patent portfolios, the report elucidates competitive dynamics and emerging opportunities. Stakeholders will gain valuable information for strategic decision-making, ensuring they stay ahead in the evolving industry. This comprehensive coverage makes it an essential resource for understanding the industry's future direction.


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Table of Contents

1 Introduction2 Executive Summary
3 Global AI-Based Fever Detection Camera Market Overview
3.1 Global AI-Based Fever Detection Camera Market Historical Value (2017-2023)
3.2 Global AI-Based Fever Detection Camera Market Forecast Value (2024-2032)
4 Global AI-Based Fever Detection Camera Market Segmentation
4.1 Global AI-Based Fever Detection Camera Market (2017-2032) By Type
4.1.1 Market Overview
4.1.2 Turret/Bullet Cameras
4.1.3 Handheld Cameras
4.2 Global AI-Based Fever Detection Camera Market (2017-2032) by End User
4.2.1 Market Overview
4.2.2 Hospitals
4.2.3 Specialty Clinics
4.2.4 Nursing Home
4.2.5 Others
5 Global Market Dynamics
5.1 Market Drivers and Constraints
5.2 Porter’s Five Forces Analysis
5.3 PESTEL Analysis
5.4 Industry Events, Initiatives, and Trends
5.5 Value Chain Analysis
6 Global AI-Based Fever Detection Camera Patent Landscape Analysis
6.1 Patent Distribution by Publication Year
6.2 Patent Distribution by Application Year
6.3 Patent Distribution by Priority Year
6.4 Analysis by Type of Patent
6.4.1 Granted Patents
6.4.2 Patent Application
6.4.3 Amended Application
6.4.4 Search Report
6.5 Analysis by Legal Status
6.5.1 Active
6.5.2 Pending
6.5.3 Expired/Discontinued
6.6 Analysis by Patent Jurisdiction
6.7 Analysis by Patent Age
6.8 Analysis by Cooperative Patent Classification (CPC) Codes
6.9 Average Time to Publish a Patent
6.9.1 By Entities
6.9.2 By Jurisdiction
6.9.3 By Technology
6.10 Analysis by Type of Entity (Academic and Non-Academic)
6.11 Analysis by Top Applicants
6.12 Analysis by Top Inventors
7 Global AI-Based Fever Detection Camera Patent Analysis by Technology
7.1 Total Patents by Top Technologies
7.2 Time Evolution of Patents by Technology
7.3 Emerging Technologies
7.4 Patent Segmentation, By Type
7.4.1 Time Evolution by Number of Patents
7.4.2 Time Evolution by Number of Patent Families
7.4.3 Analysis by Type of Entity (Academic vs Non-Academic)
7.4.4 Analysis by Top Applicants
7.4.5 Analysis by Top Inventors
8 Patent Valuation Analysis
8.1 Assessment Methodology
8.2 High Value Patents
8.3 Medium Value Patents
8.4 Low Value Patents
9 Global AI- Based Fever Detection Camera - Top 10 Players Patent Analysis
9.1 Top 10 Entities by Number of Patents
9.2 Analysis by Publication Year
9.3 Analysis by Application Year
9.4 Analysis by Priority Year
9.5 Analysis by Type of Patent
9.6 Analysis by Jurisdiction
9.7 Analysis by Cooperative Patent Classification (CPC) Codes
9.8 Analysis by Source of Innovation
9.9 Analysis by Forward and Backward Citations
9.10 Analysis by Legal Status
9.11 Analysis by Patent Age
9.12 Analysis by Key Inventors
9.13 Entity Dynamics
9.13.1 Analysis by Type of Player (Academic vs Non-Academic)
9.13.2 Analysis by Collaboration
9.13.3 Analysis by Technology
9.13.4 Newcomers
9.13.4.1 Start-up Companies
9.13.4.2 Established Companies
10 Patent Profile of Key Players
10.1 LG Electronics Inc.
10.1.1 Product Portfolio
10.1.2 Patent Portfolio by Patent Families
10.1.3 Time Evolution of Patents
10.1.4 Geographical Patent Coverage
10.1.5 Patent Analysis by Technology
10.1.6 Patent News and Developments
10.1.7 Financial Analysis
10.1.8 SWOT Analysis
10.2 Nvidia Corp.
10.3 Samsung Electronics Co Ltd
10.4 Semiconductor Energy Lab Co., Ltd.
10.5 Fujifilm Corp.
11 Future Trends
12 Global AI-Based Fever Detection Camera Landscape (Additional Insight) *
12.1 Global AI-Based Fever Detection Camera: Developers Landscape
12.1.1 Analysis by Year of Establishment
12.1.2 Analysis by Company Size
12.1.3 Analysis by Region
12.2 Global AI-Based Fever Detection Camera: Product Landscape
12.2.1 Analysis by Type

Companies Mentioned

  • Samsung Electronics Co., Ltd
  • LG Electronics Inc
  • Nvidia Corp.
  • Semiconductor Energy Lab Co., Ltd
  • Fujifilm Corp.

Methodology

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Table Information