Global AI Camera Market 2024-2030

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    AI CAMERA MARKET

     

    INTRODUCTION

    A camera having artificial intelligence (AI) capabilities is referred to as an AI camera. It enhances the performance of the camera and makes intelligent features possible by fusing conventional camera features with cutting-edge AI algorithms.

     

    Real-time visual data analysis is performed by AI cameras using computer vision, deep learning, and machine learning algorithms.

     

    They are able to decipher and comprehend the information contained in pictures or videos, which gives them the ability to carry out numerous activities like object identification, recognition, tracking, and categorization. Based on predefined rules, the AI algorithms included into these cameras may identify particular objects, events, or behaviors and initiate the proper responses or alarms.

     

    There are numerous uses for AI cameras in various fields. They are frequently used in security monitoring systems where they can automatically spot and warn of unauthorized access or questionable activity.

     

    Additionally, they work in a variety of other industries, including smart cities, retail analytics, traffic monitoring, industrial automation, and healthcare, to mention a few.

     

    AI CAMERA MARKET SIZE AND FORECAST

    Infographic: AI Camera Market, AI Camera Market Size, AI Camera Market Trends, AI Camera Market Forecast, AI Camera Market Risks, AI Camera Market Report, AI Camera Market Share

    The Global AI Camera Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.

     

    RECENT DEVELOPMENT AND INNOVATION IN AI CAMERA MARKET

     

    S No Company Name Development
    1 Advantech  The Advantech ICAM-500 series is a highly integrated Industrial AI Camera that considerably simplifies installation and maintenance work. It is outfitted with SONY industrial grade image sensors, LED illumination, multiple core ARM processors, and NVIDIA AI system on modules.
    2 i-PRO AI Engine in the i-PRO Network Camera. A camera’s built-in AI engine can accurately recognize and identify faces, people, moving objects, and two-wheeled vehicles to upgrade to more sophisticated video surveillance solutions.Optimizing video compression using AI smart coding to reduce network traffic and server storage requirements.
    3 NEON  Numerous difficulties that affect AI vision systems frequently are addressed by NEON AI smart cameras, including EMC, ESD, I/O compatibility, temperature concerns, physical vibration, picture dropping, and space limitations.Because NEON cameras are small and ready to use, AI developers can cut out the usual headaches and accelerate time to market.

     

    Advantech ICAM-520/500’s varifocal lens and LED illumination considerably decrease installation and maintenance work. ICAM-520/500 series’ support for CAMNavi SDK, HTML5 web-based utilities, and NVIDIA Deepstream SDK speeds up the creation and rollout of cloud-to-edge vision AI applications. 

     

    A highly integrated Industrial AI Camera from Advantech, the ICAM-520/500 series comes with SONY industrial grade image sensors, LED illumination, multiple core ARM processors, and an NVIDIA AI system on module.

     

    The Python language is used by default in the CAMNavi SDK, which is more suited for integrating AI algorithms and image acquisition. To setup the cameras and network configuration in the interim and reduce installation effort, use the HTML 5 web-based application. 

     

    Connecting to AI cloud services is simple to the preinstalled, optimized Jetpack board support package V4L2 and RTSP interface. An all-in-one, small, and robust industrial AI camera like the Advantech ICAM-520/500 series is perfect for a range of edge AI vision applications.  AI occupancy detection will be able to recognize crowd density when installed on an i-PRO AI engine camera and send the pop-up alert notification.

     

     AI-VMD is able to distinguish between things. The cameras actively read the environment and distinguish people from automobiles, motorcycles, bicycles, and other moving objects. Users can also take use of intelligent functions like line-cross detection, scene-change detection, loitering detection, and orientation detection to AI-VMD.

     

    They work with Video Insight, Genetec, and i-PRO Active Guard, a search feature that instantly locates individuals or cars using video management software. When used with i-PRO AI engine cameras, AI privacy guard shields the faces of everyone in the scene by instantly applying a mosaic over their face.

     

    Any i-PRO camera with an AI engine can recognize face masks and tell when someone isn’t wearing one by using a pop-up alarm message to the combination of proprietary image processing and deep learning technology.

     

     The performance and dependability of NEON AI smart cameras are better than those of other AI vision products on the market. Due to the complexity, size, and inconvenience of typical AI vision systems using a MIPI sensor and TX2 box, as well as the associated compatibility, reliability, and cabling difficulties.

     

     With an optimized, pre-installed software environment, NEON smart cameras consolidate everything that require into a single hardware solution to increase interoperability, expedite installation, and reduce maintenance concerns

     

    Hikvision, a pioneer in the worldwide surveillance market, has introduced the DeepinView line of high-tech AI-powered cameras. These cameras enable intelligent video analytics and superb image performance by integrating state-of-the-art deep learning algorithms with top-tier imaging technologies.

     

    The DeepinView cameras have transformed the world of video surveillance with their cutting-edge features and capabilities, offering improved security, effective monitoring, and priceless insights for a variety of applications. Real-time situational awareness and intelligent video analysis are in high demand, and the DeepinView series is made to meet those needs. These cameras are able to perform sophisticated functions including facial recognition, object identification and tracking, behavior analysis, and more by utilizing artificial intelligence (AI). DeepinView

     

    DeepinView cameras have the capacity to instantly analyze video streams, automatically identifying and extracting useful data from the recorded footage. The capacity of DeepinView cameras to recognize faces is one of their primary characteristics. These cameras can reliably recognize faces and match them against predefined databases thanks to the use of deep learning algorithms.

     

    This enables effective access control, staff management, and security improvement. In applications such as airports, governmental institutions, retail establishments, and other high-security areas, facial recognition technology has grown in importance. DeepinView cameras provide object detection and tracking features that make it possible to recognize and follow a variety of items in a scene. These cameras can identify and follow objects of interest in real time, whether they be people, cars, or other moving objects.

     

    The ability to instantly recognize and track objects is essential for maintaining safety and security in situations like perimeter protection, traffic monitoring, and crowd management.

     

    Another potent feature provided by DeepinView cameras is behavior analysis. These cameras are able to spot potentially dangerous situations, unlawful entry, and suspicious behavior by observing the movements and actions of people or groups. 

     

    The behavior analysis algorithms can be altered to fit particular applications, and they can warn security staff in real-time, enabling prompt action and efficient incident management.

     

    Even in difficult lighting circumstances, DeepinView cameras excel at producing stunning images. These cameras can record crisp and vivid video footage with characteristics including wide dynamic range (WDR) and low-light capabilities, ensuring visibility in both light and dark conditions.

     

    With accurate identification and thorough monitoring made possible, this guarantees that important details are not lost. The integration of DeepinView cameras with Hikvision’s superior video management system (VMS) and other security tools is another noteworthy feature.

     

    Through this seamless integration, many cameras can be managed and controlled from a single location, and the captured footage can be searched and subjected to powerful analytics. Hikvision’s VMS in conjunction with DeepinView cameras offers a comprehensive surveillance solution that maximizes efficacy and efficiency.

     

    DeepinView cameras also offer intelligent event notification and detection. These cameras can identify certain occurrences or anomalies and inform operators or security people by analyzing video streams in real-time. In addition to enabling quicker response times and reducing the need for ongoing monitoring, this proactive strategy also increases situational awareness and overall security.

     

    To meet various security needs, the DeepinView series includes a broad variety of camera models, including dome cameras, bullet cameras, PTZ (Pan-Tilt-Zoom) cameras, and fisheye cameras. To provide outstanding performance, dependability, and adaptability, these cameras are built with cutting-edge hardware components and sophisticated software algorithms.

     

    Developed by Dahua Technology, the Dahua AI Network Cameras are a line of cameras with advanced artificial intelligence (AI) capabilities for video surveillance and analytics. The object identification, facial recognition, intelligent video analysis, and behavior analysis capabilities of these cameras are all improved by AI algorithms.

     

    People, automobiles, and other preset items can all be reliably detected and classified in real-time by Dahua AI Network Cameras. This aids in automated event alerts and proactive security monitoring.

     

    Advanced video analysis algorithms that can recognize and analyze a wide range of events and behaviors are included with Dahua AI Network Cameras. Detection of intrusions, loitering, abandoned objects, and other things are included.

     

    THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

    1. How many AI camera are manufactured per annum globally? Who are the sub-component suppliers in different regions?
    2. Cost breakup of a Global AI camera and key vendor selection criteria
    3. Where is the AI camera manufactured? What is the average margin per unit?
    4. Market share of Global AI camera market manufacturers and their upcoming products
    5. Cost advantage for OEMs who manufacture Global AI camera in-house
    6. key predictions for next 5 years in Global AI camera market
    7. Average B-2-B AI camera market price in all segments
    8. Latest trends in AI camera market, by every market segment
    9. The market size (both volume and value) of the AI camera market in 2024-2030 and every year in between?
    10. Production breakup of AI camera market, by suppliers and their OEM relationship
     
    Sl no Topic
    1 Market Segmentation
    2 Scope of the report
    3 Abbreviations
    4 Research Methodology
    5 Executive Summary
    6 Introduction
    7 Insights from Industry stakeholders
    8 Cost breakdown of Product by sub-components and average profit margin
    9 Disruptive innovation in the Industry
    10 Technology trends in the Industry
    11 Consumer trends in the industry
    12 Recent Production Milestones
    13 Component Manufacturing in US, EU and China
    14 COVID-19 impact on overall market
    15 COVID-19 impact on Production of components
    16 COVID-19 impact on Point of sale
    17 Market Segmentation, Dynamics and Forecast by Geography, 2024-2030
    18 Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030
    19 Market Segmentation, Dynamics and Forecast by Application, 2024-2030
    20 Market Segmentation, Dynamics and Forecast by End use, 2024-2030
    21 Product installation rate by OEM, 2023
    22 Incline/Decline in Average B-2-B selling price in past 5 years
    23 Competition from substitute products
    24 Gross margin and average profitability of suppliers
    25 New product development in past 12 months
    26 M&A in past 12 months
    27 Growth strategy of leading players
    28 Market share of vendors, 2023
    29 Company Profiles
    30 Unmet needs and opportunity for new suppliers
    31 Conclusion
    32 Appendix
       
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