Kajal Santosh Magar,
- Associate professor, Department of Electronics and Telecommunication Engineering, JSPM’s Jayawantrao Sawant College of Engineering, Maharashtra, India
Abstract
The rapid growth of digital technologies has significantly transformed the way people interact with both virtual systems and the physical world. Among these technologies, crowdsourcing and augmented reality (AR) have emerged as two powerful innovations that are reshaping real-time information sharing, decision-making, and user experiences. Crowdsourcing enables organizations and systems to collect valuable data from a large number of users, while AR enhances the user’s perception by overlaying digital information onto the real-world environment. When combined, these technologies create intelligent systems capable of delivering accurate, context-aware, and real-time solutions across a wide range of industries. This research focuses on understanding how AR improves user interaction, visualization, and decision-making while examining the mechanisms used to collect, process, analyze, and match large volumes of crowdsourced data in real time. The report explores the theoretical foundations, system architecture, design principles, and implementation strategies involved in developing efficient real-time matching systems. It also discusses the importance of integrating mobile computing, cloud computing, and artificial intelligence to improve system performance, responsiveness, and user satisfaction. In addition, the study identifies several critical challenges that affect the successful deployment of these technologies, including data accuracy, privacy protection, cybersecurity, scalability, reliability, and overall system dependability. Addressing these issues is essential for building trustworthy and efficient applications that can operate effectively in dynamic environments. To demonstrate the practical value of integrating crowdsourcing with AR, the report examines multiple application areas such as intelligent navigation, urban planning, disaster response, healthcare, retail services, and smart city development. Through this comprehensive analysis, the research provides valuable insights into the opportunities and limitations of these emerging technologies. The findings presented in this report offer a useful reference for students, researchers, software developers, and engineers interested in designing advanced interactive systems, intelligent real-time applications, and next-generation digital solutions.
Keywords: Crowdsourcing, real-time matching, augmented reality, computer vision, machine learning, mobile computing, human-computer interaction, smart systems
[This article belongs to Journal of Multimedia Technology & Recent Advancements ]
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Journal of Multimedia Technology & Recent Advancements
| Volume | 13 | |
| Issue | 02 | |
| Received | 03/04/2026 | |
| Accepted | 15/07/2026 | |
| Published | 30/08/2026 | |
| Publication Time | 149 Days |