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@article{184246,
        author = {Vivek Gujar},
        title = {The Integration of Artificial Intelligence into Edge Camera Systems: A Perspective through Disruptive Innovation Theory_Case Study of Indoai},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {613-619},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184246},
        abstract = {The integration of artificial intelligence (AI) into edge camera systems represents a transformative shift in the global video surveillance market, projected to reach approximately $83.49 billion by 2025. One analysis estimates that AI advancements will contribute $15.7 trillion to the global economy by 2030 through new products and productivity gains This advancement enables real-time data processing at the device level, challenging traditional cloud-dependent models. Taking reference from Clayton Christensen's Disruptive Innovation Theory, this article explores how AI-edge integration disrupts incumbents by targeting underserved markets with simpler, cost-effective solutions. Author analyze benefits, challenges and success factors for entrants in this space, using a literature-based approach informed by competitive strategy and technology adoption frameworks. Key insights highlight the importance of vertical integration, ecosystem development and efficient scaling to avoid commoditization. This study contributes to understanding disruptive dynamics in AI hardware, offering strategic guidance for innovators in a competitive landscape.},
        keywords = {Edge AI, AI Camera, Appization, Disruptive Innovation, Indoai},
        month = {September},
        }