The Future of Augmented Reality: Emerging Trends and Challenges

Augmented Reality has made substantial strides, transforming the way we interact with digital and physical worlds. It is a rapidly involving technology that has the potential to revolutionize many industries and aspects of our daily lives. The increasing use of artificial intelligence (AI) to create more realistic and interactive AR experiences. The main aim of this abstract is to provide a holistic view of the current state of AR, outlining the principal issues and offering potential solutions to ensure a bright future for this transformative technology. The rapid development of augmented reality is accompanied by a series of challenges that are crucial to address as we look to the future. Sometimes, AR collects data about what users do, and we need to make sure this data is kept private and secure. Creating interesting and useful content for AR is also a challenge. We need to come up with fun and educational things for people to do. It needs a strong support system to work well. This includes things like the AR cloud (a place to store and share AR stuff) and 5G internet connectivity. It is not just about technology; it’s a mix of many different areas like tech, design, and more. The seamless operation of AR application hinges on robust technological infrastructure. By addressing the emerging trends and challenges of AR requires a proactive and holistic approach. Robust data privacy and security measures are fundamental of the long-term success of AR. Content creators should focus on developing interactive models that cater to users’ needs and interests Fostering interdisciplinary collaboration is essential. By bringing together experts from diverse fields such as design, computer science and user experience, AR can thrive. This collaboration will drive innovation, address the multifaceted challenges and ensure that AR continues to transform our internal ideas with the digital and physical worlds. Analyzing various tracking methods that allow researchers to effectively capitalize on knowledge or integrate vision-based methods.