A Review Paper on Automatic Number Plate Recognition using Machine Learning : An In-Depth Analysis of Machine Learning Techniques in Automatic Number Plate Recognition: Opportunities and Limitations

Prajapati, Rajpal; Bhardwaj, Yatharth; Jain, Rahul; Hiran, Kamal Kant

doi:10.1109/cictn57981.2023.10141318

2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN) 2023

DOI: 10.1109/cictn57981.2023.10141318

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A Review Paper on Automatic Number Plate Recognition using Machine Learning : An In-Depth Analysis of Machine Learning Techniques in Automatic Number Plate Recognition: Opportunities and Limitations

Rajpal Prajapati¹,

Yatharth Bhardwaj²,

Rahul Jain³

et al.

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2024

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Cited by 3 publications

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Online proctoring tools and techniques have gained significant attention in recent years due to the increasing popularity of online learning platforms and online assessments. This chapter provides an in-depth analysis of different online proctoring techniques and tools that are commonly used to maintain the integrity of online exams. The chapter begins by highlighting the importance of online proctoring in ensuring fair evaluation and preventing cheating. It then explores various types of online proctoring techniques such as live proctoring, automated proctoring, and recorded proctoring. The advantages and limitations of each technique are discussed, providing a comprehensive understanding of when and how to use them effectively. Overall, this chapter aims to empower educators and administrators with the knowledge and information needed to implement effective online proctoring methods. By understanding the various techniques and tools available, they can enhance the credibility and security of their online assessments, ensuring a fair and reliable evaluation process.

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The ongoing data explosion driven by digital information growth has led to the emergence of human-machine interaction (HMI) as a vital tool in knowledge discovery and management across various disciplines. The exponential growth of knowledge discovery and management due to the influx of digital data and investigates into HMI applications, encompassing data visualization, natural language processing, machine learning, and augmented reality, with real-world examples demonstrating their ability in deciphering complex data and extracting insights. Ethical concerns and future directions, including issues of bias, privacy, security, and research prospects like explainable AI and personalized interfaces, are also discussed. The societal and workforce implications of HMI are explored, highlighting its potential benefits and challenges while advocating for responsible development and policies to ensure a harmonious interaction between humans and machines in the realm of knowledge discovery and management.

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Building information modelling (BIM) models are better acknowledged for both virtual reality and augmented reality (AR/VR). There are only a handful of reputable techniques for migrating data from BIM to AR and VR. Efficient data transmission is hindering the seamless integration of BIM models into AR and VR experiences. The metaverse integrates machine learning and artificial intelligence for efficient data processing and analysis, making real-time decision-making possible. Machine learning and artificial intelligence are used in the metaverse for cognitive approaches to represent large data sets. This shows that real-time inference technology and approaches are used. The significance of the study and broad computing architectures and programmes that help the organisations at the top levels operate with large data sets for a combination of cognitive abilities and splitting technology to deal with productivity, dependability, and security issues while dealing with massive data sets in mixed or virtual reality environments.

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A Review Paper on Automatic Number Plate Recognition using Machine Learning : An In-Depth Analysis of Machine Learning Techniques in Automatic Number Plate Recognition: Opportunities and Limitations

Cited by 3 publications

References 8 publications

Exploring AI-Assisted Students Online Proctoring System

Exploring AI-Assisted Students Online Proctoring System

Human-Machine Interaction for Knowledge Discovery and Management

Evolutionary Framework for Cognitive Building Information Modelling and Augmented and Virtual Reality

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