In Supply Chain, the Blockchain technology is important in the transformation of the Bakery Industry. The Blockchain technology is instrumental in ensuring product authenticity, transparency, and product traceability....
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In the current century, natural disasters are occurring on a frequent basis. The global community reacts to these extreme situations in the contemporary era, sharing their experiences and fears on social media. By exa...
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The increased use of modern printing and scanning technologies has led to a significant rise in counterfeit currency production, posing a serious threat to global economies. To tackle this growing issue, our project, ...
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ISBN:
(纸本)9798350370249
The increased use of modern printing and scanning technologies has led to a significant rise in counterfeit currency production, posing a serious threat to global economies. To tackle this growing issue, our project, titled "Fake currency detection using Convolutional Neural Networks and Image Processing," introduces an innovative solution that utilizes artificial intelligence (AI) and machine learning for efficient counterfeit detection. Financial institutions, banks, and businesses are facing heightened vulnerability to counterfeit currency, resulting in considerable financial losses and a decrease in the value of genuine money. Current currency detection systems often rely on time-consuming traditional methods and manual inspection, which are prone to human error. Even the counterfeit detection machines in use have limitations when it comes to identifying sophisticated counterfeit notes. Our project addresses these challenges by proposing an advanced system that integrates convolutional neural networks (CNNs) and image processing techniques. Given the advancements in printing and scanning technologies, counterfeiting has evolved into a more sophisticated and widespread problem. Traditional currency detection methods, rooted in hardware and image processing, have proven to be inefficient and time-consuming. Hence, there is a critical need for a more robust and rapid solution to detect counterfeit currency. Our proposed approach employs a transfer-learned CNN, a deep learning model trained on a dataset comprising real and fake currency images. The CNN learns the intricate features of both genuine and counterfeit banknotes, allowing it to accurately identify fake currency in real-time. The transfer learning process enables the CNN to leverage knowledge gained from a diverse dataset, improving its ability to recognize subtle patterns associated with counterfeit notes. The primary components of our project include a diverse dataset with images of real and fake currenc
In the realm of computer vision, image denoising remains a formidable challenge with profound implications for fields like medical imaging, remote sensing, and photography. Despite notable advancements in deep learnin...
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Many physically challenged people struggle to obtain the necessary legal assistance. They can find it difficult to understand their rights or obtain aid within the current legal system. They require a specific AI-powe...
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ISBN:
(纸本)9781032642987
Many physically challenged people struggle to obtain the necessary legal assistance. They can find it difficult to understand their rights or obtain aid within the current legal system. They require a specific AI-powered computer program to assist them with legal matters. So that they can receive the care they need and integrate into society like everyone else, this program should be simple for them to use and comprehend. The revolutionary effects of artificial intelligence (AI) on improving legal accessibility for people with disabilities or handicaps are explored in this system. AI technologies provide specialized solutions by addressing the special difficulties that each person encounters when traversing the legal system. These include adaptable forms for legal material, communication tools supported by AI, and the benefits they get from our laws. AI integration has the potential to level the playing field for those who have disabilities in the judicial system, ensuring fair access to justice by knowing their legal rights and benefits given to them by the government, just like employment laws, educational laws, traveling benefits, etc. for the physically challenged. The envisioned chatbot will take the form of a versatile application that can run on mobiles. It’s being developed using Xamarin, ensuring smooth operation on Android. The system commences with voice input, which is then converted to text through speech-to-text technology. Following this, tokenization and keyword extraction techniques are applied to identify essential terms in the input. Subsequently, Natural Language Processing (NLP) is utilized to restructure the input sentence, enhancing its understanding. These sentences are used to formulate queries, subsequently employed to search in a manually created knowledge containing legal information and benefits applicable to individuals with physical challenges at last the system transforms the textual information into spoken words, ensuring that the re
Deep learning has become an important computational paradigm in our daily lives with a wide range of applications,from authentication using facial recognition to autonomous driving in smart vehicles. The quality of th...
Deep learning has become an important computational paradigm in our daily lives with a wide range of applications,from authentication using facial recognition to autonomous driving in smart vehicles. The quality of the deep learning models, i.e., neural architectures with parameters trained over a dataset, is crucial to our daily living and economy.
A smart city is a fast-moving terrain that requires efficient and smart security mechanisms with resilience for solving the intricate challenges of modern urbanism. The current paper presents the critical review of ma...
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Air pollution presents significant health and ecological dangers, especially in densely populated urban regions. This study looks at the current models that are used to guess the Air Quality Index (AQI). It does this ...
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People’s demand for vehicles has been increasing day by day over the last few decades. A survey tells us that over 50,000 vehicles run on the roads per day. Such a large number of vehicles causes traffic. A survey te...
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Real-Time Hand Gesture Recognition Using Convolutional Neural Networks: A Robust Approach for Diverse Applications. Hand gestures are fundamental to human communication and find extensive utility across various domain...
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