Volume 12 | Issue 5 |

 Abstract

Visually impaired people are not comfortable reading and writing. Hence, an application is being developed to enable blind individuals to read printed text with a camera by simply tapping on the screen using a speech engine. Additionally, a talking calculator has been designed so that visually impaired people can utilize it via voice commands. Alongside these features, several applications have been incorporated to assist blind individuals in their everyday lives. The application also displays the user's current location and provides weather information for any city or location. With the help of an object detection system, blind individuals can easily identify objects through the camera and listen to their names[1]. Furthermore, they can transfer money using a phone number or account number through a voice-based payment system implemented in the project. The application requires minimal effort from the user to be used effectively during daily activities. With the rapid growth of wireless communications, there is an increasing need for voice recognition techniques. Voice applications based on voice interfaces, recognition, and dialogue management can help users focus on their current tasks without requiring extra effort from their hands or eyes. The application listens to commands and responds with voice prompts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OCR recognition, Calculator, location detector, Weather detector, text-to speech, Object detection, android

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This proposal advocates for the integration of Industrial Internet of Things (IoT) technologies in the industry to enhance production efficiency and sustainability. Leveraging smart monitoring through IoT-based equipment, the initiative focuses on optimizing energy usage, detecting early machine failures, and ensuring precise temperature control. Implementation involves energy meters for daily voltage regulation, thermal sensors for cost-effective failure detection, and temperature sensors for climate control. By reducing downtime, operational costs are minimized, environmental impact is lowered, and pharmaceutical production becomes more sustainable and economically viable. This innovative approach aligns with the industry's high demand, promoting enhanced product quality, safety, and overall efficiency. In simpler terms, our strategy utilizes smart monitoring to keep machines running smoothly, save costs, and maintain pharmaceutical production quality and safety

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Predictive Maintenance, Early detection, Reduce Downtime, Energy Optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A novel and highly secure encryption methodology using a combination of AES and visual crypto. With the ever-increasing human dependency on The Internet for performing various activities such as banking, shopping or transferring money, there equally exists a need for safe and secure transactions. This need automatically translates to the requirement of increased network security and better and fast encryption algorithms. This paper addresses the above issue by introducing a novel methodology by utilizing the AES method of encryption and also further enhances the same with the help of visual cryptography. In this method the secret message is divided into two parts after which the message the first half of the message is encrypted using AES and the second share of the message is embedded in the image using LSB.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ENCRYPTION USING AES AND VISUAL CRYPTOGRAPHY THROUGH LSB

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"Distance-Based Toll Way Automation: Using RFID & ANPR for Contactless & Queue-less Tolls" presents a model aimed at showcasing an innovative approach to modernizing highway toll collection. Through the integration of Radio Frequency Identification (RFID) and Automatic Number Plate Recognition (ANPR) technologies, our model eliminates the need for physical toll gates, offering a contactless and queue-less tolling experience. Dynamic pricing mechanisms are introduced to ensure fairness in toll charges, promoting efficient resource allocation and optimizing revenue generation. By prioritizing data privacy and security, our model provides a user-friendly interface for commuters, enhancing overall satisfaction and promoting trust in the tolling system. While implemented at a demonstration scale, this model serves as a proof of concept for the feasibility and effectiveness of distance-based toll way automation. It represents a significant step towards realizing a more accessible, efficient, and equitable tolling infrastructure for highways, contributing to improved traffic management and urban mobility.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Toll way automation, RFID, ANPR ,Contactless toll collection, Queue-less tolls, Dynamic pricing, Highway infrastructure, Traffic management, Transportation technology, Tolling efficiency, Road safety, Urban mobility, Toll collection optimization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetic patients are prone to eye disease called Diabetic Retinopathy that affects blood vessels of the retina of diabetic patients. Diabetic retinopathy stands as a foremost cause of vision impairment globally. The earliest diabetes-related changes in the retina are often imperceptible and have minimum impact in the vision and thus approximately one third of the diabetic patients have DR but show no symptoms, leading to the progression of the disease untreated. The complexity of screening methodologies for diabetic eye diseases and the shortage of adequately trained personnel render the development of effective screening-oriented treatments a financially burdensome endeavor. Our proposed framework demonstrates proficiency in accurately localizing and categorizing disease lesions within retinal images thus facilitating automated detection and recognition of diabetic retinopathy, thus enabling early detection for efficient treatment with low cost and high accuracy

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diabetic Eye Disease, Diabetic Retinopathy, Deep Learning, Retinal Disease.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recently, the problem of signature forgery detection attracted significant attention due to various applications: banking, legal, and security . Existing methods require extensive volumes of data for training, making signature detection less accurate and convenient. This paper designs a novel methodology for signature forgery detection that requires one-shot learning.Furthermore, we introduce a novel similarity metric tailored for signature forgery detection, which captures the subtle differences between genuine and forged signatures. This metric facilitates the identification of forged signatures even in cases where the forgeries closely resemble genuine signatures.By training the siamese network on the genuine signature samples, we produced the synthetic forgery samples using sufficiently powerful data augmentation techniques which can allow the network to learn and easily differentiate between the genuine and the forgery signature samples. Our proposed method outperforms existing approaches and demonstrates a high potential for implementation in practice across various realms where the signature authentication needs for security and authenticity verfication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Signature forgery detection, One-shot learning, Siamese neural networks, Data augmentation, Similarity metric

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Utilizing cutting-edge technology solutions, the integration of Artificial Intelligence and Augmented Reality has significantly enhanced the traditional clothing shopping experience. Customers can virtually try on clothing and accessories, all from the comfort of their own homes. With specialized software and 3D modelling, customers can upload their images or avatars and virtually "try on" various outfits in real-time, achieving a higher degree of accuracy in sizing and fit predictions. This cutting-edge concept offers an immersive and highly interactive shopping experience, empowering customers to not only see how different clothing items fit and look on them but also providing accurate size recommendations through AI technology. Additionally, the integration of AR in virtual trial rooms enhances the virtual shopping experience by allowing customers to explore products in a more realistic and engaging way, ultimately enhancing their confidence in making online fashion purchases while reducing the need for physical store visits.(Abstract) Keywords-- Artificial Intelligence, 3D, machine learning, Augmented Reality

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 Keywords

Elevate the Online Shopping Experience using Augmented Reality (AR) and Artificial Intelligence (AI) for Enhanced Apparel Recommendations

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The face is an important part of the human body, it recognizes people in huge gatherings. The recognition of face has gained the attention of many researchers and has subsequently become the standard benchmark in the human recognition space. An attendance system using facial recognition is a type of biometric technology. It identifies and verifies the identity of a person from a digital image. Accurate attendance records are critical to class evaluation. However, manual attendance tracking can lead to errors, missed students, or duplicate records. A class image is taken and the RECOGNIZER python file is run. Attendance is done by cropping the faces in the image and it is comapared with the database faces.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Python; OpenCV and Google API; Student attendance; Face recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proliferation of fake currency presents a significant and multifaceted challenge, posing a genuine threat to both the welfare of individuals and the stability of our national economy. While counterfeit detection systems are prevalent in banks and corporate environments, their accessibility to the general public and small enterprises remains limited, leaving them susceptible to counterfeit currency. advanced image processing techniques. This currency verification system has been fully developed using the Python language within the Jupyter Notebook environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake currency, counterfeit detection, image processing, feature extraction, Bruteforce matcher

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This abstract presents a cutting-edge autonomous firefighting robot system designed to tackle the escalating challenges posed by fires worldwide. Integrating robotics, artificial intelligence, and advanced firefighting equipment, the system offers a versatile and effective solution for extinguishing fires while prioritizing the safety of both responders and civilians. Equipped with sensors for heat, smoke, and obstacle detection, the robot navigates complex environments with precision, swiftly locating and suppressing fires using high-pressure water cannons or foam dispensers. Powered by sophisticated algorithms for autonomous operation, the robot demonstrates remarkable adaptability and efficiency in dynamic firefighting scenarios. With built-in safety features and validated effectiveness through rigorous simulations and real-world experiments, this system represents a significant leap forward in firefighting technology, promising to enhance response capabilities and minimize risks in the face of escalating fire emergencies.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Firefighting robot, prototype, sensors, navigation, fire suppression

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Creative Commons Attribution 4.0 and The Open Definition