Volume 12 | Issue 4 |

 Abstract

This study looks into how packaging affects consumers' perceptions when making purchases. It looks to identify the relationships between different variables and analyse the critical elements that lead to a brand's success. Originally, data from 145 respondents were gathered for the study using a questionnaire, and analysis was done using SPSS software. ANOVA testing, Pearson Correlation, and Multiple Linear Regression were used in the study. According to the research, packaging has a big impact on consumers' decisions to buy, especially when it comes to its colour, material, and label. In the end, the study demonstrates that packaging plays a critical role in influencing consumers' purchasing decisions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Packaging Label, Buying Perception, Packaging Color, Packaging Material, Dairy Industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cracks and dents in infrastructure pose significant risks to safety and structural integrity, necessitating accurate and efficient detection methods. Traditional manual inspection processes are often labor-intensive and prone to human error, leading to delayed defect identification and maintenance interventions. We explore the application of computer vision technology for crack and dent detection in infrastructure assets. By leveraging advanced methodologies such as holistic edge detection and feature extraction, our proposed system aims to achieve high precision in identifying and delineating surface defects. Additionally, we discuss strategies to improve image processing efficiency, optimize system performance, and enable comprehensive analysis of surface defects. The integration of computer vision technology in infrastructure maintenance not only enhances safety practices but also offers potential cost savings by facilitating proactive maintenance interventions. Through this paper, we highlight the transformative impact of computer vision-based crack and dent detection in revolutionizing infrastructure inspection practices for enhanced safety and longevity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Computer Vision, Crack, Dent, Image Processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Everyday, thousands of people go missing around the world including children, teenagers, the mentally challenged, the senior with Alzheimer's, and others. utmost of them remain untraced. To this missing case entry is streamlined in police station. By using image processing compare each person with the available database and find these people. This system designed to find the felonious and missing people. If the missing person or felonious set up in the Web videotape streaming also shoot the position of missing person to police station. After missing person set up in the Web videotape streaming, shoot position Dispatch to Police station. In order for our system to fulfill its pivotal part in matters of security and authentication. Every executive function in this system is carried out by the admin then. The director has the capability to view, add, and remove stoner police. The system recognizes the issues and produces affair in line with them. This will grease law enforcement's hunt for a specific existent.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Missing Person, Criminal, Identification, Face Recognition, OpenCV, CNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advancement in artificial intelligence (AI), advanced image processing software empowers users with a vast array of editing tools, significantly altering how we interact with visual content. However, these advancements also present significant security concerns, especially regarding the spread of fake images on digital platforms. Combating image manipulation has become crucial in information security and multimedia applications. This paper addresses this critical issue by examining two main categories of image forgery: computer-generated content manipulation and deepfakes, with a focus on the common technique of splicing/compositing images from various sources. We explore recent developments in detection and localization methods, including analyzing inconsistencies in Colour Filter Array (CFA) patterns, noise levels, and JPEG compression variations. While deep learning approaches are gaining traction, traditional computer graphics-based methods remain valuable due to their reliability. The paper identifies three key challenges in combating image manipulation: efficient feature extraction, reducing reliance on manual parameter selection, and ensuring comprehensive identification of tampered areas. To address these challenges, we propose a novel approach using Contrast Limited Adaptive Histogram Equalization (CLAHE) that leverages noise artifacts and Error Level Analysis (ELA) weighted features to improve the visibility of manipulated regions. Our contributions include a multi-phase feature enhancement technique, a Contrast-based Adaptive Histogram Equalization method, and an Adaptive threshold-based pixel-wise localization method. These methods offer promising avenues for robust tampering detection across various digital platforms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ELA weight feature, Adaptive threshold, pixel-wise localization, Contrast based Adaptive Histogram Equivalization.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The use of the internet and search engines are increasing exponentially in this world. Almost In every field including Education, HealthCare, Retail Marketing, business, and many more. There will be many unwanted contents being exposed to the internet users while browsing covering informative material to obscene content. This project introduces GuardianEye360 which is a sensitive image detection system using a combination of TensorFlow and CNN (Convolutional Neural Networks), Cascades, JavaScript. These features are then used to load the content into DOM (Document Object Model). Further the CNN with TensorFlow framework detects the images on the website and blurs the obscene content that is found on the loaded website. This creative browser extension is made to include a trained model that can effectively filter NSFW (Not-Safe-For-Work) content. The extension, which divides discovered images into either NSFW or SFW (Safe-For-Work) domains. The issue of being exposed to sensitive content online is addressed by GuardianEye360. This system operates to protect user experiences while they browse, giving users authority to conceal or hide anything that is too sensitive in the real time. Giving users total control over how they connect online, creates a more secure and safe online environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: User-permission, storage, URLS, image filtering, Convolutional Neural Network, TensorFlow , Obscene image detection, Document Object Model, Not Safe For Work, blur image.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research article investigates the multifaceted influence of non-financial incentives on employee performance within contemporary organizational settings. As organizations strive to enhance employee engagement and productivity, the study delves into the varied forms of non-financial incentives, including recognition, flexible work arrangements, career development opportunities, and a positive work environment. Through a comprehensive review of existing literature and empirical data collected from diverse industries, the research aims to elucidate the nuanced ways in which non-financial incentives contribute to improved employee performance. The findings of this research contribute to the existing body of knowledge by providing empirical evidence of the impact of non-financial incentives on employee performance. The implications for organizational practices are discussed, offering insights for human resource professionals and organizational leaders seeking to optimize their incentive strategies. Ultimately, this research aims to guide the development of tailored and effective non-financial incentive programs that can positively influence employee performance, job satisfaction, and overall organizational success.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Employee performance, non financial invcentives, undeniable appeal, job satisfaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper comprehensively examines the practice of Triple Talaq in India, delving into its historical roots, legal dimensions, societal impacts, and gender perspectives. Triple Talaq, or talaq-e-bid'ah, is an Islamic divorce practice allowing a husband to pronounce "talaq" thrice in a single sitting, leading to an immediate and irrevocable dissolution of marriage. The study begins by providing a historical overview, tracing its origins in Islamic jurisprudence and its evolution within the Indian context. Within the legal framework, the paper explores the intricacies of Islamic Personal Law in India, investigating debates on the constitutional validity of Triple Talaq and legislative interventions aimed at reform. Societal impacts are analysed in terms of their effects on women's lives, family dynamics, and broader socio-economic ramifications. Gender perspectives are scrutinized, emphasizing the impact on women's rights, feminist discourses within Islamic family law, and intersectionality considerations. Through case studies, the paper examines landmark legal cases and personal narratives, offering a nuanced understanding of the real-life consequences of Triple Talaq. A comparative analysis provides insights from international approaches to Islamic family law, presenting lessons and potential reforms. Challenges and controversies within the Muslim community, including political and religious influences, are critically analysed. The research concludes with a summary of findings, actionable recommendations for future action, and emphasizes the ongoing need for dialogue and reform. By addressing the multifaceted aspects of Triple Talaq, this paper aims to contribute to the broader discourse on personal laws in India and stimulate discussions on gender justice and social cohesion.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Triple Talaq, Islamic, Gender perspective, criticisms, comparative analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study focuses on streamlining the garment production process utilizing the Critical Path Methodology (CPM). The primary objectives are to identify critical paths and activities, optimize production task sequences, allocate resources efficiently, and manage task dependencies to minimize project risks. The research design employs a quantitative approach, analyzing inventory management strategies in the apparel industry. Primary data sourced directly from the company is utilized, focusing on inventory levels, demand patterns, lead times, and cost implications. The analysis techniques involve the Critical Path Method and Gantt chart. The study period spans from January to March 2024.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

garment production, Critical Path Methodology, inventory management, operational efficiency, resource allocation, project risks.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stress disorders are a common issue among working IT professionals in the industry today. With changing lifestyle and work cultures, there is an increase in the risk of stress among the employees. Though many industries and corporations provide mental health related schemes and try to ease the workplace atmosphere, the issue is far from control. In this paper, we would like to apply machine learning techniques to analyze stress patterns in working adults and to narrow down the factors that strongly determine the stress levels. A questionnaire is one of the most used methods for detecting stress. This technique relies primarily on the individual's responses. In this technique we can leverage use of the word cloud. The dataset contains text messages or documents that are labeled as either stressed or non stressed. Automatically detecting stress can lower the likelihood of the stress problems and improve society's well being. Image capturing is automated so it collects photographs whenever a typical behavior occurs. With the help of facial emotion recognition we can analyze the stress. However we consider the stress detection as a "Problem Detection" but our goal is to furnish the "Solution for the Problem '' as well. Proposed system is capable of detecting stress and providing remediation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Stress management, Machine learning, Stress detection, Mental health, Socio-economic impact, World Health Organization (WHO), Automated image capturing, Behavioral indicators , Individualized therapy, Well-being, Problem detection, Subjective responses, Health issues.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Animation's revolutionary journey from hand-drawn beginnings to modern digital marvels highlights its enormous influence on people's emotions as well as the larger business environment. Animation is a universal art form that appeals to people of all ages, languages, and cultural backgrounds because it bridges these divides. Its emotional resonance speaks to the very essence of the human experience, and its historical significance illustrates how it has influenced our entertainment. Its versatility and aesthetic appeal make it a vital tool for marketing, communication, and brand storytelling in the business sector. Accepting animation is a recognition of its ageless power to connect, communicate, and convey ideas as well as a nod to the changing trends. Its emotional resonance speaks to the very essence of the human experience, and its historical significance illustrates how it has influenced our entertainment. Its versatility and aesthetic appeal make it a vital tool for marketing, communication, and brand storytelling in the business sector. The field of animation will surely grow as technology develops further, offering even more chances and channels for expression. This research study explores the diverse applications of animation and different types of animation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Traditional Animation, Computer Animation, Stop-Motion Animation, Gaming.

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Creative Commons Attribution 4.0 and The Open Definition