Titlebook: Intelligent Systems for Smart Cities; Select Proceedings o Anand J. Kulkarni,Naoufel Cheikhrouhou Conference proceedings 2024 The Editor(s)

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Machine Learning Techniques for Real-Time Human Face Recognitionvily on face detection and recognition. When it comes to authentication and other forms of security, the face is where it’s at. An improved and faster facial detection system is a primary goal. This work introduces a CNN and Python-based Face Recognition System. The paper presents the analysis of ma

habitat

Image Steganography Using Particle Swarm Optimizationdeo, and images to obfuscate sensitive information are commonly referred to as known as Steganography. Maintaining a fair trade-off between increased bit embedding rate, security, imperceptibility, and robustness is the major problem of steganographic system design. Therefore, with the enormous adva

Mercurial

Intelligent Inventory Management in Retail Stores Using Four State of the Art Object Detection Modelse in everyday life, business management development and improvement are two areas where it is particularly useful. Today’s industry demands that inventory management and space allocation be done effectively as there are significantly greater chances of operator error associated with manual tracking

synovium

Supply Chain Risk Management Through Zero-Trust Architecturerchy process (FAHP) developed in the study. Even though the idea of failure inquiry has been covered in earlier research, its integration with knowledge-based planning is not adequately addressed. This study fills this gap in three key steps, which are as follows. First, the preceding literature is

Irremediable

Real Time Food Monitoring and Quality Alert System Using IoT and Streamlitd demand for food, the risk of contamination and spoilage has also increased, leading to significant public health and economic consequences. In order to protect food from contamination during transportation caused by environmental factors, this paper suggests an IoT framework for easy food monitori

大量

overbearing

QuickTag: A Machine Learning-Based Automated Toll Collection System Using Optical Character Recognitlt to manually handle the gridlock, making the process cumbersome and time-consuming. Currently, toll collection is done using FASTag, which operates as a digital wallet. The toll is deducted when the operator scans the vehicle barcode, if the balance is insufficient the driver has to pay using cash

Subdue

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Localised Land-Use Classification Using U-Net and Satellite Imagingitable, which leads to improper development of cities. With increasing urbanisation and the advancement of technology, we get an opportunity to explore the idea of land-use classification. Modern software and models do provide such information but at a high zoom level which defeats the purpose of lo

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