The integration of Internet of Things (IoT) and Computer Vision has significantly revolutionized various industries, including smart cities, healthcare, transportation, and security. One of the most critical applications of this technological convergence is in street lighting systems. Traditional street lighting systems operate on fixed schedules or manual control, which often leads to inefficiencies in energy consumption and public safety. These systems frequently illuminate areas even when there is no pedestrian or vehicular movement, leading to excessive energy consumption and increased...

Die Integration von Internet der Dinge (IoT) und Computer Vision hat zahlreiche Branchen, darunter Smart Cities, Gesundheitswesen, Transport und Sicherheit, grundlegend revolutioniert. Eine der wichtigsten Anwendungen dieser technologischen Konvergenz sind Straßenbeleuchtungssysteme. Herkömmliche Straßenbeleuchtungssysteme arbeiten nach festen Zeitplänen oder werden manuell gesteuert, was häufig zu Ineffizienzen beim Energieverbrauch und der öffentlichen Sicherheit führt. Diese Systeme beleuchten Bereiche häufig auch dann, wenn weder Fußgänger noch Fahrzeuge unterwegs sind, was zu...

L'intégration de l'Internet des objets (IoT) et de la vision par ordinateur a révolutionné de nombreux secteurs, notamment les villes intelligentes, la santé, les transports et la sécurité. L'une des applications les plus cruciales de cette convergence technologique concerne les systèmes d'éclairage public. Les systèmes d'éclairage public traditionnels fonctionnent selon des horaires fixes ou un contrôle manuel, ce qui entraîne souvent des inefficacités en termes de consommation d'énergie et de sécurité publique. Ces systèmes éclairent fréquemment des zones même en...

Child Facial Emotion Recognition using Deep Learning is an emerging field in artificial intelligence that focuses on accurately identifying emotional expressions from children's facial features. Unlike adult emotion recognition, this task presents unique challenges due to the subtler and more dynamic nature of children's emotional expressions, age-related facial changes, and limited availability of annotated datasets. Applications of child emotion recognition span across several domains including education (adaptive learning systems), healthcare (autism detection, mental health monitoring),...

Brain tumor detection is a critical task in medical diagnosis, where early and accurate identification can significantly improve patient outcomes. Deep learning, a subset of artificial intelligence, has emerged as a powerful tool in automating this process. By leveraging convolutional neural networks (CNNs) and other advanced architectures, deep learning models can analyze MRI scans to detect and classify brain tumors with high accuracy. These models learn complex patterns and features from vast datasets, reducing the need for manual intervention and minimizing human error. The integration of...