Abstract: Object detection systems, pivotal in computer vision, identify and localize objects in images or videos. This paper explores Convolutional Neural Networks (CNNs) and MobileNet SSD (Single Shot Multi Box Detector) for efficient object detection, particularly in resource-constrained environments. We review CNN- based detection, detail MobileNet SSD’s lightweight architecture, and assess its performance. Applications in autonomous driving, mobile devices, and surveillance are discussed, alongside challenges and future directions. This study underscores MobileNet SSD’s role in enabling real-time detection on edge devices.
Keywords: Data-Driven, Object Detection, MobileNet, Convolutional Neural Networks (CNNs), Bounding Boxes, Machine Learning.
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DOI:
10.17148/IJARCCE.2025.145102
