Abstract
This paper presents an AI-powered Smart Monitoring Device for real-time applications with multiple capabilities, including case 1: face recognition for age, gender, and vehicle registration plate (or commonly known as number plate) recognition. This proposed system has been integrated into the AI-based Smart Identification Engine and uses an IP-enabled camera to capture real-time information at public places. We use AI to create a convolutional neural network (CNN), a Python-based deep learning module that extracts streams, identifies and processes images, and collects snapshots from videos before storing the data in the cloud. Case 2: The AI-enabled Smart Digital Monitoring Engine (SDME) is an implementation of the CNN deep learning model to identify and process images and videos, and can be used in various sectors such as targeted advertising in malls and automated identification in gated communities through face and vehicle number plate recognition.
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Padmapriya, V., Prasanna, M., Manasa, K., Shivani, R., Bhargav, S. (2023). AI-Enabled Smart Monitoring Device for Image Capturing and Recognition. In: Bhateja, V., Yang, XS., Ferreira, M.C., Sengar, S.S., Travieso-Gonzalez, C.M. (eds) Evolution in Computational Intelligence. FICTA 2023. Smart Innovation, Systems and Technologies, vol 370. Springer, Singapore. https://doi.org/10.1007/978-981-99-6702-5_8
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DOI: https://doi.org/10.1007/978-981-99-6702-5_8
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