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Object Detection by Neural Network for Smart Home

عنوان مقاله: Object Detection by Neural Network for Smart Home
شناسه ملی مقاله: JR_BDCV-2-4_002
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:

Ibrahim Mekawy - Department of Mathematics, College of Science and Arts, Qassim University, Ar Rass, Saudi Arabia.

خلاصه مقاله:
Household object detection is a brand-new computer technique that combines image processing and computer vision to recognize objects in the home. All objects stored in the kitchen, room, and other areas will be detected by the camera. Low-end device techniques for detecting people in video or images are known as object detection. With picture and video analysis, we've lost our way.

کلمات کلیدی:
object detection model, Neural Network, Deep Learning, Python

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1590211/