Smart home with neural network based object detection
عنوان مقاله: Smart home with neural network based object detection
شناسه ملی مقاله: JR_BDCV-2-1_005
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_BDCV-2-1_005
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Agyan Panda - Department of Computer Science and Engineering, OEC Engineering College, OD, India.
Sheila Maria Muniz - Municipal Secretary of Education of Jijoca de Jericoacoara, Jijoca de Jeric., CE, Brazil.
خلاصه مقاله:
Agyan Panda - Department of Computer Science and Engineering, OEC Engineering College, OD, India.
Sheila Maria Muniz - Municipal Secretary of Education of Jijoca de Jericoacoara, Jijoca de Jeric., CE, Brazil.
Household object detection is a brand-new computer technique that combines image processing and computer vision to recognise 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/1590226/