Author: Zen and the Art of Computer Programming
With the advent of the Internet era, there are more and more smart home products, and major brands are competing to launch smart home solutions, including smart cameras, smart door locks, smart control locks, smart monitoring, smart speakers, etc. The emergence of these technologies Making our lives more convenient and intelligent. Artificial intelligence (AI) technology has gradually become the core competitiveness of today's enterprises, especially in the field of smart homes. Artificial intelligence (AI) systems can automatically analyze and understand information in human language, pictures, and videos and make corresponding responses or judgments, helping companies solve some challenging problems, such as taking photos and recognition of smart cameras, and smart door locks. Switch control, intelligent lock control, abnormal event warning, etc. Therefore, by introducing artificial intelligence technology into the smart home field, we can further improve the company's problem-solving capabilities and efficiency, and provide society with more beautiful and intelligent living environments.
2. Explanation of basic concepts and terms
(1) Semantic segmentation
Semantic Segmentation, also known as segmentation task, is to divide the image into multiple regions for classification. Semantic segmentation refers to the accurate classification of the categories to which each pixel in the image belongs, including foreground objects (Foreground Object) and background objects (Background). Semantic segmentation is usually used in fields such as computer vision, pattern recognition, and machine learning. In the field of smart homes, semantic segmentation algorithms contribute to applications such as taking photos and recognition of smart cameras and switching control of smart door locks.
(2) Object detection
Object Detection, that is, target detection, is mainly used to locate and identify objects in images, including faces, pedestrians, vehicles, etc. The object detection algorithm uses machine learning methods to automatically detect objects of interest from images, and then