Author: Zen and the Art of Computer Programming
With the rapid development of science and technology and the continuous upgrading of industries, people are increasingly expecting to upgrade their self-worth through new technologies and new products, and smart speakers are playing an increasingly important role in this field. Today, smart speakers have become a must-have for many families. Whether in the living room, bedroom, study room or elsewhere, as long as there is sound, it may trigger the family's troubles. But smart speakers also face many difficulties, such as insufficient performance, high power consumption, high price and so on. Therefore, how to let more people enjoy the convenience and entertainment brought by smart speakers by improving the capabilities of smart speakers, reducing costs, and improving experience is becoming more and more important. With the development of artificial intelligence (AI) and machine learning (ML) technologies, more and more innovative companies and products use artificial intelligence and machine learning technologies to process data captured or collected by humans to help enterprises improve efficiency, Reduce costs and enhance competitiveness. Among them, the most well-known are Google's image recognition system Photoshop, FaceBook's face recognition system Snapchat, Amazon's image retrieval system Amazon Go, Microsoft's computer vision system Azure Cognitive Services, and so on. These platforms can automatically analyze information such as objects, scenes, and emotions in images, and give corresponding feedback as needed. Based on this technological trend, in recent years, the research and development of smart speakers has also entered a new stage, in order to be more excellent, powerful, user-friendly, energy-saving and environmentally friendly. So, how to use artificial intelligence and machine learning technology to develop smart speakers? And how to reduce costs, improve performance, and improve user experience? Let's elaborate on it below.
2. Explanation of basic concepts and terms
First, we need to understand some related basic concepts and terminology.
(1) Image recognition
Image Recognition is to use computer to extract useful information from images or videos, and to classify, identify, search and organize them.