Power battery giant goes bankrupt and stops working.
There are three main application scenarios of artificial intelligence: speech recognition, Natural language processing, and vision applications. Vision is one of the most mature fields. For the rapidly developing AI vision, a very important foundation is the AI chip. With the increasing scale of landing and the abundance of scenes, higher requirements have been put forward for AI visual chips. Which type of chip is more popular?
What are the main landing scenarios? What industry pain points can be addressed? This article summarizes the AI visual chips and related applications of 18 local manufacturers, attempting to analyze some technologies and implementation trends. Three major AI visual solutions gradually becoming mainstream According to the application direction, the AI vision solutions on the market can be simply divided into three categories: low-power AI vision solutions, AI IPC module solutions, and AI computing power boxes.
Firstly, with the increasing demand for end-to-end intelligence, low-power AI vision solutions are rapidly developing, mainly applied in categories such as mobile phones, smart door locks, smart doorbells, and home AI cameras. These solutions use battery powered methods, therefore requiring high power consumption, making low-power AI vision solutions a mainstream application. Faced with increasingly high scene complexity and image quality requirements, traditional ISP image processing technology has reached a bottleneck. As the parameter library becomes increasingly large, debugging becomes more difficult, the development cycle gradually lengthens, and the investment return on improving image quality also decreases. At this point, the deep integration of image quality technology and AI technology is crucial. Utilizing AI computing power to deeply learn massive scenes and data, intelligently tune complex parameters, output algorithm models to assist in image processing, and break through the limits of traditional ISP in image quality. The trend of combining AI with traditional ISP is very prominent in mobile phones and is also entering the field of pan security. Secondly, with the acceleration of AI visual applications in pan security scenarios, traditional security technologies such as facial recognition, human form detection, and intrusion detection have penetrated into consumer scenarios, and IP Camera devices are becoming increasingly high-definition and intelligent. The copyright of this article belongs to the original author. The content is the author's personal opinion. This website is only for reference and does not constitute any investment or application suggestions. The purpose of reprinting this article is to convey more information, and it does not mean that this website agrees with its views or is responsible for its authenticity. If there are any issues related to the content, copyright, or other aspects of the work, please contact our website within 30 days and we will delete the content as soon as possible
