This conference will introduce ON Semiconductor's products and applications in the three fields of automobiles, machine vision and artificial intelligence. In terms of automotive sensing applications, this conference will introduce the application of ADAS, DMS, OMS, E-Mirror and SensL products in lidar, such as: AR0820AT, AR0233AT, AR0147AT; in terms of industrial vision, Global Shutter's Python and XGS will be introduced Products, ON Semiconductor product block diagrams of typical industrial cameras; and ON Semiconductor product solutions in emerging AI fields (such as face recognition), such as AR0144, AR0234, AR0230, and AR0237IR in face scanning and obstacle avoidance applications.
Total of 1 lessons56 minutes and 1 seconds
This course is an undergraduate course in the Department of Intelligent Science and Technology, School of Computer Science, Beijing University of Posts and Telecommunications. The course focuses on the basic tasks of computer vision and focuses on introducing some conventional processing ideas and classic processing methods of computer vision tasks.
Total of 18 lessons21 hours and 29 minutes and 20 seconds
Computer Vision and Deep Learning (Graduate Course) Lu Peng, Beijing University of Posts and Telecommunications
Total of 16 lessons23 hours and 24 minutes and 48 seconds
Learn myRIO from me
Total of 14 lessons2 hours and 17 minutes and 18 seconds
This course is a youth AI self-improvement project - computer vision course. The main organizers, speakers, and participants are all students, solving practical problems for students: bridging the gap between "technical novices" and "teachers think you understand" The gap between "textbook" and "practice" is bridged, and the problem that general academic articles/resources are difficult to read is solved. This course mainly consists of 8 lectures and 1 transformation challenge task. The lectures are held every other week. Each lecture will use easy-to-understand language to guide everyone to master AI-related knowledge points, including AI bird's-eye view and advanced guide, introduction to machine learning, classic neural networks, deep neural networks, convolutional neural networks, classification tasks, and detection tasks. , examples and parameter adjustment methods, and finally lead everyone to practice through transformation challenge tasks, etc.
Total of 43 lessons7 hours and 18 minutes and 59 seconds
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