Dr. Yonghui Wang Associate Professor Department of Engineering Technology Explore Computer Vision and Embedded Computing From literatures, computer vision is defined as a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. The key technology in computer vision is object detection. Image/Video object detection is the process to find real-world objects such as vehicles, faces, etc. in images or videos. Object detection algorithms typically use extracted features and learning algorithms to recognize instances of an object category. It is commonly used in applications such as image retrieval, security, and surveillance systems. Object detection in image/video involves verifying the presence of an object in image sequences and possibly locating it precisely for recognition. In this project, students will have the opportunity to work on designing computer vision systems based on both general computers and embedded systems. Students will be involved in all the stages of designing a computer vision system, especially an embedded computer vision platform. Such platform will be based on popular embedded boards, such like Raspberry Pi, and will be served as testing platforms for future teaching and research activities. Specifically, first, students will study and select hardware components, including embedded system boards and cameras, based on various applications; second, students will research learn how to program the embedded boards; and third, students will work on construction of computer vision system with the selected hardware and software. Expected outcomes: After the project, students will 1) get familiar with computer vision technology; 2) understand the principles of operation and the methods of application for embedded boards and camera; and 3) be able to design a simple embedded computer vision system.