Industrial vision(LiuQilong)

With the rapid development of the textile industry, the requirements for fabric quality are getting higher and higher, and the traditional manual inspection method is inefficient and error-prone. In order to solve this problem, our team decided to develop an intelligent fabric inspection system based on machine vision, which realizes the automatic detection and classification of fabric defects through image processing and pattern recognition technology. Specifically, a series of image preprocessing algorithms have been developed by using image processing libraries such as OpenCV, including grayscale, filtering, edge detection, etc. A defect detection model based on deep learning was designed and implemented, and a convolutional neural network (CNN) was used to classify and locate defects in fabric images. This experience has enabled me to accumulate valuable experience in solving practical problems and applying technological innovations, which has laid a solid foundation for my future career development.

The project aims to use Internet of Things technology to build a smart agriculture system, through real-time data collection, transmission and analysis, to achieve the monitoring and regulation of the farmland environment (such as soil moisture, temperature, light, etc.), and improve the intelligent level of agricultural production. Specifically, it includes hardware design and implementation, data acquisition and processing, system integration and testing, project management and collaboration, and technical documentation and reporting. The results of the project have been highly recognized by the instructors and evaluation experts

This is a summer group practice project to practice front-end techniques on the topic of film website page development. The whole small project includes front-end development, back-end development, data capture and processing, user function implementation, and test optimization. Through the development of this project, I have comprehensively improved my full-stack development skills and deeply understood the application and collaboration of front-end and back-end technologies. At the same time, my project management and problem-solving skills have improved significantly. This experience not only enriched my technical reserves, but also provided me with valuable practical experience for my career development.