"绿色通道车型识别方法及GPU/CPU协同加速计算研究"

The dissertation "云计算-面向绿色通道检查的高效车型识别方法及其GPUCPU协同加速计算.pdf" focuses on the development of a high-efficiency vehicle recognition method for green channel inspection, specifically targeting the security and safety aspects of the cab. This project, known as the "JT-G Integration Green Channel Special Inspection System," is a technical initiative supported by the Science and Technology Department of Guangxi Zhuang Autonomous Region. The primary objective is to create an integrated and automated system for green channel inspections, utilizing radiation perspective imaging technology. The dissertation explores the challenges of avoiding cab exposure to radiation, and proposes novel solutions for implementing cab security measures. Through the utilization of GPU-CPU collaborative acceleration computing, the efficiency and accuracy of vehicle recognition in green channel inspections can be significantly improved. This research presents a comprehensive analysis of the methods and technologies involved in this innovative approach to green channel inspection and highlights the potential for future advancements in this field.