License plate recognition (LPR) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. The work presented in this paper aims to create a compu...License plate recognition (LPR) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. The work presented in this paper aims to create a computer vision system capable of taking real-time input image from a static camera and identifying the license plate from extracted image. This problem is examined in two stages: First the license plate region detection and extraction from background and plate segmentation to sub-images, and second the character recognition stage. The method used for the license plate region detection is based on the assumption that the license plate area is a high concentration of smaller details, making it a region of high intensity of edges. The Sobel filter and their vertical and horizontal projections are used to identify the plate region. The result of testing this stage was an accuracy of 67.5%. The final stage of the LPR system is optical character recognition (OCR). The method adopted for this stage is based on template matching using correlation. Testing the performance of OCR resulted in an overall recognition rate of 87.76%.展开更多
Southwest Research & Design Institute of Chemical Industry(SRDIC),Sichuan Tianyi Science & Technology Co.,Ltd.(Sichuan Tianyi) and Ningxia Baota Petrochemical Group(Baota Group) signed an agreement on January ...Southwest Research & Design Institute of Chemical Industry(SRDIC),Sichuan Tianyi Science & Technology Co.,Ltd.(Sichuan Tianyi) and Ningxia Baota Petrochemical Group(Baota Group) signed an agreement on January 29th.SRDIC and Sichuan Tianyi agree to license the production technology of 400 000 t/a dimethyl ether to Baota Group.Baota Group is constructing a 400 000 t/a dimethyl ether project in Linhe Compre-展开更多
On March 3rd,INVISTA,announced it has signed a technology licensing agreement with Sichuan Tianhua Fubang Chemical Co.,Ltd.(Tianhua Fubang) to license its BDO and PTMEG manufacturing technologies to the Chinese compan...On March 3rd,INVISTA,announced it has signed a technology licensing agreement with Sichuan Tianhua Fubang Chemical Co.,Ltd.(Tianhua Fubang) to license its BDO and PTMEG manufacturing technologies to the Chinese company.Tianhua Fubang,a joint venture between Sichuan Tianhua Co.,Ltd.。展开更多
Uhde has licensed to Xingtai Risun Chemical Co.,Ltd.forbuilding an aromatics plant at Tangshan of Hebei province,according to Uhde on December 17th,2008.The new plant will produce top-quality benzene,tolueneand xylene...Uhde has licensed to Xingtai Risun Chemical Co.,Ltd.forbuilding an aromatics plant at Tangshan of Hebei province,according to Uhde on December 17th,2008.The new plant will produce top-quality benzene,tolueneand xylene and other valuable aromatic fractions from展开更多
Wearing helmetswhile riding electric bicycles can significantly reduce head injuries resulting fromtraffic accidents.To effectively monitor compliance,the utilization of target detection algorithms through traffic cam...Wearing helmetswhile riding electric bicycles can significantly reduce head injuries resulting fromtraffic accidents.To effectively monitor compliance,the utilization of target detection algorithms through traffic cameras plays a vital role in identifying helmet usage by electric bicycle riders and recognizing license plates on electric bicycles.However,manual enforcement by traffic police is time-consuming and labor-intensive.Traditional methods face challenges in accurately identifying small targets such as helmets and license plates using deep learning techniques.This paper proposes an enhanced model for detecting helmets and license plates on electric bicycles,addressing these challenges.The proposedmodel improves uponYOLOv8n by deepening the network structure,incorporating weighted connections,and introducing lightweight convolutional modules.These modifications aim to enhance the precision of small target recognition while reducing the model’s parameters,making it suitable for deployment on low-performance devices in real traffic scenarios.Experimental results demonstrate that the model achieves an mAP@0.5 of 91.8%,showing an 11.5%improvement over the baselinemodel,with a 16.2%reduction in parameters.Additionally,themodel achieves a frames per second(FPS)rate of 58,meeting the accuracy and speed requirements for detection in actual traffic scenarios.展开更多
Incense in China-Cultural Convergence and Ethnic Integration in the Perspective of Incense.Incense has witnessed the thousands of years of civilization of the Chinese nation,accompanied by the fostering of the Chinese...Incense in China-Cultural Convergence and Ethnic Integration in the Perspective of Incense.Incense has witnessed the thousands of years of civilization of the Chinese nation,accompanied by the fostering of the Chinese cultural spirit and the formation of philosophical thoughts.The cover story is written by Qin Yanchun,a researcher from the Institute of Chinese Culture of the Chinese National Academy of Arts,who tells us the story of various spices such as Liquidambar orientalis from the"Western Regions",and the cultural convergence and ethnic integration of people of different times in the perspective of spices,incense set,incense products and other license materials.展开更多
The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The ...The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.展开更多
A novel reconstruction method to improve the recognition of license plate texts of moving vehicles in real traffic videos is proposed, which fuses complimentary information among low resolution （LR） images to yield ...A novel reconstruction method to improve the recognition of license plate texts of moving vehicles in real traffic videos is proposed, which fuses complimentary information among low resolution （LR） images to yield a high resolution （HR） image. Based on the regularization super-resolution （SR） reconstruction schemes, this paper first introduces a residual gradient （RG） term as a new regularization term to improve the quality of the reconstructed image. Moreover, L1 norm is used to measure the residual data （RD） term and the RG term in order to improve the robustness of the proposed method. Finally, the steepest descent method is exploited to solve the energy functional. Simulated and real acquired video sequence experiments show the effectiveness and practicability of the proposed method and demonstrate its superiority over the bi-cubic interpolation and discontinuity adaptive Markov random field （DAMRF） SR method in both signal to noise ratios （SNR） and visual effects.展开更多
文摘License plate recognition (LPR) applies image processing and character recognition technology to identify vehicles by automatically reading their license plates. The work presented in this paper aims to create a computer vision system capable of taking real-time input image from a static camera and identifying the license plate from extracted image. This problem is examined in two stages: First the license plate region detection and extraction from background and plate segmentation to sub-images, and second the character recognition stage. The method used for the license plate region detection is based on the assumption that the license plate area is a high concentration of smaller details, making it a region of high intensity of edges. The Sobel filter and their vertical and horizontal projections are used to identify the plate region. The result of testing this stage was an accuracy of 67.5%. The final stage of the LPR system is optical character recognition (OCR). The method adopted for this stage is based on template matching using correlation. Testing the performance of OCR resulted in an overall recognition rate of 87.76%.
文摘Southwest Research & Design Institute of Chemical Industry(SRDIC),Sichuan Tianyi Science & Technology Co.,Ltd.(Sichuan Tianyi) and Ningxia Baota Petrochemical Group(Baota Group) signed an agreement on January 29th.SRDIC and Sichuan Tianyi agree to license the production technology of 400 000 t/a dimethyl ether to Baota Group.Baota Group is constructing a 400 000 t/a dimethyl ether project in Linhe Compre-
文摘On March 3rd,INVISTA,announced it has signed a technology licensing agreement with Sichuan Tianhua Fubang Chemical Co.,Ltd.(Tianhua Fubang) to license its BDO and PTMEG manufacturing technologies to the Chinese company.Tianhua Fubang,a joint venture between Sichuan Tianhua Co.,Ltd.。
文摘Uhde has licensed to Xingtai Risun Chemical Co.,Ltd.forbuilding an aromatics plant at Tangshan of Hebei province,according to Uhde on December 17th,2008.The new plant will produce top-quality benzene,tolueneand xylene and other valuable aromatic fractions from
基金supported by the Ningxia Key Research and Development Program(Talent Introduction Special Project)Project(2022YCZX0013)North Minzu University 2022 School-Level Scientific Research Platform“Digital Agriculture Enabling Ningxia Rural Revitalization Innovation Team”(2022PT_S10)+1 种基金Yinchuan City University-Enterprise Joint Innovation Project(2022XQZD009)Ningxia Key Research and Development Program(Key Project)Project(2023BDE02001).
文摘Wearing helmetswhile riding electric bicycles can significantly reduce head injuries resulting fromtraffic accidents.To effectively monitor compliance,the utilization of target detection algorithms through traffic cameras plays a vital role in identifying helmet usage by electric bicycle riders and recognizing license plates on electric bicycles.However,manual enforcement by traffic police is time-consuming and labor-intensive.Traditional methods face challenges in accurately identifying small targets such as helmets and license plates using deep learning techniques.This paper proposes an enhanced model for detecting helmets and license plates on electric bicycles,addressing these challenges.The proposedmodel improves uponYOLOv8n by deepening the network structure,incorporating weighted connections,and introducing lightweight convolutional modules.These modifications aim to enhance the precision of small target recognition while reducing the model’s parameters,making it suitable for deployment on low-performance devices in real traffic scenarios.Experimental results demonstrate that the model achieves an mAP@0.5 of 91.8%,showing an 11.5%improvement over the baselinemodel,with a 16.2%reduction in parameters.Additionally,themodel achieves a frames per second(FPS)rate of 58,meeting the accuracy and speed requirements for detection in actual traffic scenarios.
文摘Incense in China-Cultural Convergence and Ethnic Integration in the Perspective of Incense.Incense has witnessed the thousands of years of civilization of the Chinese nation,accompanied by the fostering of the Chinese cultural spirit and the formation of philosophical thoughts.The cover story is written by Qin Yanchun,a researcher from the Institute of Chinese Culture of the Chinese National Academy of Arts,who tells us the story of various spices such as Liquidambar orientalis from the"Western Regions",and the cultural convergence and ethnic integration of people of different times in the perspective of spices,incense set,incense products and other license materials.
文摘The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.
基金The National Natural Science Foundation of China (No.60972001)the National Key Technology R&D Program of China duringthe 11th Five-Year Plan Period (No.2009BAG13A06)
文摘A novel reconstruction method to improve the recognition of license plate texts of moving vehicles in real traffic videos is proposed, which fuses complimentary information among low resolution （LR） images to yield a high resolution （HR） image. Based on the regularization super-resolution （SR） reconstruction schemes, this paper first introduces a residual gradient （RG） term as a new regularization term to improve the quality of the reconstructed image. Moreover, L1 norm is used to measure the residual data （RD） term and the RG term in order to improve the robustness of the proposed method. Finally, the steepest descent method is exploited to solve the energy functional. Simulated and real acquired video sequence experiments show the effectiveness and practicability of the proposed method and demonstrate its superiority over the bi-cubic interpolation and discontinuity adaptive Markov random field （DAMRF） SR method in both signal to noise ratios （SNR） and visual effects.
