Author: Lim, Donghyun; Park, Deawoo
                    Title: AI Analysis of Illegal Parking Data at Seocho City  Cord-id: pv5k8pe8  Document date: 2021_1_3
                    ID: pv5k8pe8
                    
                    Snippet: The CCTV surveillance center (below to “Centerâ€) in Seocho City Office operates 3724 CCTVs. CCTV control is operating infrastructure such as 40 Gbps self-fiber-connected network dedicated information and communication, 7 PB SAN storage and 200 virtual machines to ensure the safety of citizens. Center grow up the newest technique from now on. However, in view of Bia Data for illegal parking and stopping judgment in Center relies on the old automatic software. In this paper, we characterize im
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: The CCTV surveillance center (below to “Centerâ€) in Seocho City Office operates 3724 CCTVs. CCTV control is operating infrastructure such as 40 Gbps self-fiber-connected network dedicated information and communication, 7 PB SAN storage and 200 virtual machines to ensure the safety of citizens. Center grow up the newest technique from now on. However, in view of Bia Data for illegal parking and stopping judgment in Center relies on the old automatic software. In this paper, we characterize images by local resident, neighborhood, site-specific, site-specific-direction, day of week, hour of day and analysis of Bia Data for judging illegal parking. We design an AI machine learning system that links the vehicle’s number recognition algorithm for illegal parking. Finally we design a advanced system that analyzes the status of illegal parking and stopping judgment in Seocho City Office, where Big Data and AI are connected using spatial information and AI.
 
  Search related documents: 
                                
                                Co phrase  search for related documents, hyperlinks ordered by date