Problem Statement & Industry Concerns - Street crime accounts for 35% of conventional crime, highlighting the urgency of addressing street crime and motorcycle gangs in Indonesia [7] - The speaker's personal experience of being attacked by a motorcycle gang ("kelitih") in Yogyakarta illustrates the issue of street crime [2][3][4] AI Solution & Technological Application - The speaker and team are developing AI to enhance city safety and comfort [9] - AI, leveraging machine learning, can learn from data to solve problems [14] - London Underground uses AI to detect potentially harmful actions, resulting in 44,000% alerts from October 2022 to September 2023, with 19,000% of alerts sent to nearby stations for immediate action [15] - The team is creating an algorithm to detect motorcycle gangs by training AI with thousands of CCTV videos from major cities, achieving over 90% accuracy in classification [17][18] - AI-integrated CCTV can transition from passive monitoring to proactive prediction of street crimes like motorcycle gangs, snatching, and theft [20][21][22] Collaboration & Community Involvement - AI cannot independently secure a city, necessitating community collaboration [23] - The team is developing a monitoring application that allows citizens to report incidents in areas without CCTV coverage, which will be verified by AI and authorities [24][25] - The application aims to foster collaboration between the community and AI to enhance city safety [26]