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www.metrorailnews.in METRO RAIL NEWS -AUGUST - 2025 39Challenges in Deploying AI-Powered Surveillance 1. High Initial Cost%u2022One of the major challenges in implementing an AIpowered surveillance system in rail networks is the high initial investment. The costs include purchasing advanced surveillance equipment, upgrading infrastructure, and integrating AI software. These requirements make it difficult to deploy AI-powered surveillance systems on a large scale.2. Data Management Complexity: %u2022AI surveillance systems generate vast amounts of video footage and sensor data. Handling this data in real time requires strong infrastructure and cybersecurity, making data management a crucial challenge in the implementation of an AI-powered surveillance system. 3. Integration with Existing Infrastructure%u2022Many railway systems operate with outdated control rooms and analog surveillance networks. Integrating AI technologies into such legacy setups requires extensive upgrades or replacement, which is technically complex and financially draining. These challenges often slow down the implementation of AI surveillance systems and reduce the overall efficiency.4. Cybersecurity Threats%u2022AI-powered surveillance systems are vulnerable to hacking, data breaches, and system manipulation. A compromised surveillance system could expose sensitive data or disrupt security responses, making cybersecurity a top priority and ongoing challenge in deployment and operation.ConclusionThe adoption of an AI-powered surveillance system represents a pivotal advancement in strengthening rail network security and operational resilience. As urban centres continue to grow and passenger volumes surge, conventional surveillance methods struggle to meet the demands of today%u2019s complex transit systems. AI technologies offer a smarter, more responsive alternative that enables real-time monitoring, early threat detection, and faster emergency intervention. These systems not only improve passenger safety but also support predictive maintenance and data-driven decision-making for long-term planning. The Bangalore Metro%u2019s deployment of AI-driven CCTV Cameras illustrates how Indian rail networks are beginning to embrace this shift. However, challenges such as high initial investment, cybersecurity concerns, and integration with outdated infrastructure remain key barriers. Despite these obstacles, the long-term advantages, ranging from reduced human error and data-driven insights for future Planning, highlight the AI%u2019s potential to revolutionise public transport and build safer, smarter rail systems for the future.www.metrorailnews.in METRO RAIL NEWS -AUGUST- 202539TRAINTECHNOLOGY