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Computer Vision in Smart Cities

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Computer Vision in Smart Cities

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  1. COMPUTER VISION IN SMART CITIES www.hdatasystems.com info@hyperlinkinfosystem.com

  2. INTRODUCTION TO SMART CITIES Cities are increasingly adopting AI to optimize operations. Computer vision offers real-time visibility into public spaces. Enables faster decision-making and improved citizen experience.

  3. WHAT IS COMPUTER VISION? AI that allows systems to interpret and analyze visual data. Used for surveillance, movement tracking, and pattern detection. Forms the backbone of smart city automation.

  4. DATA & ANALYTICS LAYER Insights dashboards for city officials. Heat maps for traffic, crime, and resource usage. Predictive analytics for future planning.

  5. CHALLENGES TO CONSIDER 67% Privacy & data protection High infrastructure cost Need for scalable storage + connectivity Model accuracy in diverse environments

  6. TECHNOLOGIES BEHIND SMART CITY COMPUTER VISION Seri 1 Seri 2 Seri 3 Deep learning models Edge AI devices IoT sensors + cameras Cloud analytics platforms 140 120 100 80 60 40 20 0 Item 1 Item 2 Item 3 Item 4 Item 5

  7. USE CASE 1: SMART TRAFFIC MANAGEMENT Detect violations in real time. AI adjusts traffic lights automatically. Reduces travel time and fuel consumption. congestion, accidents, and signal

  8. USE CASE 2: PUBLIC SAFETY & SURVEILLANCE Real-time threat detection (fights, intrusions, unusual movements). Missing person identification using vision analytics. Enables faster law enforcement response.

  9. CONCLUSION Computer vision is transforming urban environments into efficient, safe, and data-driven smart cities. With AI infrastructure, cities can monitor, predict, and respond in real time — creating better living experiences for every citizen.

  10. THANK YOU www.hdatasystems.com info@hyperlinkinfosystem.com

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