AegisNet: AI-Powered Smart City Surveillance and Criminal Tracking System
📰 Dev.to · Ali Khan
Learn how AegisNet uses AI to track criminals in smart cities and understand the tech behind it
Action Steps
- Build a computer vision model using YOLO or SSD to detect objects in surveillance footage
- Configure a graph database to store and query relationships between entities
- Apply machine learning algorithms to predict criminal behavior and track patterns
- Test the system using simulated data or real-world footage
- Integrate the system with existing law enforcement databases and APIs
Who Needs to Know This
Data scientists, software engineers, and law enforcement officials can benefit from this article to develop and implement AI-powered surveillance systems
Key Insight
💡 AegisNet uses AI and computer vision to track criminals in smart cities, providing a powerful tool for law enforcement
Share This
🚨 AI-powered smart city surveillance is coming! 🚨 Learn how AegisNet tracks criminals across entire cities #AI #SmartCity #Surveillance
DeepCamp AI