2025-01-17

Airport Surveillance Recognition System

Airport surveillance AI recognition POC system using multimodal AI for anomaly detection and alerts

Tech Stack
OpenCV Multimodal AI Computer Vision Video Processing Anomaly Detection
Airport Surveillance Recognition System

City Police Department Airport Surveillance Intelligent Recognition POC System

📋 Project Overview

We developed a multimodal AI-based surveillance video intelligent recognition proof-of-concept system for a city police department's airport division. Airports, as important public safety venues, require real-time monitoring of various abnormal situations, including crowd gathering, queue congestion, and conflict incidents. Traditional manual monitoring methods have limited efficiency and difficulty in timely discovery and analysis of potential security risks. This system adopts GPT-4o-mini multimodal large language model, combined with OpenCV video processing technology, to achieve intelligent analysis and abnormal behavior detection of airport surveillance videos, providing AI-driven decision support tools for airport security.

🚀 Key Features

Core Implementation

  • Multimodal AI Video Analysis: Based on OpenAI GPT-4o-mini model's text + image understanding capabilities, achieving intelligent video content recognition
  • Real-time Video Frame Extraction: Used OpenCV for efficient video processing and key frame extraction
  • Scene Intelligent Recognition: Accurately recognized airport-specific scenes such as security queues, baggage carousels, and boarding gates
  • Abnormal Behavior Detection: Automatically detected security risks including crowd gathering, emotional anomalies, and behavioral pattern changes
  • Streamlit Interactive Interface: Provided intuitive video upload and analysis result display platform

Technical Highlights

  • Multimodal Large Language Model: GPT-4o-mini simultaneously processed visual and textual information, achieving composite scene understanding
  • Base64 Image Encoding: Efficient image data transmission and API call optimization
  • Real-time Emotion Analysis: Passenger emotional state recognition based on facial expressions and behavioral patterns
  • Structured Analysis Reports: Automatically generated detailed reports including people counting, scene types, and behavioral analysis

💻 Project Detail

Our airport surveillance intelligent recognition system is based on cutting-edge multimodal AI technology, achieving intelligent understanding of complex airport environments:

  1. Intelligent Video Preprocessing:

  2. Supported upload and processing of mainstream video formats including MP4, MOV, AVI

  3. Used OpenCV to capture surveillance video segments according to set time windows
  4. Customized time intervals for key frame extraction, optimizing analysis efficiency
  5. Automatically saved key frame images for subsequent AI analysis

  6. Multimodal AI Deep Analysis:

  7. Utilized OpenAI GPT-4o-mini multimodal model to analyze video frame content

  8. Achieved comprehensive understanding of people counting, venue recognition, and behavioral pattern analysis
  9. Supported emotion analysis (positive/negative/neutral), identifying passengers' psychological states
  10. Generated structured analysis reports containing quantified security assessment indicators

  11. Airport Scene Professional Recognition:

  12. Precisely recognized typical airport scenes such as security queues, baggage carousel congestion, and gate waiting

  13. Distinguished reasons for crowd gathering in different areas based on contextual understanding
  14. Analyzed passenger behavioral characteristics, including movement trajectories, dwell time, and interaction patterns
  15. Provided scene-specific security risk assessment and early warning recommendations

  16. Base64 Encoded Image Processing:

  17. Converted continuous video frames to Base64 encoded format

  18. Achieved efficient multimodal analysis through OpenAI Chat Completions API
  19. Optimized image transmission and processing performance, supporting high-resolution surveillance videos

  20. Intelligent Report Generation:

  21. Automatically generated comprehensive reports including people count, venues, behavioral patterns, emotions, and video summaries
  22. Provided timely situation summaries and security warning information
  23. Supported multi-dimensional data visualization and trend analysis

📊 Project Impact

Security Efficiency Enhancement:

  • Transformed traditional manual monitoring into AI-driven intelligent analysis, significantly reducing real-time monitoring burden on security personnel
  • Provided 24/7 uninterrupted intelligent monitoring analysis capability, improving speed of abnormal event discovery
  • Reduced subjectivity and omissions in human judgment through quantified analysis

Multimodal AI Technology Validation:

  • Successfully validated practical application value of GPT-4o-mini in complex scene video analysis
  • Demonstrated technical potential of multimodal large language models in public safety domains
  • Provided strong proof of technical feasibility for proof-of-concept stage

Decision Support Value:

  • Accurately identified various scene types and crowd behavioral patterns in airport environments
  • Provided data-supported decision basis and risk assessment for airport security
  • Enabled timely discovery of abnormal gathering and potential conflict warning signals

🛠️ Technology Stack

AI & Machine Learning:
  - OpenAI GPT-4o-mini (Multimodal Large Language Model)
  - Multimodal AI (Text + Image Understanding)
  - Computer Vision (Computer Vision Analysis)
  - Emotion Recognition (Emotion Recognition)

Video Processing:
  - OpenCV (Video Processing & Frame Extraction)
  - Multi-format Support (Multi-format Video Support)
  - Frame Extraction (Key Frame Extraction)
  - Image Preprocessing (Image Preprocessing)

Frontend & Interface:
  - Streamlit (Interactive Web Interface)
  - File Upload (Video File Upload)
  - Real-time Display (Real-time Result Display)
  - Progress Tracking (Processing Progress Tracking)

Data Processing:
  - Base64 Encoding (Image Encoding)
  - OpenAI Chat Completions API (AI Service Calls)
  - Structured Analysis (Structured Analysis)
  - JSON Data Processing (JSON Data Processing)

Development Environment:
  - Python (Core Development Language)
  - tempfile (Temporary File Management)
  - os (Operating System Interface)
  - python-dotenv (Environment Configuration Management)

Analysis Capabilities:
  - People Counting (People Counting)
  - Scene Recognition (Scene Recognition)
  - Behavior Analysis (Behavioral Pattern Analysis)
  - Emotion Analysis (Emotion Analysis)
  - Video Summarization (Video Summarization)

This project validated the application potential of multimodal AI in airport surveillance scenarios, providing cutting-edge technical exploration and proof of concept for intelligent monitoring in public safety.

Harvey

Full Stack Developer

A full-stack developer passionate about solving real-world business challenges, with expertise in data science and artificial intelligence.

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