Imagine in an urban control center, an operator is reviewing dozens of live images from CCTV cameras throughout the city. They must keep their eyes glued to the massive video wall monitors throughout their entire work shift and detect any security threats or abnormal behavior.
However, the reality is that no human can view dozens of live images for hours with high accuracy, maintain their focus, and simultaneously make quick and precise decisions.
In contrast, artificial intelligence with high processing power and simultaneous data analysis can operate continuously, make no errors, and display only important information for the operator. This is where the role of artificial intelligence in video surveillance, and especially in video wall management, becomes a turning point.
What is AI-assisted Video Surveillance?
Traditional video surveillance systems only involve recording and capturing images. However by utilizing artificial intelligence (AI), these systems can analyze images, recognize patterns, identify abnormal behaviors, and intelligently issue alerts.
What is a Video Wall?
A Video Wall is a display wall consisting of multiple large monitors that simultaneously display images from CCTV cameras or various video sources. These systems are commonly used in urban control centers, airports, railway stations, and emergency operation centers.
What is Video Analytics?
Video analytics means using algorithms and machine learning models to identify and understand what is happening in a video. This analysis can include face recognition, object identification, person tracking, identifying unusual behaviors, and even predicting threats.
The Impact of Artificial Intelligence on Video Wall Efficiency
Artificial intelligence has revolutionized the performance of video walls. With the help of AI, instead of aimlessly displaying all video streams, only valuable and essential information is displayed to the operator. Below, you can see the most important effects of AI on video walls:
Reducing unnecessary information volume on video walls
By filtering data, only images that contain suspicious behavior or threats are displayed on the video wall. This increases operator focus.
Timely alerts and instant display on video walls
AI identifies and sends alerts about threats instantly. The related camera image is immediately magnified on the video wall, eliminating the need to search among multiple monitors.
Simultaneous analysis of multiple video streams without human error
While a human can only review a few monitors simultaneously, AI can analyze hundreds of video streams with high accuracy and without fatigue.
Prioritizing camera display based on threat level or event importance
The system can prioritize displaying cameras that have the highest probability of threat occurrence, for example, if a suspicious person appears near a building entrance.
Use Cases and Practical Examples of AI Applications in Video Wall Management
We mentioned that thanks to artificial intelligence, video walls not only display images but also understand and analyze them, sending necessary alerts before a golden opportunity or important reaction is missed. In these situations, the human operator’s role changes from a constant monitor to a strategic decision-maker. Continue with us to learn about use cases and practical examples of AI applications in video wall management:
Airports and public transportation stations: With high passenger volume, manual control is very difficult. AI can immediately alert by analyzing faces and detecting abandoned luggage, and highlight the related camera image on the video wall.
Urban and traffic centers: In traffic control rooms, AI can instantly detect accidents, unusual stops, or excessive congestion and immediately bring that area’s image to the video wall. This enables faster response from the urban management team.
Industry and factories: Using thermal cameras and AI analysis, equipment temperature increases or fire hazards are detected earlier, and the danger location image quickly appears on the operator’s video wall.
Conclusion
Using video walls without intelligent analysis is like looking at a forest of information without a guide; but with the introduction of artificial intelligence and video analytics, these visual walls have become intelligent tools that not only alert but also analyze, prioritize, and help with more accurate decision-making.
In today’s world where security, speed, and accuracy play vital roles, the combination of artificial intelligence and video walls can be the difference between a managed incident and a major crisis. This transformation redefines not only the future of video surveillance but also the future of public safety.