AI-based target search and retrieval application using camera and video data

The product was developed based on practical needs in ensuring social security and traffic safety.

Nowadays, monitoring traffic violations and criminal incidents is often supported by surveillance camera systems. However, the process of searching and retrieving information from video data requires a significant amount of time and effort from personnel, especially when dealing with numerous videos from various sources.

The idea for this product emerged to automate and enhance the efficiency of searching for monitored subjects, such as traffic violators or criminal behavior, through the use of artificial intelligence (AI).

This product addresses the issue by using advanced AI models to search and analyze information from camera data based on natural language descriptions. This not only saves time and resources but also improves the accuracy of monitoring and detecting violations.

WeBuilds application has many useful features. Photo courtesy of WeBuild — WeBuild's application has many useful features. Photo courtesy of WeBuild

Key features:

Natural Query-Based Search: The system allows you to input a descriptive query, such as "find a person wearing a red shirt and black pants who was riding a bike in front of the garden." Using advanced AI technology, the system will analyze data from the cameras and quickly locate the matching subject.

Extracting Related Images: Once results are found, the system will return images or video clips from the cameras, clearly showing the identified subject, making it easier to track and verify information.

Event Time and Timestamp Identification: Each result is linked to a specific time and event timestamp, enabling users to accurately track and review the exact moment the event occurred, which supports investigation and handling of the situation.

Integration of Multiple Camera Sources: The system has the capability to search by combining data from multiple cameras with video input from various sources.

Object Classification and Tagging: Using AI technology, the system automatically classifies and tags relevant objects in the video, making the tracking process easier and more efficient.

With this system, we aim to help many organizations optimize their surveillance processes, reduce search time, and improve work efficiency. Our system has already been deployed and received positive feedback, proving its high applicability in practice.

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