Browser-based live object recognition

This implementation addresses central challenges of computer vision and AI-supported image analysis through an innovative, browser-based approach. The developed system enables the immediate processing and visualization of object recognition data while minimizing the server load.

In contrast to conventional implementations, in which the visualization of object recognition data is typically generated on the server side or realized by native applications, this solution follows a decentralized approach: The rendering logic is executed entirely in the browser. This architectural decision not only enables a significant reduction in server load, but also opens up new possibilities for interactive analyses and display formats. The JSON streaming data is processed on the client side in real time, which minimizes latency and optimizes the scalability of the system. By using modern web APIs and browser technologies, complex visualizations can be implemented without additional plug-in installations or native components. This approach results in a platform-independent solution that can be flexibly integrated into existing web applications.