In this article, we propose an efficient computing system for real-time SSDLite object detection on FPGA devices, which includes novel hardware architecture and system optimization techniques.

This research utilizes the YOLOv9c model, an advanced object detection web application, integrating it into a Flask framework. The proposed method involves dataset gathering from users, data ...

Built using OpenAI’s Agents SDK, this system integrates multimodal understanding (images + text) to deliver contextual property insights, value suggestions, and neighborhood analysis.

YOLOv13 seamlessly combines hypergraph computation with end-to-end information collaboration to deliver a more accurate, robust, and efficient real-time detection solution.