Monitoring the appearance of kitchen mice using FPGA based motion object detection technology

Motion target detection plays a crucial role in the field of computer vision, and it is especially important for scenarios that involve real-time monitoring and analysis of dynamic objects, such as systems that monitor rodent activity in kitchen environments. Given that the kitchen is an important place for food safety, the presence of rodents is likely to lead to serious hygiene and health hazards. Therefore, the adoption of efficient moving target detection techniques can instantly recognize and respond to these problems, ensuring that high hygiene and safety standards are maintained in the kitchen. This study focuses on the design and implementation details of a motion target detection system based on FPGA architecture. FPGA (Field Programmable Logic Gate Array), with its powerful parallel processing capability, greatly enhances the processing speed and system response time. The core algorithm of the system adopts the inter-frame difference method, which analyzes the pixel differences between consecutive video frames to identify and track the moving objects. Leveraging the parallel computing advantages of FPGA, the system realizes the fast and accurate positioning of the moving targets and the drawing of bounding boxes, which contributes to a set of highly efficient and robust kitchen rodent monitoring system, greatly enhances the monitoring performance and accuracy, and provides a solid foundation for immediate feedback and hygiene risk management. This provides a solid foundation for immediate feedback and hygiene risk management. In summary, FPGA-based motion target detection technology provides a revolutionary solution for kitchen rodent surveillance, demonstrating its broad applicability and potential in video surveillance and automation applications. Going forward, as the technology evolves and the range of applications expands, we look forward to continuing to optimize system performance to meet even more diverse real-time surveillance needs.