Please draw a BioRender-style framework diagram for a Dual-Camera Real-Time Stitching System for Dashcam Applications：The "Dual-Camera Real-Time Stitching System for Dashcam Applications" project focuses on developing an advanced real-time video stitching solution for dual-camera dashcam systems in automotive applications. The goal is to improve driving safety and surveillance coverage by automatically combining video streams from front and rear cameras into a seamless panoramic view. The project leverages cutting-edge computer vision technologies, including real-time image processing, advanced stitching algorithms, and intelligent seam detection, built on an optimized embedded processing framework. Key features include multi-camera synchronization, real-time panoramic stitching, intelligent seam blending, and adaptive exposure compensation for varying lighting conditions. This system enhances driving safety by providing drivers with a comprehensive 360-degree view of their surroundings, significantly improving situational awareness and reducing blind spots. It has substantial applications in automotive safety, surveillance systems, and advanced driver assistance systems (ADAS) by offering high-quality panoramic video output, low-latency processing, and robust performance in diverse environmental conditions.