"Design a comprehensive computer vision system for retail analytics, incorporating advanced object detection, customer tracking, and sales forecasting capabilities. Provide a detailed, step-by-step approach, including technical specifications and examples, tailored for advanced users with a strong background in AI and computer vision. Ensure the explanation reflects a sophisticated understanding of the technologies involved.** Address the following components:** ## 1.** Object Detection:** * Specify the deep learning architectures and models suitable for retail environments. * Discuss the importance of dataset quality and annotation for model training. ## 2.** Customer Tracking:** * Outline the methods for tracking customer movement and behavior within the store. * Explain the integration of tracking data with sales forecasting models. ## 3.** Sales Forecasting:** * Describe the machine learning algorithms and techniques applicable to retail sales forecasting. * Discuss the role of historical sales data, seasonal trends, and external factors in model development. Clearly articulate the technical considerations and thought process behind each component, ensuring the explanation is concise, coherent, and tailored to an advanced audience."