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Core Technical Principles and Applications This technology primarily relies on built-in high-resolution cameras and edge computing devices that run complex computer vision algorithms either locally or in the cloud. 1. Product Identification and Touchless Purchase: Users simply hold a product in front of the camera. The AI system captures the image in real-time and compares it against a vast product database using deep learning models. It accurately identifies the product category, brand, and even specific SKU (e.g., "330ml can of Coca-Cola" vs. "500ml bottle of Coca-Cola") within milliseconds.This enables the ultimate "Grab and Go vending machine" shopping experience. Users no longer need to find product numbers, scan barcodes, or manually check out. After selecting their items, the system automatically completes identification and payment. This process is not only faster but also more hygienic and safer, especially in the post-pandemic era. 2. Dynamic Inventory Management and Accurate Forecasting: This enables 100% accurate real-time inventory management. Operators can remotely access the most precise stock data, eliminating the estimation errors inherent in traditional pulse-based methods. The system can also generate optimized restocking lists and routes based on historical sales data and real-time inventory, significantly reducing lost sales from stockouts and lowering labor costs for restocking personnel. 3.Consumer Behavior Analysis:This data provides unprecedented valuable insights. Operators can use it to optimize product selection and placement, putting high-margin or best-selling items in prime locations. Brands can understand genuine user interaction with their products to evaluate promotional campaign effectiveness. It can even enable personalized screen advertisements based on user preferences, creating a new stream of advertising revenue 4.Loss Prevention and Security:The AI system can identify suspicious behavior, such as repeatedly picking up and putting down items without purchasing, violently shaking the machine, or attempted theft. Upon detecting anomalies, the system can trigger a local alarm or immediately notify a remote administrator.This provides a powerful security layer for unattended vending machines, effectively reducing economic losses caused by theft, vandalism, or transaction disputes.

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