In modern supply chains, ensuring trustworthy product tracking and verification remains a significant challenge due to the limitations of centralized data management systems. This paper presents a Vision-to-Blockchain framework that integrates both computer vision and blockchain technologies to establish a secure link between physical products and their digital records. An Ethereum-based smart contract is employed to store product information and ensure data integrity, providing immutability and security. A YOLO-based computer vision module is used to detect and decode barcodes from the live camera, enabling real-time product identification and verification. Product records are automatically logged into the blockchain from structured datasets, while a Streamlit-based web application provides user-friendly interfaces for product registration, search, and camera-based verification. The proposed framework demonstrates that combining vision and blockchain enhances transparency, integrity, and efficiency in product tracking, making it suitable for supply chain and inventory management applications.