In today's fast-paced supply chain environment, warehouses must operate efficiently and accurately to keep up. Manual processes often cause errors, inefficiencies, and safety risks, making it hard for warehouses to meet modern logistics demands. Warehouse automation addresses these challenges by using technology to perform tasks and processes with minimal human intervention. Computer vision plays a pivotal role in revolutionizing warehouse automation by enabling machines to interpret and understand visual data using cameras, automating tasks traditionally performed by human workers. CV systems continuously capture visual data from the warehouse environment, converting it into actionable insights, reducing errors, and improving overall productivity. It transforms warehouse operations, from inventory management to quality control, significantly improving efficiency, accuracy, and safety. Computer vision powered robotic arms use algorithms to detect and recognize items, read barcodes or QR codes, and assess the quantity and condition of the inventory. CV systems analyze visual data to identify defects, damages, or non-compliance with quality standards, ensuring high product quality and minimizing errors. It provides spatial awareness to robotic systems, enabling them to navigate the warehouse environment safely and efficiently. Computer vision enhances warehouse security by monitoring for unauthorized access, theft, or other security breaches. It plays a vital role in ensuring workplace safety by detecting hazardous conditions and ensuring compliance with safety protocols. CV has numerous benefits including increased efficiency, improved accuracy, enhanced safety, real-time data and insights, cost savings, scalability, quality control, predictive maintenance, and improved security. However, implementing computer vision systems can be costly due to the need for high-quality cameras, computing resources, and networking infrastructure.