From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

Practical application of computer vision in business

From the course: Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

Practical application of computer vision in business

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- [Presenter] Computer vision is used in many business applications. In retail, computer vision is used for inventory management, shelf monitoring, and cashierless checkouts. Stores like Amazon Go use it to detect the items customers choose without needing a physical checkout. On e-commerce platforms, when merchants upload product images, computer vision generates tags and descriptions, helping users easily find what they want. In healthcare, computer vision aids in medical image analysis, reducing human error and improving diagnosis accuracy. It's a tool that helps doctors make more reliable decisions. It also helps researchers analyze vast image datasets to identify disease patterns, improve treatment outcomes, and track public health trends. In sports, advanced computer vision technology is used to enhance performance and reduce injury risks. Microsoft's partnership with USA Surfing is a great example. Using Azure AI vision, they analyze athletes movements, surfboards, and wave conditions to help pro surfers perform better and stay safer. This same technology is used in motion tracking for other sports to boost athletes performance. In manufacturing, computer vision is critical for quality control. It automates visual inspections, ensuring products meet quality standards. Azure's visual inspection capabilities are a common solution for identifying defects on production lines. For autonomous vehicles, computer vision is essential. It enables vehicles to see and understand their surroundings, enhancing both safety and efficiency as cars navigate on their own. Facial verification is a major security application of computer vision. It's the technology behind face ID on phones, which matches your face to a stored image to unlock your device. At a larger scale, Interpol uses facial recognition to maintain a global criminal database. In finance, mobile banking apps use facial verification to verify users identities by comparing live images with government IDs. This ensures secure and smooth user access to financial services. Computer vision is also used in fields like agriculture crop monitoring, construction site management and quality control, wildlife conservation, ecosystem tracking, smart city traffic management, and the list will keep on growing.

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