What Is A Computer Vision Platform?

Artificial Intelligence (AI), particularly through computer vision, is projected to significantly enhance global GDP by 2030, with manufacturing, professional services, and retail sectors poised to gain the most. Computer vision, which enables machines to interpret and understand visual information, is currently applied in diverse areas like gas leak detection and basketball shot tracking. The complexity of implementing computer vision solutions is mitigated by platforms that streamline the process of data collection, model training, and deployment. These platforms offer various techniques such as classification, object detection, and segmentation, providing different levels of detail for tasks ranging from simple image categorization to detailed object analysis. As technology advances, with more efficient models and better hardware, computer vision is becoming crucial for business operations, enhancing efficiency, reducing costs, and enabling automation. Businesses have options for developing custom solutions or leveraging existing platforms, including open-source options like Roboflow, which integrates with other tools and supports edge deployment. The future of computer vision promises real-time processing and new use cases as models become more capable and data requirements decrease, paving the way for broader applications in fields like augmented reality.