Embedding safety into in computer vision by improving data quality
According to the World Health Organization, there are 285 million visually impaired people around the world who not only live in darkness, but also suffer poverty caused by visual impairment. For those without the visual ability to perceive the outside world, AI can be used to convert the content or text they need to “see” the world so that they can still perceive the outside world with their other senses.
Hugo Tsai, Product VP of AngelEye’s company NextVPU, shared his team’s experience of using the Microsoft Trove saying for the AngelEye Smart Reader, an intelligent edge device based on computer vision that helps the vision impaired community, “We need a large number of pictures, and our internal team struggles to find the right quantity and breadth of categories. Trove connects us to partners all over the world who provide tremendously rich pictures”.
After using Trove to gather training data, Hugo Tsai found that the OCR character recognition accuracy has increased from 50% to 99.15%, which has significantly improved the experience of end users.