Unlocking the potential of Computer Vision (CV) for SMEs -- Development of an AI platform enabling non-technical users to build advanced CV applications

释放中小企业计算机视觉 (CV) 的潜力——开发人工智能平台，使非技术用户能够构建先进的 CV 应用程序

• 批准号: 10033899
• 金额: $ 49.55万
• 依托单位: METALYNX LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10033899
• 关键词: Unlocking; potential; Computer; Vision; CV

**Unlocking the potential of Computer Vision for SMEs - Development of an AI platform enabling non-technical users to build advanced CV applications**There is a significant amount of useful information and value locked in visual images, however the high cost of computer vision expertise and the time it takes to analyse and curate the data, means it's currently impossible for UK SMEs to fully realise its potential.From helping doctors diagnose medical conditions, to detecting crop disease by drones, to ensuring safety protocols on construction sites, computer vision has the potential to unlock new growth and efficiency opportunities across a wide variety of sectors.Unfortunately SMEs rarely have the CV expertise required, and the cost to hire/contract this expertise can be prohibitively expensive. Even then highly-skilled CV scientists are spending ~80% of their time on data curation alone\[3\], with their lack of domain expertise then leading to underperforming, unusable models\[4,5\]. Such challenges result in 55% of projects never making it to production\[3\].To increase adoption, solutions need to speed-up data curation processes, reduce curation costs and become more accessible to those without technical training. Organisations such as hospitals and manufacturers own both vast amounts of visual data and the domain expertise to interpret it, making them ideally placed to create impactful CV applications. Empowering them to build their own application can help accelerate AI-adoption and the resulting benefits.Collaborating with medical imaging experts at King's College London and retinal imaging SME Optos, Metalynx aims to significantly increase CV adoption amongst UK SMEs by removing the key barriers to adoption -- cost and expertise -- through the development of accessible tools to build advanced CV applications, easily.The ultimate aim of the project is to develop an easy to use, low cost CV technology stack for SMEs that can be used to create advanced applications, without any technical training and can seamlessly integrate into existing works flows to unlock value in already collected data.

**解锁计算机视觉对中小型企业的潜力 - 开发AI平台，使非技术用户能够构建先进的CV应用程序** **有大量有用的信息和锁定在视觉图像中的有用信息和价值，但是计算机视觉专业知识的高成本及其在分析和策划数据的时间是不可能的，这意味着要在英国的疾病中实现其潜在的疾病。在施工站点上，计算机视觉有可能释放各种领域的新增长和效率机会。即使那样，高技能的简历科学家仍将大约80％的时间用于数据策展\ [3 \]，因为他们缺乏域专业知识，因此导致了表现不佳，无法使用的模型\ [4,5 \]。这种挑战导致55％的项目从未进入生产\ [3 \]。要增加采用率，解决方案需要加快数据策划过程，降低策划成本并在没有技术培训的人中更容易获得。医院和制造商等组织既拥有大量的视觉数据，又拥有域专业知识来解释它，从而使它们成为创建有影响力的CV应用程序的理想位置。授权他们建立自己的应用可以帮助加速AI-Adeption和由此产生的好处。与伦敦国王学院的医学成像专家进行合并，Metalynx的旨在显着提高英国SME中的CV采用CV，从而通过删除采用的关键障碍来实现IS的关键障碍，以实现IS的最终范围，以开发IS的关键障碍，以开发IS的高级CV，从而开发了CV的开发。使用，低成本的简历技术堆栈用于中小企业，可用于创建高级应用程序，而无需任何技术培训，并且可以无缝集成到现有的作品流中，以在已经收集的数据中解锁价值。