An Innovative and Revolutionary SME Machine-Learning AI-Powered Digital Stage, Predicted to Save 60+ Hours Per Role Cast

创新和革命性的中小企业机器学习人工智能数字舞台，预计每个角色节省 60 小时

• 批准号: 10004481
• 金额: $ 35.35万
• 依托单位: FLAIRCUBE LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10004481
• 关键词: Innovative; Revolutionary; SME; Machine; Learning

Flaircube Ltd (Flairbox), with a core team of Robert Eades, Elliot Janks and Peter Hickling, is revolutionising opportunities for performing arts professionals to connect and work together remotely. Flairbox's platform combines video sharing with machine learning to allow actors to easily upload videos that casting directors can efficiently sort, saving 60 hours per role cast. This solution will help the industry recover and retool following COVID-19 closures and will lead the way for equitable casting practices.Months 3 & 6, still in R & D whilst providing a digital stage to as many actors as possible, with a target of 5,000 by month 6\. Giving those actors a chance to return to their profession with somewhere to perform and be discovered for their work.By month 12, Flairbox will be utilising collected data in order to power their first iteration of a machine learning AI ranking system that breaks down barriers to entry for up to 7,500 actors and saves up to 60 hours per casting for casting directors.By month 18, Flairbox will have a commercially viable, machine learning AI powered ranking system available to every UK casting director and actor, with 12000 actors already using the platform to perform and find work. This technology will save more than 60 hours per casting, equating to more than £2,400 saved for producers for every role (£40/hr of casting director's time), whilst simultaneously removing current discrimination between actors based on: education, experience, location and socioeconomic background.

Flaircube Ltd (Flairbox) 的核心团队由 Robert Eades、Elliot Janks 和 Peter Hickling 组成，正在彻底改变表演艺术专业人士远程联系和合作的机会。 Flairbox 的平台将视频共享与机器学习相结合，让演员可以轻松上传视频，选角导演可以高效排序，为每个角色节省 60 个小时的时间。该解决方案将帮助行业在 COVID-19 关闭后恢复和重组，并将引领公平的选角实践。第 3 个月和第 6 个月，仍在研发阶段，同时为尽可能多的演员提供数字舞台，目标是到第 6 个月达到 5,000 名演员\。让这些演员有机会重返自己的职业，在某个地方表演，并因他们的作品而被发现。到第 12 个月，Flairbox 将利用收集到的数据来支持其机器学习 AI 排名系统的第一次迭代，该系统打破了多达 7,500 名演员的准入门槛，并为选角导演节省了每次选角最多 60 个小时的时间。到第 18 个月，Flairbox 将拥有一个商业上可行的、由机器学习 AI 驱动的排名系统，可供每个英国人使用 选角导演和演员，已有12000名演员使用该平台演出和找工作。这项技术将为每个选角节省 60 多个小时，相当于为每个角色的制片人节省 2,400 多英镑（选角导演的时间每小时 40 英镑），同时消除目前演员之间基于教育、经验、地点和社会经济背景的歧视。