SmartLight.ai - Bringing AIoT to the Street Lighting Industry - Enhanced Feasibility

SmartLight.ai正在将新兴的嵌入式人工智能（TinyML/AIoT）技术引入公共基础设施，以帮助当局实现其净零排放目标。其第一个产品-目前正在开发中-是一种在照明点自动控制城市街道照明的方法，通过计算机视觉算法自动优化周围环境的照明水平，然后通过网络分发此信息。这一正在申请专利的解决方案采用安装在每盏路灯上的设备的形式。该解决方案将通过在需要的地方/时间集中光能，并在不活动的区域/时段调光，来解决城市面临的五个关键挑战：能源使用/碳排放、运行成本、光污染、安全和夜间经济。地方当局需要解决这五个关键城市挑战，作为其净零目标的一部分。如今，几乎没有任何尖端的解决方案可以利用任何新兴技术来应对这些挑战。当今的市场由大型、缓慢发展的组织主导，通过中央管理系统（CMS）提供“智能照明”，该系统利用简单的物联网技术，这在20年前代表了尖端技术。提供这项服务的公司包括Telensa、Engie和菲利普斯照明/Signify等大型组织。它们在大都市地区很常见，可以负担得起监控开销。对于利用新兴技术的新系统存在强烈需求，例如AIoT.SmartLight.ai在“可持续创新基金：SBRI”项目下成功证明了早期可行性。该项目将在现有能力的基础上，通过在该项目中证明增强的可行性。它将表明，在实验室环境中工作的相同技术现在足够强大，可以与真实的世界数据和输入一起工作。

SmartLight.ai is bringing the emerging technology of the Embedded Artificial Intelligence (TinyML/AIoT) to public infrastructure to help authorities reach their Net Zero goals. Its first product - currently in development - is a means to autonomously control urban street lighting at the point of illumination, autonomously optimising lighting levels to the surrounding environment though Computer Vision algorithms, then distributing this information over a network. The patent-pending solution takes the form of a device mounted to each streetlight.This solution will address the five key urban challenges; Energy Usage/Carbon Emission, Running Cost, Light Pollution, Safety, and Night-time Economy by focusing light energy where/when it is required, and dimming in areas/periods of inactivity.Local authorities have a need to address these five key urban challenges as part of their Net Zero goals. Today, there are few cutting edge solutions which address these challenges utilising any kind of emerging technology.The market today is dominated by large, slow-moving organisations, providing "smart lighting" through Central Management Systems (CMS), which utilise simple IoT technologies, which represented cutting-edge technology 20 years ago. Firms offering the service include large organisations such Telensa, Engie, and Phillips Lighting/Signify. They are common in large metropolitan areas, which can afford the monitoring overhead.There exists a strong demand for a new system which utilises emerging technologies such as AIoT.SmartLight.ai was successful in proving Early Feasibility under "The Sustainable Innovation Fund: SBRI" project. This focused on laboratory-based feasibility.This project will build on an existing capability by proving Enhanced Feasibility in this project. It will show that the same technologies which worked in a laboratory setting, are now robust enough to work with real world data and inputs.