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Sodacar
创建移动即服务
概述
公司介绍
苏打出行是一家专注于智能汽车和智能出行解决方案的科技创新公司。他们在远程信息处理、汽车共享解决方案和数据驱动的 SaaS 平台上拥有成熟的技术。 SODA 正在构建平台,为 Next Mobility 提供动力。他们正以大数据、移动互联网和合作经济的创新,推动车联网,推动下一次出行的脉搏。 Soda Mobility 提供端到端解决方案,使移动运营商能够推出大规模的汽车共享服务。他们的解决方案提供强大的车载技术、符合汽车标准、便于日常运营的后台办公室以及提供无缝和直观用户体验的白标移动应用程序。
物联网应用简介
Sodacar 是应用基础设施与中间件, 和 功能应用等工业物联网科技方面的供应商。.
技术栈
Sodacar的技术栈描绘了Sodacar在应用基础设施与中间件, 和 功能应用等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
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同类供应商.
Supplier
SafeFleet
SafeFleet is one of the most innovative companies in the field of machine-to-machine (M2M) in Romania with branches in Italy, Poland, Hungary and in several Balkan countries. For the last 12 years, emerging technologies have been adopted by their R&D team, implemented in products that bring value to their customers.
Supplier
NetraDyne
At NetraDyne, they are creating a unique end-to-end IoT solution pushing Deep Learning processing to the edge. They are well positioned to leverage the growing trend where video is driving advanced analytics and business intelligence. Through processing visual and sensory inputs, they are targeting industries where timeliness of actionable data is a key differentiator of performance. There is a continuing technology movement that is driving rapid improvements in camera technology together with reductions in the cost of sensors, processing, and connectivity. These improvements, along with advancements in deep learning technology, have created a perfect opportunity to deliver vision based solutions across multiple industries.
Supplier
SafeMode
SafeMode aims to eliminate human factor accidents for fleets & MaaS platforms fleets. SafeMode profiles driver behavior Using Big Data & AI algorithms based on Behavioral economics techniques and affects drivers to drive smoothly & alert, reduce texting while driving and to improve their safety. Safemode vision is to enable autonomous vehicles to drive in the co-existence decades- to better understand the context of driving surrounding by human-driven cars. By applying predictive AI layer on the driver's profile, SafeMode will predict the human drivers next actions for better autonomous decision making.