價格：免費
更新日期：2018-07-21
檔案大小：8.5M
目前版本：1.0.2
版本需求：Android 4.3 以上版本
官方網站：http://www.wynsuntech.com
Email：parkinslot1@gmail.com
ParkINSlot is an IOT platform kicked off in Jan 2017 with the objective of bringing a paradigm shift in the parking industry. As the market leaders, our vision and brand commitment is to deliver a customer experience in terms of parking solution, which is smart, connected and secure. With the advanced benefits of Smart Parking Technology, we focus on delivering services that would make enterprises, our environment and life smarter than in the future.
Our IoT services empower customers/end-users to locate the nearest parking slot, book & navigate to the designated parking area in real-time. We offer mobility enablement, transparency, security, real-time analytics, and consulting to create end-to-end solutions. Our IoT services also encompass managed services that ensures hassle free parking for public thereby saving fuel, energy & time alongside building a better world with eco-friendly compliant smart parking solution.
The major enablers or drivers for smart parking essentially are the problems of urban livability, transportation mobility and environment sustainability. Primarily Smart Parking technology is about enhancing the productivity levels and the service levels in operations. Some of the underlying benefits could be lowering operating costs, while building value for customer to drive occupancy, revenues and facility value when it comes to vendors. We have evolved from traditional servicing channels like tollbooth and parking attendants to incorporate automated smart device solutions. Parking is an enormous revenue generating industry, which has seen minimalistic innovations and implementations. Finally, in the long run, smart parking can actually transform the very makeup of our urban landscapes, making them more amenable to people rather than cars/bikes. Street-to-Vehicle communication would be pivotal and crucial along with the Vehicle-to-Vehicle communication as the success and market readiness of Autonomous vehicle ecosystem lies in collecting and interpreting the data at the Street Level.
