Inspiration
In crowded carparks where drivers have to spend long periods of time to find a slot, cars become idle, resulting in large losses in petrol and productivity. When idle, car exhausts also emit pollutants that affect the environment and our health. One reason for car idling is inefficient parking solutions in urban areas. According to City Monitor, parking management is the best way to combat this problem.
Problem Statement
How may we reduce a car's waiting time and increase the efficiency of finding available parking lots in crowded carparks?
What it does
Our solution is a user-friendly mobile application and IoT system that enables drivers to find available parking spots in crowded carparks. No interactivity on the user end required (it is unsafe to use your phone while driving)! Drivers simply need to launch the app and look for available parking lots on ANY floor of a multi-storey carpark (updated in real time).
How we built it
Hardware : We created a model made with cardboard of a multi-storey carpark. This multi-storey carpark is lined with functional IoT electronics that detect the occupancy of each parking lot. Software : A ReactJS app connects the hardware components and physical prototype to a functional user interface where users can see which parking lots are available in real time.
Challenges we ran into
We did not have enough tools to create our prototype, and had to go out to get them or make do without. There was also a learning curve to creating ReactJS apps with dynamic drawings created purely with ReactJS libraries.
Accomplishments that we're proud of
We managed to produce a workable, functional prototype and great marketing material to introduce our product.
What we learned
To ensure that roles and ideation is established well from the start. To be realistic in our expectations of what we can create in less than 15 hours.
What's next for Car-Tell
Car-Tell intends on implementing this solution to outdoor parking spaces, allow drivers to search for the lot their car is in, measure and predict traffic in different carparks, and use an "amber system" that predicts which lots would be occupied soon.
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