EasyParking

EasyParking make parking easy

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Inspiration

When I parked at school, I often encountered the car park is full of cars, this time we need to browse through multiple car parks to find an empty parking space, so we made this project, you can intuitively find the right parking space in the mobile browser!

What it does

This project monitors the number and location of empty parking spaces by reading the image data from the parking lot cameras to determine if there is a vehicle parked in each space, thus helping students find the right space faster.

How we built it

  1. Read the parking lot image data returned by the camera, use yolo8 to predict the parking lot image, and obtain whether there is a vehicle in each parking space
  2. Predict the occupancy of each parking space and save it to the database.
  3. The front-end web reads the return from the back-end and displays the occupancy ratio of each parking lot and the occupancy of each parking space.

Challenges we ran into

  1. we need to find a suitable model to predict the parking lot data, the general yolo model has very low accuracy in predicting parking spaces in the parking lot
  2. We need to match the predicted data of the pictures with the parking spaces through opencv. 3.We need to display parking lot information visually, and our front-end knowledge is weak.

Accomplishments that we're proud of

  1. Acquire more front-end knowledge.
  2. Realize the parking space management system at a very low cost - General parking space management system is based on hardware equipment, which needs to be installed under each parking space, while our system only needs to install additional cameras around the parking space, it can more accurately realize the parking space monitoring.

What we learned

  1. image recognition with yolo
  2. image processing with opencv 3.flask framework to realise the front-end page 4.project decomposition and realisation

What's next for EasyParking

  1. Realise the connection of camera data for analysis and processing
  2. At present, we only realise the detection and display of one car park, and in the future, we will realise the detection of multiple car parks.
  3. Optimise the front-end page to make it suitable for mobile phones.
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