NVIDIA® Jetson™ Developer Challenge


Winners announced


Thanks to all Participants!

  • PRIZE POOL $42,789
  • DATE Oct 23, 2017 - Feb 18, 2018 23:59 GMT

NVIDIA® Jetson™ Developer Challenge


Parking Guidance System

Project description

Now days in many shopping malls and large work places, finding a free car parking slot is a real pain. There will be many floors and lanes for car parking, so to park a car one has to search and roam around to find a free slot. And to effectively manage parking, there is a lot of men labor used currently which is a huge recurring investment. Use of automated system for car parking monitoring will reduce the human efforts. It would reduce average fuel consumption, carbon foot print and time to park a car. Parking management system available in the market today uses sensors in each parking slot and use the data from sensors to show free slots.This approach is very costly because you need sensor in every parking >slot.In this project we are creating a proof of concept for an intelligent car parking system model which uses sensors only at the entrance of each lane and uses an intuitive algorithm to determine free slots. This reduces the product and installation cost by 90compared to current solutions in the market.The project involves a system including motion detector at every entrance and exit of lanes and LEDs to indicate vacant slots in each lane. We are planning to use Rasperry pi for the programming and communication between sensors. We are also looking for options like using micro controllers instead of Rasperry pi to reduce cost further.