  An improvement in technology is linearly related to time and time-relevant
problems. It has been seen that as time progresses, the number of problems
humans face also increases. However, technology to resolve these problems tends
to improve as well. One of the earliest existing problems which started with
the invention of vehicles was parking. The ease of resolving this problem using
technology has evolved over the years but the problem of parking still remains
unsolved. The main reason behind this is that parking does not only involve one
problem but it consists of a set of problems within itself. One of these
problems is the occupancy detection of the parking slots in a distributed
parking ecosystem. In a distributed system, users would find preferable parking
spaces as opposed to random parking spaces. In this paper, we propose a
web-based application as a solution for parking space detection in different
parking spaces. The solution is based on Computer Vision (CV) and is built
using the Django framework written in Python 3.0. The solution works to resolve
the occupancy detection problem along with providing the user the option to
determine the block based on availability and his preference. The evaluation
results for our proposed system are promising and efficient. The proposed
system can also be integrated with different systems and be used for solving
other relevant parking problems.
