This model will predict the number of lots available in a parking place
The number of people who drive their cars every day has increased dramatically in recent years. However, because road and parking garage capacity has historically lagged behind the rise of automobiles, finding a parking place is becoming a far more difficult challenge in practically in every country.
In this work, implementation of predicting parking lots is performed using image processing techniques. The techniques involved in this work are image subtraction, image conversions, morphological operations, blob detection, finding image region properties, vehicle and parking lot detection. Our proposed model will provide better results compared to existing works
Keywords: Image conversions, Morphological operations, Blob detection, Region Properties, Vehicle detection, Parking lot detection
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Software: Matlab 2018a or above
Hardware:
Operating Systems:
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB