GitHub / ndcastillo / Parking-Slot-Detection

The detection of available spaces in a parking lot can be done in many ways, through ultrasonic transducers, viewers, electromagnetic plates, among others. The systems and methodologies are very varied, from basic digital circuitry to intelligent systems with IoT technology. In the following repository, a solution is given through cross-correlation analysis and the k-means algorithm for the detection of available spaces in a car park, in which the number of available spaces with the denomination of P (Regular Parking) will be counted. and E (Disabled People), and the pair of coordinates that represents the available place will also be found. This in turn has a graphical interface to properly display the results and the system will be tested for 10 different cases of parking.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ndcastillo%2FParking-Slot-Detection

Topics: binarization, correlation-coefficient, image-processing, image-recognition, image-viewer, k-means-clustering, matlab, parking-lot

Files