As the population increases, the number of motorized vehicles used also
increases. Motorized vehicles are parked haphazardly, which results in the availability of
efficiently full parking slots. This parking problem often occurs at the ITTelkom Surabaya
Campus, where students and lecturers need help finding available parking slots, and their
time is wasted. Therefore, an information and monitoring system design was made
regarding the availability of parking slots based on Images Processing and IoT which are
expected to be implemented at the ITTelkom Surabaya Campus. The information system
uses real-time image capture with the ESP-32 CAM microcontroller as the camera and
the ESP8266 microcontroller as the 16x2 I2C LCD power. Image acquisition using the
Canny Edge Detection method only and the Canny Edge Detection method followed by
Closing morphology for comparison. Parking availability output is displayed on the
Open-CV, Antares, and 16x2 I2C LCD. Image processing is based on four parameters:
min threshold = 100, max threshold = 400, min pixels = 0, and max pixels = 225. System
testing based on these parameters results in the Canny Edge Detection method followed
by better Closing morphology than the application of the Canny Edge Detection method
just. The test was carried out with 50 experiments of the wireless system using Black Box
Testing, which produced results that were very consistent with the system. However, the
delay value on the wireless system gets an average of 5.61 seconds, which is quite good to
implement in real terms.