A prototype of parking space information system based on Image Processing

An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-storey parking lots, officers cannot always monitor the available parking conditions directly so that prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software or a combination of hardware and software. To the best of our knowledge, no software-based framework is fully used on this system. Therefore, in this study, an automatic parking system based on camera sensors and software is proposed which is combined into an information system. The proposed system uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with light intensity of 3 lux, 15 lux, 30 lux, 60 lux, 120 lux, and 250 lux. Average processing time is 1.59 seconds. From this study, it is hoped that this prototype can be tested on relevant environmental conditions so that it can be implemented in parking lots.