Efficient parking lot management system for parking attendants based on real-time impulsive sound detection and voice command recognition

The mission of parking attendants includes several tasks. One can mention, the supervision of automobile access, the management of parking facility, and the promotion of parking areas safety. Therefore, an intelligent system which allows carrying out some tasks only by speaking will definitely help attendants to complete their mission properly. The solution we propose activates the main computer to listen and promptly recognizes commands spoken in Arabic by the parking attendant in real-time. It seamlessly performs various tasks, including (i) opening and closing the main barrier, (ii) controlling the lights in the parking area automatically, and (iii) triggering and stopping theft alarms. The solution is based on two main phases: (i) querying the computer in real time through an impulsive waveform such as hands clapping, (ii) and recognizing voice commands. The first phase is accomplished using impulsive sound identification technique based on normalized version of power sequences. However, the second phase uses Google's application programming interface. The software was designed using Python language. We controlled external hardware such as parking barrier, light bulb, and alarm device using Arduino board. The execution time of the proposed software is nearly real-time and ranges from 5 to 6 seconds. The average subjective evaluation score conducted by 6 users is 4/5.