Conrado Mariano IV de Leon | Karen May Abis | Justnine Rabe
The study developed a system that alleviates the workload of traffic enforcers in dealing with drivers who are violating the parking regulations. This system used Raspberry Pi paired with Raspberry Pi NoIR camera module to monitor illegal parking areas. The videos streamed were used as an input to the system and underwent image processing to extract the plate number of the vehicle, notify the traffic enforcer and gather evidence as a basis for apprehension. This eliminates roving teams that monitor different areas as well as saves time when dealing with unruly violators. SMS notification is utilized to inform traffic enforcers after the system has detected an illegal parking violator. This was based on the premise that mobile phones are handier and more capable of transmitting and receiving notification as it utilizes full duplex operation compared to handheld radios that utilize half duplex operation. With the use of this system, the existing apprehension schemes used by traffic enforcers are enhanced since the system is fully automated and the manual human intervention is no longer necessary.
ISSN 1908-3866 (Print)
Philippine E-Journals
