Parking lot vehicle positioning system and method based on low frequency active radio frequency identification technology

Abstract

The invention provides a parking lot vehicle positioning system and a method based on the low frequency active radio frequency identification technology. The system comprises a control box set, a card reader, a vehicle detector and an antenna, wherein the control box set is respectively connected with the card reader, the vehicle detector and the antenna, and the antenna and the card reader are connected in a wireless mode. The invention further provides the corresponding method. Through the system and the method, an occupation state of each parking place and a specific parking place of each vehicle can be accurately acquired, so parking places can be conveniently and precisely known by vehicle owners; records of parting and leaving time and a parking place of each vehicle can be further searched, so monitoring videos can be searched according to time segments and regions when an accident occurs.

Description

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AI Technical Summary

Benefits of technology

This technology allows for accurate determination of how many people are waiting at their cars during peak hours by providing detailed data from different areas or locations within your parked spot. It then displays this information along with other relevant details such as available parking spots (Parker) near where they were previously located. Additionally, there may include maps showing what kind of traffic has been blocked up nearby while driving around them. Overall, these technical features improve efficiency and accuracy in finding empty places.

Problems solved by technology

The technical problem addressed in this patented solution involves accurately identifying which type of object(veins), especially if they belong within one range close enough together, without requiring human interventions during their placement phase. Existing approaches have limitations due to factors like incomplete detection coverage caused by multiple objects, poor visibility conditions at night, difficulty in finding exact locations near occupied spots, and difficulties associated with managing large numbers of roadside devices efficiently.

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