A vehicle dispatching system based on Beidou big data and face recognition

Abstract

The invention provides a vehicle dispatching system based on Beidou big data and face recognition, including: an image processing unit for acquiring user image information; a Beidou traffic big data platform for storing traffic data fed back by the Beidou satellite navigation system in real time Satellite map data at intersections, and driving record images fed back in real time by the driver’s driving recording equipment; the central processing unit is connected to the Beidou traffic big data platform, Beidou satellite navigation system, and image acquisition and recognition unit for data interaction; the user terminal is used for user Registration, to make vehicle reservations; driver terminal, used for driver registration, displays the location map of the concentrated users waiting for the bus, and displays the current supply and demand in the area in real time. The invention aims at the taxi scheduling problem in the station waiting area, and ensures the accuracy of judging the number of waiting people in the taxi waiting area through image acquisition and face recognition, and better real-time display of demand information.

Description

technical field [0001] The invention relates to the technical field of aerospace big data, in particular to a vehicle dispatching system based on Beidou big data and face recognition. Background technique [0002] With the global deployment of the Beidou satellite navigation system, the navigation production method and production model based on big data has undergone fundamental changes. Modern concepts such as location-aware data cloud smart cities are based on navigation and various data information, which are highly concentrated, stored, analyzed, and applied in computer network time and space. [0003] The development of emerging technologies such as cloud computing, Internet of Things, mobile Internet, and big data has provided many conveniences for people's daily production and life, and at the same time, urban transportation has also entered the stage of intelligence. The realization of intelligence requires the use of various technologies to obtain valuable data res...

AI Technical Summary

Problems solved by technology

[0004] In the traditional taxi-hailing industry, it is difficult for users to get a taxi, and drivers are also confused because they cannot get customers. The combined effect of these factors has promoted the emergence of taxi-hailing applications based on smartphones. At present, "Didi" taxis, etc. The emergence of APP has improved the problem of poor interaction between drivers and customers to a certain extent, but in areas with a large flow of people such as stations, this type of taxi-hailing system still has the following problems:

In this way, drivers will open another taxi-hailing system to "grab orders" in order to increase their income when they are carrying passengers, which will also bury hidden dangers for personal and property safety.

[0007] In the waiting area of ​​the railway station and other places with a large flow of people and a large demand for taxis, the driver's failure to grasp customer demand information in a timely manner will also cause a certain degree of waste of resources and inefficiency

[0008] To sum up, the mobile taxi-hailing industry is developing rapidly nowadays, but its existing problems are gradually emerging

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