Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Non-image entry control system and method based on big data acquisition

A control system, non-image technology, applied in the field of control systems, can solve problems such as privacy leakage, slowing down of vehicle entry and exit speeds, and achieve the effects of accurate recognition, reduced burden, and shortened response lag time

Pending Publication Date: 2021-06-25
BEIJING WUZI UNIVERSITY
View PDF18 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are still multiple deduction systems in this way, and vehicles that need to frequently enter and exit multiple different areas will still cause problems such as slowing down of vehicle entry and exit speeds and privacy leakage.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Non-image entry control system and method based on big data acquisition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] The present application provides a non-image entry control system based on big data collection, which at least includes: an entry control device 200 , a server 100 and a mobile device 300 . The access control device 200 communicates with the server 100 , and the mobile device 300 communicates with the server 100 . The mobile device 300 has a feature code. The server 100 can transmit the first control signal to the mobile device 300 . Preferably, the first control signal is a remote communication signal. The mobile device 300 receives the first control signal and sends a feature signal including the identity feature code based on the first control signal. Preferably, the characteristic signal may be a short-distance transmission signal such as Near Field Communication (NFC) or Bluetooth, or a long-distance communication signal. The access control device 200 is able to receive and read this characteristic signal. After reading the characteristic signal, the access con...

Embodiment 2

[0038] This embodiment provides a non-image access control method based on big data collection. The method uses the access control device 200, the server 100 and the mobile device 300 to assist in completing the access control process.

[0039] The server 100 collects data in real time and analyzes the data to form a traffic restriction database and a traffic database.

[0040] The mobile device 300 sends the identity information and location information to the server 100, and the server 100 calculates the distance between the mobile device 300 and the access control device 200, and sends a first control signal to the mobile device 300 when the distance is less than a first threshold;

[0041] The mobile device 300 sends a characteristic signal based on the first control signal;

[0042] The entry control device 200 extracts the feature code in the feature signal and sends it to the server 100. The server 100 compares the feature code with the data in the pass database and th...

Embodiment 3

[0046] This embodiment is a further illustration of the present invention.

[0047] Preferably, the server 100 may be a car booking server trusted by the user; the access control device 200 is an access control management system trusted by the user; the mobile device 300 is one of several self-driving cars managed by the car booking server 100 .

[0048] In a smart city scenario, a car ordering system includes at least one server 100, a plurality of mobile devices 300 managed by the server 100, such as self-driving cars, and an access control system 200 (such as an access control system) capable of exchanging information with the server 100 through data communication. management system), where the car booking system of the smart city can operate according to the following process:

[0049] S1 The user sends a car order request to the server 100 through the APP of the smart terminal;

[0050] S2 The car ordering server 100 responds to the car ordering demand, and sends the fea...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a non-image type access control system and method based on big data acquisition, and the system at least comprises an access control device, a server and a mobile device, the access control device communicates with the server, and the mobile device communicates with the server. The access control device can receive and read a feature signal sent to the access control device by the mobile device based on a first control signal received from the server, and the access control device extracts the feature signal and sends an extracted feature code to the server. The server receives the feature code in a manner of controlling the access control device based on the own database, and sends the second control signal or the third control signal to the access control device based on the feature code. According to the invention, the authority information of the system can be updated through big data collection, and access control devices in multiple different areas of a smart city can be managed as a whole, so that rapid and safe access of temporary vehicles is achieved.

Description

technical field [0001] The present invention relates to the technical field of control systems, in particular to a non-image entry control system and method based on big data collection. Background technique [0002] The access control system is widely used in access control systems such as community access, building access, library, school access, subway access, etc., as well as vehicle charging, elevator access, special security occasions, etc., providing many conveniences for modern life . At present, most of the common vehicle access control systems use image-based recognition systems, which identify vehicles by taking pictures of license plates, and deduct fees based on the content of the identification according to the relevant deduction system. In this way, image recognition is not only prone to problems such as recognition errors and deduction failures due to contamination or defects of the license plate number, but also due to the existence of competition in the AP...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F16/23G07B15/02
CPCG06F16/2308G07B15/02G06F2218/08G06F2218/12
Inventor 王超彭竹云沈丽
Owner BEIJING WUZI UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products