Facial recognition security monitoring probe based on big data platform

A big data platform, security monitoring technology, applied in character and pattern recognition, machine/bracket, camera body, etc., can solve the problems of decreased sensing accuracy, easy contamination of impurities, poor window cleaning effect, etc., and achieve stable cooperation , Improve cleaning effect, good cleaning effect

Inactive Publication Date: 2021-01-12
泉州潘大侠网络科技有限公司
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the actual use of the existing face recognition security monitoring probes based on big data platforms, since the probes are placed outdoors, the front-end windows of the probes are easily contaminated with impurities and stains, resulting in a decrease in sensing accuracy, and a special cleaning device needs to be installed. Some cl

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
  • Facial recognition security monitoring probe based on big data platform
  • Facial recognition security monitoring probe based on big data platform
  • Facial recognition security monitoring probe based on big data platform

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0031]Example one

[0032]Seefigure 1 , The present invention provides a face recognition security monitoring probe based on a big data platform through improvement. It includes a chassis 1, a support 2 is fixed on the top of the chassis 1, and the top of the support 2 is fixed with a fixing member 3, and the top of the fixing member 3 is left and right. The two ends are connected to the adjusting member 4 in rotation. The left and right sides of the adjusting member 4 are hinged with the fixing member 3 through the inner rear end of the adjusting rod 5. The front end of the adjusting member 4 is connected with the probe 6, and the left rear end of the probe 6 is provided with a connection Line 7, the bottom of the chassis 1 is connected with the auxiliary cleaning device 8.

[0033]Seefigure 2 withimage 3 , The present invention provides a face recognition security monitoring probe based on a big data platform through improvement. The auxiliary cleaning device 8 includes a base 81, a hea...

Example Embodiment

[0038]Example two

[0039]The present invention provides a face recognition security monitoring probe based on a big data platform through improvement. The bottom of the chassis 1 is protruding, and the protruding position of the bottom of the chassis 1 penetrates the top cover 85 and the turntable 86 for fixing, which is convenient for the stability of the turntable 86 Drive the probe at the top to rotate; the brush plate 845 is bonded with bristles on the surface, and the length of the bristles is 2cm, which can effectively sweep the 6 windows of the probe; the outer diameter surface of the connecting rod 8445 is smooth, realizing efficient and smooth sliding. Stuttering will not occur.

[0040]The present invention provides a face recognition security monitoring probe based on a big data platform through improvement, and its working principle is as follows;

[0041]First, when the device needs to be used, first place the device in the location where it needs to be used, and the location n...

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 discloses a facial recognition security monitoring probe based on a big data platform. The facial recognition security monitoring probe comprises a chassis, a support and an auxiliary cleaning device. According to the facial recognition security monitoring probe, the auxiliary cleaning device is arranged at the bottom of the chassis, an intermittent transmission mechanism is arrangedin the auxiliary cleaning device, the intermittent transmission mechanism is driven by a driving mechanism, and the driving mechanism is driven by an independent motor; and when the intermittent transmission mechanism rotates, the probe at the top can be stably rotated, the angle of the probe can be adjusted, and the probe can be conveniently moved to a position needing to be cleaned to wait forcleaning; and a sweeping mechanism is arranged at the rear end in the auxiliary cleaning device, the motor drives a reciprocating mechanism at the front end to move, a brush plate at the bottom can extend out to sweep a probe window, impurities at the two sides of the brush plate are scraped off through scraping pieces in the up-down brushing process, the surface of the brush plate can be cleaned,the cleaning effect on the window can be improved conveniently, and the brush plate is retracted into a fixed box after scraping and sweeping to realize sealing.

Description

technical field [0001] The invention relates to the related field of security monitoring probes, in particular to a face recognition security monitoring probe based on a big data platform. Background technique [0002] Big data, a term in the IT industry, refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making power, insights and process optimization capabilities. Massive, high-growth and diverse information assets, more and more smart devices are based on big data platforms, and some security monitoring probes are also based on big data platforms, which can achieve stable and accurate face recognition. [0003] In the actual use of the existing face recognition security monitoring probes based on big data platforms, since the probes are placed outdoors, the front-end windows of the probes are easily contaminated with impu...

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
IPC IPC(8): F16M11/04F16M11/12F16M11/18G06K9/00H04N5/225G03B17/55B08B1/00B08B13/00B08B11/00
CPCF16M11/04F16M11/121F16M11/18G03B17/55B08B1/008B08B1/001B08B13/00B08B11/00G06V40/161H04N23/00
Inventor 郭益祥
Owner 泉州潘大侠网络科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap