Facial recognition security monitoring probe based on big data platform

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...

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 cleaning devices use the wiper principle to clean the window, but the position of the brush of the existing cleaning device is exposed, and the surface is easily contaminated with impurities. When cleaning the window, impurities are easily left on the window, resulting in poor cleaning effect of the window. Impurities and stains are still present

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