Artificial intelligence image processing method based on intelligent traffic and big data cloud server

Abstract

The invention discloses an artificial intelligence image processing method based on intelligent traffic and a big data cloud server. The artificial intelligence image processing method includes a server body, a multi-path wiring port, a ventilation and heat dissipation port, a fixing base, a limiting assembly, a dustproof box, a fixing frame, a molecular sieve honeycomb plate, a positioning groove, a positioning block, a protective inner shell, a pressing frame, a pressing screw hole, a pressing screw, a rubber outer shell, a T-shaped groove, a T-shaped column, a threading rubber plate, a threading hole, supporting feet, an anti-skid rubber pad, a dustproof net plate and a ventilation port. The artificial intelligence neural network model constructed by big data is used for processing the traffic image, so that the intelligence degree of the image processing method is improved, the processing speed is high, the recognition error is small, the working efficiency is high, the increasing traffic image processing requirement is met, the dustproof effect of the big data cloud server is enhanced, the heat dissipation efficiency of the big data cloud server is ensured, overheating, burnout, electric leakage, short circuit and downtime are not prone to occurring, and the working reliability is improved.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to an artificial intelligence image processing method and a big data cloud server based on intelligent transportation. Background technique [0002] With the rapid development of social economy and science and technology, the level of urbanization is getting higher and higher, and the number of motor vehicles is also increasing rapidly. Problems such as traffic congestion, traffic accident rescue, traffic management, environmental pollution, and energy shortage have become common problems faced by countries all over the world. problem. Under this background, a comprehensive transportation management system, namely intelligent transportation system, was born. The intelligent transportation system is based on the intelligent transportation system, integrating high-tech IT technologies such as the Internet of Things, cloud computing, big data, and mobile Internet, c...

AI Technical Summary

Problems solved by technology

[0003] However, the image processing methods of traditional smart transportation are less intelligent, with slow processing speed, large recognition errors, and low work efficiency, making it difficult to meet the growing demand for traffic image processing. The defect of insufficient dust effect is that it is easy to inhale a large amount of dust during the heat dissipation process. After accumulation, it will form a thermal insulation layer, which reduces the heat dissipation efficiency of the big data cloud server, causing the internal parts to overheat or even burn out, and the dust is easy to cause the big data cloud server. Leakage, short circuit and downtime have affected the reliability of the big data cloud server. At the same time, the big data cloud server is simply placed on the bracket without a fixed structure and a protective structure. It is easy to fall, fall or get injured during use. External force damage inevitably shortens the service life of the big data cloud server

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