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

Abstract

The invention discloses an artificial intelligence image processing method and a big data cloud server based on intelligent transportation, including a server main body, a multi-way wiring port, a ventilation and heat dissipation port, a fixed seat, a limit component, a dust-proof box, a fixed frame, a molecular sieve honeycomb panel, Positioning slot, positioning block, protective inner shell, compression frame, compression screw hole, compression screw, rubber shell, T-shaped slot, T-shaped column, threading rubber plate, threading hole, foot, non-slip rubber pad, dustproof net The invention uses the artificial intelligence neural network model constructed by big data to process the traffic image, thereby improving the intelligence of the image processing method, with fast processing speed, small recognition error and high work efficiency, which meets the requirements of the growing It also enhances the dust-proof effect of the big data cloud server, ensures the heat dissipation efficiency of the big data cloud server, is not easy to overheat, burns, leaks, short circuit and downtime, and improves the work reliability.

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. Traffic congestion, traffic accident rescue, traffic management, environmental pollution, energy shortage and other problems have become common problems faced by all countries in the world. problem. Under this background, a comprehensive transportation management system, namely the intelligent transportation system, was born. The intelligent transportation system is based on the intelligent transportation system and integrates high-tech IT technologies such as the Internet of Things, cloud computing, big data, and mobile Internet....

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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