Portable automatic identifying system for second-hand vehicles

Abstract

The invention relates to a portable automatic identifying system for second-hand vehicles, and relates to the technical field of the existing conditions and value identification of vehicles. The system comprises a central processing unit, an information transmission unit, a display unit, a vehicle body identifying unit, a vehicle body existing condition detecting unit and a value evaluation data unit, wherein all the related working units can be accommodated in a portable tool box so as to facilitate carrying. The automatic identifying system for the second-hand vehicles provided by the invention eliminates the influence of anthropic factors, objectively identifies the vehicles so as to prompt maintenance, and further can objectively identify the value of the vehicles and estimate the value of the vehicles according to the places to which the vehicles belong.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows cars to have their own ID that helps them track its location throughout different stages or areas during production. These IDs are then used together to create a single unit called Vehicle Body Status Detector (VBS) which works alongside other components like Data Transfer Line(s), Central Processor Unit/IoT Network Connection Partner (CPC). Additionally, this VBS uses specialized equipment such as Layered Coding System (LCS)/Digital Signal Analysis (DSA)). Overall, these technical features improve efficiency and accuracy when identifying car bodies at various points within manufacturing plants.

Problems solved by technology

This patented technical problem addressed in the patents relates to identifying different types of automobiles (such as passenger cars) after they have been damaged or shipped without being able to accurately identify their location and status during transportation. Current methods rely heavily upon human judgement and trial-and error analysis, making them prone to errors such as incorrect price estimates or incomplete data collection due to lack of objective measurement tools. Additionally, current models require significant effort from engineers who may overlook important details about how these systems work properly.

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