Vehicle flow and material flow supervision system and method based on video collection

Abstract

The invention discloses a vehicle flow and material flow supervision system based on video collection. A camera is arranged in a monitoring region; the camera outputs collected video information to a processing unit; the processing unit conveys the video information to a storage unit for storing; the system is provided with a background server; the background server calls the video information of the storage unit; the background server obtains people flow and vehicle flow data according to the video information and conveys the people flow and vehicle flow data to the storage unit for storing. The system has the advantages that the automation degree is high; the management efficiency is improved; the labor cost in the management aspect can be favorably reduced; the system can also store the vehicle flow and people flow data for company or enterprise managers to check.

Description

technical field [0001] The invention relates to the field of video surveillance. Background technique [0002] At present, the management of vehicle flow and logistics of companies or enterprises is generally supervised manually through camera video. The supervisor sees a vehicle or person about to enter the company or enterprise in the background, checks the information of the vehicle or person on the spot, and artificially judges whether it can be released or not. For companies or enterprises with many vehicles and personnel, this method requires multiple supervisors to work together, which wastes labor costs. In addition, there is no specific data on the daily traffic flow (including the goods in the truck) and the flow of people, so effective supervision in the area cannot be achieved. The current management method requires human judgment and supervision, which wastes manpower and cannot collect quantifiable data. Contents of the invention [0003] The technical pro...

AI Technical Summary

Problems solved by technology

For companies or enterprises with a large number of vehicles and personnel, this method requires multiple supervisors to work together, which wastes labor costs.

In addition, there is no specific data on the daily traffic flow (including the goods in the truck) and the flow of people, so effective supervision in the area cannot be achieved

The current management method requires human judgment and supervision, which wastes manpower and cannot collect quantifiable data

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