An oil field operation area safety monitoring system based on a visual image

Abstract

The invention relates to an oil field operation area safety monitoring system based on a visual image. The oil field operation area safety monitoring system based on the visual image comprises a master control unit, a face recognition detection unit and a wearing behavior detection unit electrically connected with the master control unit respectively. The face recognition detection unit is used for face recognition detection of persons entering an oilfield operation area. The wearing behavior detection unit is used for detecting whether a person entering an oilfield operation area wears a tooling or not. The monitoring system of the invention can carry out efficient real-time monitoring on the oilfield operation area, and the monitoring cost is low.

Description

technical field [0001] The invention relates to the technical field of image monitoring, in particular to a visual image-based oil field operating area safety monitoring system suitable for oil field operating areas. Background technique [0002] Due to the particularity of the oil field operation area, for safety reasons, the management of personnel entering the oil field operation area is relatively strict. Usually, all personnel entering the oil field operation area need to be authenticated. In addition, there are also restrictions on the clothing of the personnel entering the oil field operation area. Certain requirements, usually specific work clothes and hard hats are required. At present, the detection of personnel entering the oil field operation area is generally limited to the identity verification set up at the entrance and exit, and the detection cost is relatively high. The wearing behavior of personnel entering the oil field is usually detected through human id...

AI Technical Summary

Problems solved by technology

At present, the detection of personnel entering the oil field operation area is generally limited to the identity verification set up at the entrance and exit, and the detection cost is relatively high, while the wearing behavior of personnel entering the oilfield is usually detected through human identification, and it is difficult to realize automatic monitoring.

Furthermore, the oilfield operation area is usually open, that is, exposed to direct sunlight, so the cast shadows produced by the staff themselves will have a greater impact on the existing image analysis and processing, seriously affecting the Accuracy of personnel wearing detection. Traditional image monitoring technology is difficult to accurately detect personnel wearing behavior, and false detections and false alarms often occur.

At present, there is a lack of a monitoring system that can effectively supervise personnel entering the oilfield operation area and has a low monitoring cost

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