A camera device for vehicle driving image acquisition

Abstract

The invention belongs to the vehicle driving monitoring technical field and relates to an image pickup device for vehicle driving image acquisition. The image pickup device includes a box body and a camera; a camera mounting cavity is formed in the box body; the camera is mounted in the mounting cavity through a mounting bracket; a camera light shielding cavity communicated with the outside of the box body is formed at the front part of the box body; two sides of the light shielding cavity are attached surfaces; the box body comprises a rear cover and a front cover which are buckled to each other; the camera mounting cavity is formed at the upper part of the box body; the middle of the front cover is recessed inwards so as to form the camera light shielding cavity communicated with the outside of the box body; two sides of the front cover are attached surfaces; and the light shielding cavity is communicated with the mounting cavity. Since the camera is enclosed in the light shielding cavity, no matter how light inside and outside a vehicle changes, interference images will not appear on windshield glass corresponding to the light shielding cavity, and therefore, the camera in the light shielding cavity will not be affected, and the stability and authenticity of acquired images can be ensured.

Description

technical field [0001] The invention relates to the technical field of vehicle driving monitoring, in particular to a camera device for collecting vehicle driving images. Background technique [0002] As vehicle driving safety is paid more and more attention, the monitoring of vehicle driving process is also becoming more and more popular. On the one hand, the vehicle recorder used to record various emergencies in the driving process has been widely used. In this case, the vehicle recorder is generally hung or fixed behind the windshield. The distance of ten millimeters; on the other hand, for the management and monitoring of operating vehicles such as logistics, freight companies, and bus companies, it is necessary to collect vehicle road condition information to accurately compare and judge driving behavior, and even when drivers are negligent. Real-time automatic error correction measures are taken through the analysis of road condition information. In this case, there a...

AI Technical Summary

Problems solved by technology

On the one hand, the vehicle recorder used to record various emergencies in the driving process has been widely used. In this case, the vehicle recorder is generally hung or fixed behind the windshield. The distance of ten millimeters; on the other hand, for the management and monitoring of operating vehicles such as logistics, freight companies, and bus companies, it is necessary to collect vehicle road condition information to accurately compare and judge driving behavior, and even when drivers are negligent. Automatic error correction measures are taken in real time through the analysis of road condition information. In this case, there are high requirements for the accuracy of image signals, which cannot be met by conventional camera devices.

The main reason is that the conventional camera device cannot be integrated with the windshield to form a stable shading space, so that changes in external light will be superimposed on the collected images, which seriously interferes with the data acquisition device's judgment of the real situation, and even makes mistakes. Judgment; this interference comes from two aspects, one is due to the poor brightness inside and outside the car, and sometimes the image inside the car will be presented on the windshield due to the reflection of the front windshield, and this image will be superimposed on the monitored image, which seriously interferes The camera records the external conditions, especially on cloudy days or at night; the second is the light from the outside of the windshield, and the influence of wind and rain, such as direct sunlight from the outside or the flow of rain on the windshield, etc.

If these interferences cannot be effectively eliminated, the accuracy of the image information cannot be guaranteed through computer judgment and analysis, and then the analysis of driving behavior or real-time automatic intervention cannot be implemented around the clock

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