Visual sensor optical optimization device and correction method for outdoor complex environment

Abstract

The invention provides a visual sensor optical optimization device for an outdoor complex environment, which can improve the imaging definition of the visual sensor in an outdoor complex environment,ensures that the measurement precision is not influenced. The device comprises an optical filter, a light source, and protective glass, which are sequentially arranged from an image side to an objectside in front of a camera lens of the vision sensor, wherein the optical filter is a narrow-band optical filter, and the optical filter corresponds to the wavelength of the light source; the light source comprises an annular LED lamp strip which is coaxially arranged with the camera lens; the protective glass comprises optical glass, the two sides of the optical glass are respectively provided with an antireflection film corresponding to the wavelength of the light source, the outer side of the antireflection film close to the object side is provided with a protective film, and the invention also provides a correction method which can be used for correcting the refraction deviation generated on the optical optimization device so as to further ensure the measurement precision.

Description

technical field [0001] The invention relates to the technical field of optical imaging optimization and precision measurement, in particular to an optical optimization device and calibration method for visual sensors used in complex outdoor environments. Background technique [0002] The shell glass part of the traditional visual sensor used in complex outdoor environments is ordinary glass, because the glass plate is a transparent material, when the light hits the glass plate, a small part of the light will be reflected back by the side of the glass plate facing the object Reflection occurs to form a virtual image, and most of the light is not reflected back, but is refracted twice through the glass plate and then into the air, so that the image is relatively dark and unclear. Existing visual sensors are easily affected by complex light from the outside, resulting in low signal-to-noise ratio and seriously affecting the reliability of system measurement. The existing visua...

AI Technical Summary

Problems solved by technology

[0002] The shell glass part of the traditional visual sensor used in complex outdoor environments is ordinary glass, because the glass plate is a transparent material, when the light hits the glass plate, a small part of the light will be reflected back by the side of the glass plate facing the object Reflection occurs to form a virtual image, and most of the light is not reflected back, but is refracted twice through the glass plate and then into the air, so that the image is darker and unclear

Existing visual sensors are easily affected by complex light from the outside, resulting in low signal-to-noise ratio, which seriously affects the reliability of system measurement

The existing visual sensor glass is ordinary optical glass, which cannot be dissipated in time when it encounters external rain, mist, etc., reducing the imaging quality

At present, manual timely maintenance is often used to ensure the imaging quality of the camera, resulting in high cost and reducing the promotion and application of visual sensors in outdoor environments

That is, the existing visual sensor does not have a clear image in outdoor complex environments, resulting in a significant drop in measurement accuracy

[0003] Due to the influence of strong sunlight, strong reflection, stray light, night moonlight and weak light in the outdoor full spectrum, as well as the limited space for on-site equipment calibration, the coexistence of light, dust, rain and other factors in the external environment, and the installation of existing visual sensors The protective glass is thick, the angles are various, the refraction light path changes caused by the flat glass, etc. These series of reasons cause the image positioning deviation of the visual sensor to be large, and the existing methods are difficult to achieve high precision of the refraction parameters of the flat glass in the complex environment on site. Calibration, it is difficult to ensure the image positioning accuracy of the vision sensor

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