944 results about "Camera lens" patented technology

The invention relates to the technical field of image recognition, in particular to a construction site-oriented reinforcing steel bar binding normativity visual detection method, which comprises the following steps of: driving a camera lens to shoot a focus stack image sequence covering the depth of field before and after a single binding node, extracting a linear contour, and obtaining a multi-dimensional image set of a binding area. According to the method, the focus stack image sequence covering the depth of field before and after the single binding node is shot by the driving camera, and the mapping of the line segment coordinates and the depth of the reinforcing steel bar is established, so that the problems of mutual shielding and depth confusion caused by staggered reinforcing steel bars in the construction site are solved; on the basis, a steel bar binding topology network diagram describing the connection relation between steel bar intersection points is constructed, discrete steel bar line segments and intersection point information are integrated into an overall network with a global structure relation, detection is not limited to isolated nodes any more, and evaluation can be conducted from systematicness and continuity of a whole steel bar framework.

The invention relates to the technical field of path planning, in particular to an unmanned aerial vehicle intelligent inspection method and system for a non-stop fan. Comprises: obtaining a target static parameter, an environment parameter and a target dynamic parameter; according to the initial position of the unmanned aerial vehicle, the target static parameter and the blade rotating speed, identifying and obtaining an unmanned aerial vehicle inspection path set; wherein the unmanned aerial vehicle inspection path comprises an unmanned aerial vehicle inspection point; predicting angles among a visual equipment camera lens, a blade surface normal and solar rays when the unmanned aerial vehicle shoots at the inspection point, and obtaining an inspection quality coefficient in combination with the three-dimensional contour of the to-be-inspected area of the blade; according to the target static parameter, the target dynamic parameter and the environment parameter identification, obtaining an inspection safety coefficient representing the operation stability degree of the unmanned aerial vehicle; according to the invention, optimization identification is carried out through the inspection quality coefficient, the inspection safety coefficient and the inspection path total duration of the unmanned aerial vehicle inspection point, and the optimal inspection path is obtained.

The invention discloses an electrolyte cylinder curled edge measurement and defect detection device, and relates to the field of electrolyte cylinder detection. The detection table is arranged below the carrier plate, and the electrolyte cylinder is conveyed to the detection table through the carrier plate; the jacking mechanism is arranged on the detection table at the lower part of the carrier plate and comprises a plurality of groups of jacking rollers which are symmetrically arranged and a driving mechanism; when the electrolyte cylinder is conveyed to the position over, the electrolyte cylinder is jacked up from the carrying plate through the jacking rolling wheels, and a cylinder body of the electrolyte cylinder is lifted; the detection mechanism is mounted above the carrier plate through a bracket and comprises two groups of camera lenses, and the camera lenses are aligned to the curled edges on the two end surfaces of the electrolyte cylinder; when crimping images are shot, the driving mechanism drives the jacking roller to rotate, the electrolyte cylinder is driven to circumferentially roll at the position of the detection table, and the camera lens continuously shoots the crimping images of the two end faces of the electrolyte cylinder. The problems that traditional manual detection is low in efficiency and poor in precision are solved, and the device has the advantages that all-round continuous detection of the curled edge of the electrolyte cylinder is achieved, and the measurement precision and efficiency are improved.

The invention relates to the technical field of computer vision, and discloses a Monte Carlo tree search-based camera lens assembly focusing calibration algorithm and system, and the algorithm comprises the steps: constructing a three-dimensional search space comprising a focus position, a horizontal inclination angle and a vertical inclination angle, and combining a high-contrast cross wire test pattern to generate a local definition matrix; calculating an initial inclination angle based on the matrix to construct a root node of the Monte Carlo tree; according to the algorithm, an optimal search path is dynamically selected by applying an upper confidence bound strategy, child nodes are expanded in a three-dimensional space, physical adjustment is executed, and optimal three-dimensional configuration parameters are finally determined based on node scores through back propagation iterative optimization. The method breaks through a traditional one-dimensional search framework, effectively avoids a pseudo peak trap caused by inclination of a lens-sensor axis, improves the calibration precision and efficiency of the full-view-field definition of the camera, and achieves the precise positioning of a global optimal solution under a complex assembly tolerance.

The invention provides an optical correction camera lens module and an imaging method thereof. The method comprises the following steps: extracting a radial distortion parameter and a tangential distortion parameter from an original imaging image; performing target identification on the original imaging image to obtain a plurality of identification targets, performing regularized screening to obtain a regularized identification target, extracting a pixel reduction matrix of the regularized identification target based on a regularized target library, performing region reconstruction on a corresponding region of the original imaging image according to the pixel reduction matrix, and performing region reconstruction on a corresponding region of the original imaging image; extracting a radial distortion correction parameter and a tangential distortion correction parameter according to the reconstructed image area; and constructing an optical correction model based on the radial distortion correction parameter and the tangential distortion correction parameter, performing distortion correction on the original imaging image through the optical correction model to obtain a target imaging image, extracting a regularized identification target according to the original imaging image, and extracting a dynamic distortion correction parameter through the regularized identification target to obtain the target imaging image. And the real-time performance of imaging distortion correction is improved.

The invention discloses anti-impact self-adaptive underwater camera equipment, which comprises an anti-shake shell, a camera arranged in the anti-shake shell, an anti-shake module connected with the camera, and at least four groups of composite anti-shake mechanisms symmetrically arranged on two sides of the anti-shake module. Each composite anti-shake mechanism comprises a movable abutting shaft with one end abutting against the anti-shake module. The push rod is in transmission connection with the abutting shaft; the memory alloy spring is connected with the push rod and used for driving the push rod to generate displacement; a piezoelectric ceramic; and the hydraulic clutch mechanism is linked with the piezoelectric ceramics. The hydraulic clutch mechanism is driven by the piezoelectric ceramics, and transmission between driving force provided by the memory alloy spring and the abutting shaft is rapidly connected or disconnected. The design overcomes the inherent defect of low response frequency of a memory alloy spring, realizes quick and large-stroke anti-shake compensation of a camera lens, and avoids the interference of magnetic field driving on internal electronic devices of the camera at the same time.

The invention provides a three-dimensional calibration method using a speckle image as a calibration object and combining weight parameters. The method comprises the following steps: acquiring a standard grid image and the speckle image through a camera; determining angular point positions in the standard grid image through an angular point detection algorithm; calibrating the stereoscopic vision system by using the obtained angular points to obtain an initial calibration result; calculating 3D coordinates of the camera calibration board in the world by using the disparity map; determining a subset of the reference image corresponding to the checkerboard angular points in the target image through a digital image cross-correlation algorithm; calculating a weight parameter of each calibration point based on the re-projection error; solving internal and external parameters of the camera by using the weight parameters, radial alignment constraint and a least square method; optimizing the main point of the camera by using the weight parameters; and if the re-projection error or the number of iterations does not meet the requirement, repeatedly calculating the weight parameter of the calibration point and the subsequent steps, otherwise, obtaining a camera calibration result, and obtaining the distortion curved surface of the camera lens.

An information handling system camera provides a 117 degree field of view with low distortion by capturing visual images through a lens having eight lens elements. The first lens element closest to the object, the third lens element and the sixth lens element each have a glass material, the remaining lens elements have a plastic material. The first two lens elements and the last lens element each have a negative refractive power and the remaining lens elements have a positive refractive power. Lens elements two and four through eight each have aspherical surfaces.

The invention provides a photovoltaic module electroluminescent image acquisition system and method, and a defect detection method, which can be used in the technical field of photovoltaic power generation. The system comprises a liquid crystal polarization modulator, an infrared camera and an image processing unit, the liquid crystal polarization modulator is arranged in front of a lens of the infrared camera and used for changing the polarization direction of incident light entering the lens of the infrared camera; the infrared camera is used for shooting the photovoltaic module to be detected so as to be used for collecting an infrared image set of the photovoltaic module; wherein the infrared image set comprises a first infrared image collected during the first polarization direction and a second infrared image collected during the second polarization direction under the same field of view; and the image processing unit is used for carrying out differential processing on the first infrared image and the second infrared image to obtain an electroluminescent image of the photovoltaic module. According to the invention, the electroluminescent signal of the photovoltaic module is extracted through a pure optical polarization modulation means, so that the collection efficiency of the electroluminescent image of the photovoltaic module is greatly improved.

The utility model belongs to the technical field of monitoring equipment, and relates to a defect monitoring and identifying device which comprises a workbench (1), a mounting column (2) arranged on one side of the workbench (1), and a camera (3), a lens (4), an annular light source (5) and a light shielding plate (6) which are coaxially arranged from top to bottom, a light through hole (61) is formed in the light shielding plate (6), a first connecting structure (7) is arranged on the mounting column (2) in a sliding manner, and a second connecting structure (8) is arranged on the first connecting structure (7). The annular light source (5) is rotationally connected with the first connecting structure (7); a second connecting structure (8) is arranged below the first connecting structure (7), the second connecting structure (8) is in sliding fit with the mounting column (2), and the shading plate (6) is fixedly connected with the second connecting structure (8). The defect monitoring and identifying device disclosed by the utility model can effectively inhibit stray light and improve the detection precision.

The utility model belongs to the field of camera lenses, and particularly relates to a camera lens convenient to replace, which comprises a lens body, and a lens seat is mounted in an inner cavity of the lens body. According to the utility model, through the arrangement of the positioning mechanism, the lens body is firstly placed in the lens seat, after the lens body is installed, the positioning seat is pushed to move, the positioning seat drives the connecting plate to move, the connecting plate drives the elastic clamping block to move, and the surface of the elastic clamping block can be inserted into the inserting groove in the moving process of the elastic clamping block; the positioning seat can be stably fixed on the front side of the lens body and the lens body can be conveniently fixed in the lens seat, so that the problems that the lens is generally fixedly mounted through a threaded screw cap, and the screw cap is generally firmly connected with the lens in order to ensure the stability of the lens, so that the lens is difficult to fix are solved. Therefore, the problem that the replacement efficiency of the lens is reduced due to the fact that the lens is very inconvenient to disassemble is solved.

The invention relates to the field of optical lenses, and discloses a camera shooting optical lens which is composed of a first lens, a second lens, a third lens, a fourth lens and a prism which are sequentially arranged from the object side to the image side. The focal length and the total optical length of the shooting optical lens are f and TTL respectively, the focal length of the first lens is f1, the combined focal length of the front two lenses is f12, the combined focal length of the rear three lenses is f234, the central curvature radiuses of the object side surface and the image side surface of the first lens are R1 and R2 respectively, the axial thicknesses of the first lens and the third lens are d1 and d5 respectively, and the central curvature radiuses of the object side surface and the image side surface of the third lens are R1 and R2 respectively. The axial distance from the object side surface of the first lens to the image side surface of the fourth lens is Td, the distance from the maximum effective aperture position of the object side surface of the third lens to the maximum effective aperture position of the image side surface of the third lens in the direction parallel to the optical axis is ET3, and the following relational expression is satisfied: f1 / f is greater than or equal to 0.30 and less than or equal to 0.70; f12 / f234 is greater than or equal to-1.40 and less than or equal to-0.426; -3.00 < = R1 / R2 < =-1.00; 0.16 < = Td / TTL < = 0.21; and 0.05 < = d5 / ET3 < = 0.66.

The modular housing case includes a fiber optic component housing defined as a cavity and or cavities that are sized to receive a fiber optic connector and or connectors. Within the cavity or cavities is a ferrule guide or ferrule guides. The module housing case also has an internal cavity that is at least partially enclosed. Those components can range from a lighting system powered by internal electronics or a system that relies on the cell phone camera flash and or flashlight LED for internal fiber end face lighting. The module housing case has a camera lens alignment feature manually adjustable to increase magnification of the field of view.

The utility model discloses a gun barrel type machine vision detection mechanism for high oil contamination occasions, which comprises a displacement sliding table, a rotating shaft sleeve is movably arranged on one side of the displacement sliding table, a camera shaft sleeve is inserted into the lower end of the rotating shaft sleeve, and a first sealing ring is mounted at the joint of the camera shaft sleeve and the rotating shaft sleeve. A second sealing ring is mounted at the joint of the light source shaft sleeve and the camera shaft sleeve, a camera is mounted in the camera shaft sleeve, a lens is arranged below the camera, a light source is mounted in the bottom end of the light source shaft sleeve, and a third sealing ring is mounted at the joint of the light source and the light source shaft sleeve. The integrated design of the camera, the lens and the light source is adopted, the rotating shaft sleeve can drive the camera and the light source to rotate together, and the adjusting efficiency of the camera is improved; sealing rings are further arranged at the connecting positions of all the components, oil stains can be effectively prevented from invading the interior of the machine body to corrode the camera, and the service life of the detection mechanism is prolonged.

The invention provides a camera motor control method and device, electronic equipment and a machine readable storage medium. According to one example of the disclosure, the method comprises the steps of in response to completion of acquisition of pixel data of a focusing area included in a current frame of image, obtaining an exposure ending moment of the focusing area included in the current frame of image and an exposure starting moment of a focusing area included in a next frame of image; determining a target time period between the exposure ending moment and the exposure starting moment; and controlling a carried camera motor to drive a camera lens to move within the target time period. According to the invention, the period of moving the lens by the motor to adjust the focal length can be shortened on the premise of preventing the motor movement from influencing the target focusing position calculation.

The utility model relates to the technical field of borosilicate ampoule bottle detection, in particular to a non-contact type borosilicate ampoule bottle body flatness detection device, which comprises a bottle body flatness detection device main body, a conveying transmission mechanism is arranged on the bottle body flatness detection device main body, a chain plate type conveying plate is mounted on the conveying transmission mechanism, and the chain plate type conveying plate is connected with the conveying transmission mechanism. A rotating seat with a tooth groove structure formed in the bottom is embedded in the chain plate type conveying plate, the upper end of the rotating seat is sleeved with a positioning seat, a detection box seat is arranged on the bottle body flatness detection device body, and an upper camera lens and an upper light source are installed at the upper end of the interior of the detection box seat; a first side light source and a side camera lens are mounted on one side in the detection box seat, and a second side light source is mounted on the other side in the detection box seat. According to the non-contact type borosilicate ampoule bottle body flatness detection device, borosilicate ampoule bottles are conveyed through the chain plate type conveying plate, the borosilicate ampoule bottles can stably rotate in a detection area, and the flatness detection precision is ensured.

The invention discloses a camera smudginess cleaning method, a vehicle and a medium, the method is applied to a lens cleaning system comprising an infrared sensor used for collecting reflection intensity, a piezoelectric film sensor used for collecting vibration signals and a lens cleaning assembly, and the method comprises the steps that smudginess detection signals are obtained, the smudginess detection signal comprises a target image collected by a target camera, reflection intensity and vibration frequency; determining the current smudginess level of the target lens according to the smudginess detection signal; based on a pre-constructed first mapping relation, obtaining a target cleaning strategy corresponding to the current smudginess level; the first mapping relation is a corresponding relation between the dirt level and the cleaning strategy; and controlling the lens cleaning assembly to clean the target lens according to the target cleaning strategy. Therefore, in combination with the multi-dimensional smudginess detection signals of the image, the reflection intensity and the vibration frequency, precise judgment of the smudginess state is achieved, different cleaning strategies are set according to different smudginess levels, and the optimal cleaning effect is achieved efficiently.

The invention discloses an optical filter switching device of a camera. The optical filter switching device comprises a bottom frame, a micro motor, a driving gear, a scene switching gear and a positioning structure. The bottom frame is provided with a light-transmitting opening which is used for corresponding to a lens light path of the camera; the micro motor is fixed below the bottom frame; a motor shaft of the micro motor penetrates through the bottom frame and is connected with the driving gear; the scene switching gear is arranged above the bottom frame and engaged with the driving gear, a plurality of installation openings are evenly distributed in the circumferential direction, and optical filters with different light transmittances are embedded in the installation openings. The bottom frame is provided with an arc-shaped rotary positioning groove, a plurality of positioning magnets are embedded in the groove at intervals, and a magnetic positioning column is arranged at the lower end of the scene switching gear and extends into the positioning groove. When the micro motor drives the gear to drive the scene switching gear to rotate, the optical filters can be sequentially switched to the positions of the light-transmitting openings, the magnetic positioning columns and the corresponding positioning magnets are attracted, and accurate positioning of the optical filters is achieved.

The invention discloses a cleaning device for an unmanned multi-interlayer tank car, belongs to the technical field of tank car maintenance, and solves the problem that a lens part of a camera assembly of an existing cleaning device is polluted or damaged due to impurities. A moving assembly is mounted between the mounting supports, a mechanical arm assembly is mounted on the moving assembly, a cleaning mechanism is mounted at the end of the mechanical arm assembly, and the moving assembly can drive the mechanical arm assembly to horizontally move left and right or move in the vertical direction, adjust the position of the mechanical arm assembly and enable the cleaning mechanism to enter the tank body. The cleaning mechanism comprises a telescopic air cylinder, a nozzle assembly, a conveying hose and a detection camera, the telescopic air cylinder is installed on the side face of the mechanical arm assembly, the nozzle assembly is arranged at the end of the telescopic air cylinder, the nozzle assembly communicates with the conveying hose, the detection camera is installed on the telescopic air cylinder, and a shielding assembly for protecting a lens of the detection camera is installed on the detection camera.

The invention discloses an intelligent test system and method for dust wettability by a natural sedimentation method, and relates to the technical field of dust wettability testing, the system comprises a liquid storage and preparation subsystem, a dust loading and sedimentation subsystem, a liquid circulation and waste liquid treatment subsystem, and a data acquisition and environmental parameter regulation and control feedback subsystem; inputting the prepared target solution into a settling chamber, selecting a spray dust falling or dust infiltration settling mode, testing the wettability of the dust under different temperature, concentration and pH conditions, naturally putting the dust into the settling chamber by adopting an air compression pump and a porous plate, capturing the settling state of the dust at any time through a laser sensor and a high-speed camera lens, and finishing settling to obtain the target solution. And the waste liquid is filtered. The system provides a full-automatic and high-precision solution for dust wettability testing, integrates the functions of environmental parameter regulation and control, dynamic monitoring and waste liquid treatment, is suitable for dust suppressant performance evaluation and dust wetting mechanism research in the fields of mines, environmental protection and the like, and realizes precise regulation and control of dust suppressant preparation.

The invention relates to an ultra wide angle pick-up lens suitable for a vehicle-mounted OMS system, an optical system of the lens is composed of a first lens, a second lens, a diaphragm, a third lens, a fourth lens and a fifth lens which are sequentially arranged from left to right along a light incident light path, the first lens is a meniscus concave negative lens, the second lens is a meniscus concave negative lens, and the diaphragm is a meniscus concave negative lens. The third lens is a biconvex positive lens, the fourth lens is a biconvex positive lens, the fifth lens is a meniscus concave negative lens, the fourth lens and the fifth lens form an achromatic doublet lens, the first lens and the third lens are both made of glass materials and are spherical lenses, and the second lens, the fourth lens and the fifth lens are all plastic aspheric lenses. By adopting the glass-plastic mixed optical structure of the two glass spherical lenses and the three plastic aspheric lenses, the advantage of aberration correction of the aspheric lenses is brought into full play, high-definition imaging is met, the lens outer diameter is smaller, the optical total length is shorter, and miniaturization of the lens is ensured.

The application provides a kind of building facade disease image recognition and positioning method, by unmanned aerial vehicle with camera lens is directly opposite the angle of building facade and is shot to obtain multiple building facade local images;Data set is obtained from positive image sample and negative image sample;Building facade disease image recognition network model is constructed, and building facade disease image recognition network model includes skeleton network, neck network and detection head network;The optimal building facade disease image recognition network model is obtained;Disease prediction image is obtained, and scale invariant feature transform algorithm SIFT and random sample consensus algorithm RANSAC are used for splicing to obtain the final building facade overall recognition image.The method can realize the rapid and accurate identification of building facade disease, can improve the detection efficiency, has relatively accurate identification effect, has strong practicality and engineering significance.

A camera optical lens sequentially includes seven lenses: a first lens having negative refractive power, a second lens having negative refractive power, a third lens having refractive power, a fourth lens having positive refractive power, a fifth lens having positive refractive power, a sixth lens having positive refractive power, and a seventh lens having negative refractive power. Following relational expressions are satisfied: 1.50≤f4 / f5≤3.40; 0.90≤R5 / R6≤1.40; 170≤FOV / Fno≤200. The camera optical lens according to the present disclosure has excellent optical characteristics of sufficient aberration correction, large aperture, wide-angle and ultra-thinness, and is particularly suitable for a mobile phone camera lens assembly and a WEB camera lens which are composed of camera elements such as CCD, CMOS with high definition, and a vehicle-mounted lens.

A digiscoping system may include an adapter configured to attach to a camera device and an eyepiece configured to attach to an optic. The adapter includes a base with one or more magnets configured to magnetically couple to one or more magnets of a camera device, one or more openings, one or more aperture magnets disposed about each of the one or more openings, and one or more stopping components configured to align with an alignment magnet of the camera device. The eyepiece includes a central opening and one or more recesses configured to be removably coupled to the one or more aperture magnets. The digiscoping system is configured to removably secure and align one or more camera lenses of the camera device with an optic when the eyepiece is coupled about an optical axis of the optic.

The invention relates to the technical field of industrial automatic detection, in particular to a wire harness appearance defect detection system and method.The wire harness appearance defect detection system comprises an optical detection module, a control module and a visual software module, the optical detection module comprises a wire harness outer cover, a camera outer cover, a fixing part, a camera, a lens, a protection cover, a calibration plate, a light source, a background plate, a fixing support, a sensor and an adjusting frame; the control module controls the mechanical swing arm to swing to a position where a sensor light spot is aligned with the reflective sticker to trigger a sensor signal, and the sensor triggers a light source to emit light and a camera to photograph to obtain a harness image; the visual software module receives the wire harness image and carries out cutting and AI classification detection to obtain detection data; and the detection data is fed back to the control module for OK and NG processing, automatic detection of the wire harness is completed, the system realizes automatic detection of multiple key quality indexes of the wire harness, the detection speed and accuracy are greatly improved, high-precision and multifunctional automatic wire harness detection is realized, and thus the labor cost is reduced.

A chamber houses a camera, light sources, and an onboard computer. The camera may be an infrared camera. Infrared light source fibers feed into a circumferential adapter ring to illuminate the inside of the eye (retina). The adapter ring contains a central opening through which it fits around the camera lens. The adapter ring contains openings along the circumference for infrared fibers to provide a light source. Another light source is provided for illumination of the external surface of the eye adjacent to the camera.

1. Name of the designed product: Lens protection cover (GO 3S). 2. Use of the designed product: For protecting camera lens. 3. Design points of the designed product: In shape. 4. Picture or photo best indicating the design points: Perspective view 1.

The utility model discloses a combined type multi-lens grinding clamp which comprises a clamp shell, three symmetrically-distributed combined grooves are formed in the upper end of the outer side of the clamp shell, combined bases are installed in the combined grooves, a piston is connected in an inner cavity of the clamp shell in a sliding mode, and the combined type multi-lens grinding clamp further comprises a replacement mechanism. The replacing mechanism comprises arc-shaped sliding grooves, receding grooves and mounting clamping seats, the arc-shaped sliding grooves and the receding grooves are formed in the combined grooves correspondingly, the arc-shaped sliding grooves communicate with the adjacent receding grooves, and the mounting clamping seats are arranged on the outer sides of the combined seats correspondingly. The grinding fixture can be rapidly replaced according to the size of a grinding lens in a corresponding model, the grinding fixture is replaced, the grinding and fixing application range of the device to a camera or a video camera lens is widened, meanwhile, grinding, fixing and discharging of the lens are achieved through the air pressure difference, external tools are not needed, and operation is convenient.

The utility model discloses a photovoltaic cell EL defect sorter, and relates to the technical field of sorters. Comprising a sorter main body, the sorter main body is provided with a photovoltaic cell EL defect detection mechanism, the detection mechanism comprises a moving assembly, the moving assembly comprises an opening groove formed in the top end of the sorter main body, a positioning rod is fixed to the inner wall of the opening groove, and a sliding rail support is slidably connected to the outer wall of the positioning rod; after the camera lens is detected, the protective shell is screwed on the bolt rod on the outer side of the camera lens, the camera lens is protected through the protective shell, external physical collision and scraping can be effectively resisted, tools, parts and other hard objects are prevented from directly impacting the lens under the daily operation, maintenance or unexpected conditions of equipment, and the camera lens is protected. The surface of the lens is prevented from being scratched and damaged, the optical structure integrity of the lens is protected, the definition and accuracy of a detection image are guaranteed, and pollution of impurities and dust is prevented.

This disclosure relates to devices, systems, and methods for passively determining the probability of the presence of a camera lens smudge on an image capture device, e.g., based on an analysis of images captured by the image capture device (and without the need for any reference images). The techniques include: obtaining an image using an image capture device and identifying and analyzing (e.g., in the form of gradient analysis) the regions of interest (ROIs) in high intensity areas of the image. A probability of the presence of a smudge on the image capture devices may then be determined and outputted to a display using any desired modality. According to some aspects, machine learning (ML)-based models may be used in the performance of the passive camera lens smudge detection techniques disclosed herein. According to other aspects, temporal consistency and / or sensor consistency constraints may also be applied to the smudge detection processes.