5289 results about "Focal length" patented technology

The invention belongs to the technical field of fire safety, and discloses a fire-fighting equipment detection early warning method and system based on a visual camera, and the method comprises the following steps: obtaining multi-focal-length image frames of a fixed spray head and a fire extinguisher edge region, judging the continuous change of gray scale in the continuous image frames, and carrying out the detection early warning of the fire-fighting equipment based on the visual camera. Comparing the gray level distribution difference under the long focus and the short focus, identifying the dynamic trajectory of the contour line angular point of the fire-fighting equipment association structure, analyzing the delay of the function action response, marking as an abnormal region, and generating a fire-fighting equipment collaborative early warning information set; according to the invention, by extracting and analyzing the multi-focal-length image frames of the edge areas of important facilities such as a fixed spray head and a fire extinguisher, fine changes of the fire-fighting facilities under differentiated focal lengths can be captured, working states and potential faults of the fire-fighting facilities can be judged, functional abnormalities caused by equipment aging or damage can be recognized in advance, early warning can be carried out in real time, and the safety of the fire-fighting facilities can be improved. And a higher guarantee level is brought to fire safety.

A metalens for focusing light is described. The metalens includes a library of elements for varying the propagating phase of the focusing light over at least a 2π radians range, where the library of elements is arranged in a sub-wavelength pattern that defines spacings between the elements. Each spacing exhibiting temperature-dependent spacing changes within a temperature range and each element in the library of elements includes: a refractive index exhibiting a temperature-dependency within the temperature range, a shape exhibiting a temperature-dependency within the temperature range, and a size exhibiting a temperature-dependency within the temperature range. The metalens also includes a phase profile defined by a combination of the refractive index, shape, and size of each element in the library, and the sub-wavelength pattern of the library of elements. The metalens also includes a focal length defined by the phase profile, the focal length exhibiting a temperature-dependency within the temperature range.

The invention discloses an intelligent steel pipe surface defect recognition system based on deep learning, and particularly relates to the technical field of pipe surface defect analysis. An annular polarization light source array and a high-frame-rate CMOS sensor are adopted to synchronously collect visible light and near-infrared multi-polarization images; a surface normal is calculated based on Stokes parameters, mirror surface suppression and diffuse reflection enhancement are realized, a defect candidate area is generated by fusing multi-scale Laplacian pyramid residual error and Renyi entropy segmentation threshold positioning, multi-physical quantity registration is completed through white light interference and infrared thermal imaging, a six-channel feature cube is constructed, and a three-dimensional image is obtained. According to the method, space, spectrum and thermal characteristics are jointly extracted in the multi-head attention convolutional neural network, the confidence coefficient is evaluated in combination with Jensen-Shannon divergence, and the polarization angle and the focal length are dynamically adjusted according to the confidence coefficient, so that closed-loop parameter self-optimization is realized, and the micro-scale pitting corrosion and millimeter-scale crack detection precision is remarkably improved.

The invention relates to the technical field of image recognition, in particular to an intelligent electric energy meter image collection method and system based on multi-source data, and the method comprises the following steps: collecting a multi-angle reflection contour image of an electric energy meter through a preset incident angle light source, and calculating a difference value point by point based on a standard reference contour point coordinate; and after edge sections are divided, the maximum value, the minimum value and the mean value are processed by adopting a Gaussian filtering algorithm, and a multi-angle difference statistical result is generated. According to the invention, through multi-angle reflection contour image acquisition, difference calculation and edge division, Gaussian filtering noise reduction, ultralimit edge segment extraction, angle focal length compensation through step length adjustment, edge extraction through a Canny edge detection algorithm and contrast change rate calculation, dynamic path instruction generation, high-frequency feature point density extraction through SIFT, and direction angle adjustment scanning sequence analysis, the method can be used for realizing multi-angle detection of the image. Calculating a standard deviation and a gradient variance to generate an abnormal graph, performing local focusing to compensate an abnormal region, performing gray scale consistency splicing replacement, and performing multi-source response optimization closed-loop correction.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the object side surface of the fourth lens is a concave surface, and the image side surface of the fourth lens is a convex surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power; the seventh lens has positive focal power; the eighth lens has negative focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

The invention discloses a multi-scene adaptive visual acquisition system and method, and belongs to the technical field of image recognition, and the system comprises an environment sensing module which is used for collecting carrier vibration spectrum, multi-band illumination intensity and target depth information in real time; the dynamic zoom imaging module drives the focal length adjustment rate of the lens to be dynamically associated with the frequency of the high-frequency component output by the vibration sensor; and the cooperative control module executes vibration compensation, spectrum fusion and target positioning, dynamically calculates based on an illumination intensity ratio and color temperature, and dynamically configures a target positioning threshold according to a target pixel area. According to the invention, the dynamic correlation vibration frequency and the focal length adjustment rate are utilized, and mechanical anti-shake pre-focusing and electronic anti-shake optical flow methods are matched to realize accurate compensation of low-frequency continuous vibration and high-frequency impact vibration, so that the imaging stability is remarkably improved in a dynamic environment, and the phenomena of image blurring and edge blurring are effectively reduced.

The invention relates to the field of industrial cameras, and particularly provides a panoramic splicing type industrial camera device for a complex scene and a splicing method, and the panoramic splicing type industrial camera device comprises a multi-camera array, a synchronous control module, an image processing module, a calibration module and a communication module. The multi-camera array is distributed in an annular or matrix mode. The synchronous control module realizes sub-microsecond synchronization (error is less than 0.8 microsecond) based on an LVDS hardware trigger architecture, and eliminates splicing dislocation of a high-speed moving target. The image processing module carries an FPGA hardening assembly line and completes image distortion correction, optimization ORB feature matching and multi-band fusion in real time. The calibration module integrates a multi-mode sensing unit, and dynamically adjusts exposure, focal length and white balance through improved Kalman filtering and a deep reinforcement learning decision algorithm. In a strong interference environment, the panoramic stitching precision reaches 0.01 mm, the defect detection sensitivity is 30 [mu] m, the power consumption is only 12 W, and the system is suitable for various industrial scenes.

The invention discloses a self-adaptive focal length control method and system of a laser cutting machine, particularly relates to the technical field of laser processing, and is used for solving the problem of insufficient laser focus control precision caused by separation of a detection point and a processing point and geometric mutation of a curved surface in the prior art. Instantaneous distance information is continuously obtained in the moving process of a cutting head, the curvature change characteristics of the surface of a workpiece are calculated according to the instantaneous distance information, inertial load and dynamic load risks caused by geometrical morphology sudden change are comprehensively evaluated, and a path risk section and a non-path risk section are intelligently recognized. A conservative prediction mode and a conventional prediction mode are adaptively switched according to different risk sections, the normal vector of the surface of a workpiece at a laser machining point is accurately predicted, then the posture adjustment amount of the cutting head is calculated according to the normal vector, and finally real-time and smooth posture adjustment of the cutting head in the movement process is achieved through multi-axis synchronous interpolation control. And the laser beam is always vertical to the surface of the workpiece.

The invention provides a control method of welding type coupling equipment, which comprises the following steps: comparing extracted contour and center line data according to a preset welding spot size and a preset fusion width threshold value, and judging whether the size of a welding spot is abnormal or the fusion width of the welding spot is abnormal or not; if the welding spot is abnormal, adopting an image segmentation method to identify an abnormal region in the image, and calculating the area and geometric features of the abnormal region through a pixel statistical method to obtain the size and deformation degree of the welding spot; the corrected welding instruction data are obtained, and energy, focal length and welding gun angle parameters in an instruction are extracted to serve as reference values of welding instruction analysis; by analyzing an energy distribution curve in the welding process and combining focal length data collected in real time and welding gun angle changes, whether welding energy and focal length are matched with reference values of welding instruction analysis or not is judged; if the welding energy and the focal length are not matched with the reference value analyzed by the welding instruction, the control parameters of the welding equipment are adjusted according to the deviation value, and the correction amount of the welding gun path is recalculated.

To achieve the above objective, the present invention provides the following technical solution: a handheld magnifier with an adjustable focal length, comprising an upper shell and a lower shell. The upper shell is equipped with a protection plate, a display screen, and a silicone key, while the lower shell contains a PVC film. A battery, a keyboard, a main board, a wave wheel, a sector gear, a lens assembly, and a light board are installed between the upper and lower shells. The lens assembly consists of an FPC cable, a chip, a guide fixing seat, a roller, a lens holder, a lens cover, and a glass sheet. Manual precise focusing is achieved through a mechanical transmission structure consisting of a wave wheel, sector gear, and spiral groove. This structure provides a wide adjustable range of clarity to accommodate observation needs at different distances.

The invention discloses a naked-eye 3D display optimization method based on real-time eyeball tracking, and particularly relates to the technical field of naked-eye 3D display, and the method comprises the steps: capturing eyeball movement data in real time through a visual angle tracking sensor, and collecting illumination information in combination with an ambient light sensor; depth perception parameters are calculated based on pupil diameter variation and frequency, and a time sequence prediction type dynamic compensation coefficient is generated in combination with eyeball movement acceleration; acquiring an initial fixation point coordinate by using an improved spherical projection mapping model, and performing compensation coefficient correction to obtain a real-time coordinate; and finally, according to the real-time coordinates, dynamically adjusting the refractive index distribution of the nanostructure layer, the rotation angle of the polarizer, the focal length of the optical lens and other optical modulation parameters. The real-time distance is calculated through the binocular parallax algorithm, the depth mapping value is generated by combining the focal length of the camera and the baseline distance, the method can adapt to the illumination change and the user view angle, and the 3D display effect is optimized.

The invention discloses a high-power microscope intelligent scanning method for a bone marrow smear, which comprises the following steps: S1, automatically dividing a scanning area: acquiring a bone marrow smear image by adopting a front camera, and selecting an optimal scanning area through a multi-dimensional quality evaluation model; s2, intelligent partitioning and focusing point distribution: dividing an optimal scanning area into N * M sub-areas, determining P focusing sampling points by adopting a layered sampling strategy, and establishing a three-dimensional coordinate mapping table; s3, multi-point focusing data acquisition: according to a preset coordinate mapping table, driving an objective table and an objective lens assembly to move to each sampling point in sequence, and constructing an N * M * P-dimensional focusing data matrix; s4, performing focal plane fitting by a least square method: performing three-dimensional plane fitting on the acquired data; and S5, intelligent scanning imaging: calculating the theoretical optimal focal length of each position in the scanning path according to the fitting function, and driving the objective lens assembly to adjust the focal length in real time for scanning imaging. According to the invention, the scanning area identification accuracy and the image definition uniformity are automatically improved in the whole process.

The utility model discloses an optical lens. The optical lens sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens, a seventh lens and an eighth lens from an object side to an image side along an optical axis, the first lens has negative focal power, the object side surface is a convex surface, and the image side surface is a concave surface; the second lens has negative focal power, the object side surface of the second lens is a convex surface, and the image side surface is a concave surface; the third lens has negative focal power, and the object side surface of the third lens is a concave surface; the fourth lens has positive focal power, the object side surface of the fourth lens is a convex surface, and the image side surface is a convex surface; the object side surface of the fifth lens is a convex surface; the image side surface of the sixth lens is a convex surface; the seventh lens has negative focal power, and the object side surface of the seventh lens is a concave surface; the eighth lens has positive focal power, the object side surface of the eighth lens is a convex surface, and the image side surface is a convex surface; wherein the combined effective focal length Fa of the first to fourth lenses and the total effective focal length F of the optical lens meet the condition that Fa / F is greater than or equal to-4.1 and less than or equal to-2.2.

The invention discloses a multi-mode unmanned aerial vehicle perception data fusion analysis method, which realizes centimeter-level high-precision space-time registration by integrating visible light, infrared, SAR radar and other sensors and combining Beidou RTK + time service + IMU compensation. Data fusion is carried out by adopting deep learning, target identification and tracking are optimized in combination with a focal length-resolution mapping matrix and Kalman filtering, and the stability in a complex environment is improved. And the edge end decision engine realizes low-delay closed-loop scheduling based on Bayesian optimization and Markov decision, so that the task response time is shortened to be within 1 second, the recognition accuracy is improved to 95% or above, and the method is suitable for the fields of environmental monitoring, sea area supervision and the like.

The invention provides an optical lens, which comprises nine lenses from an object side to an imaging surface along an optical axis: a first lens with negative focal power, a second lens with negative focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the object side surface of the third lens is a convex surface, and the image side surface of the third lens is a concave surface; the fourth lens has negative focal power, and the object side surface of the fourth lens is a concave surface; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has negative focal power, and the image side surface of the sixth lens is a concave surface; the seventh lens has positive focal power; the eighth lens has negative focal power; and the ninth lens has positive focal power. According to the optical lens provided by the invention, through specific surface shape matching and reasonable focal power distribution, the lens has one or more advantages of short focus, miniaturization, large field angle, large aperture, large target surface, low distortion and low sensitivity.

This invention relates to a pair of intelligent, multimodal smart eyeglasses designed for adaptive vision, biometric ocular monitoring, and predictive emergency response. The system integrates multilayer lenses filled with electrochromic gel and surrounded by elastic structures to enable dynamic focal length modulation in response to user visual behavior. An array of sensors—including visible light, ultraviolet, micro-cameras, infrared emitters, gyroscopes, and ultrasonic transceivers—collects multispectral data to evaluate environmental and physiological parameters. Real-time data processing is performed by an embedded quantum microcontroller, which manages light transmittance, detects eye fatigue, maps ocular surfaces, and identifies hemodynamic abnormalities such as fainting, seizure, or ocular stroke. Advanced imaging techniques, such as ultrasonic ptychography and wave diffraction analysis, enable non-invasive 3D mapping of ocular layers and internal eye motion. The system also supports wireless communication with external platforms including smartphones, vehicles, and brain-machine interfaces, enabling proactive safety interventions. These features work in tandem to support early diagnosis of critical conditions, protect vision, and personalize user experiences through machine learning and adaptive feedback mechanisms.

The invention provides a microscopic automatic focusing method and system based on image gray histogram characteristics, and the method comprises the steps: collecting an image sequence under different focal lengths, carrying out the fuzzy processing, extracting a gray histogram of each frame of image, and calculating the peak position and full width at half maximum of the histogram as the evaluation characteristics of the image definition; calculating the variance of each feature and automatically allocating a weight according to the relative response degree; and finally, comprehensively evaluating the image definition through a weighted definition scoring function, and selecting the focal length corresponding to the image with the optimal score as the optimal focusing position. The method is based on the global features of the gray histogram, is high in anti-noise capability, is adaptive to different imaging scenes through weight adaptive adjustment, is low in calculation complexity, supports real-time focusing, is especially suitable for high-noise fluorescence microscopic imaging scenes, is high in system portability, is low in operation threshold, and effectively improves the accuracy and stability of microscopic automatic focusing.

The invention relates to the technical field of optical lenses, provides an optical lens, a camera module and electronic equipment, and can solve the problem that the design difficulty of a focusing motor of a camera module in the related technology is relatively high. The optical lens comprises a front lens group and a rear lens group located on the image side of the front lens group. The front lens group comprises a first turning element and at least one positive lens located on the object side of the first turning element, the first turning element is provided with a first reflecting surface, the first reflecting surface is used for reflecting light beams penetrating through the at least one positive lens to the rear lens group, the rear lens group is a focusing lens group, and the focusing lens group is used for focusing the light beams penetrating through the at least one positive lens. The lens group can move relative to the front lens group along the optical axis of the rear lens group; the effective focal length fg0 of the front lens group and the effective focal length fA of the optical lens in a focusing long-shot state meet the following condition: fA / fg0lt; and 1.0. The method can be applied to electronic equipment such as a mobile phone.

The invention provides a self-supervised end-to-end vision reconstruction method and system, and relates to the technical field of computer vision processing. The method comprises the following steps: firstly, acquiring multi-camera parameters and different-view-angle image data, including focal length, lens distortion and main coordinate point data of each camera, and pixel point coordinates of a current frame of a first camera and a reference frame of a second camera, then constructing an end-to-end training model, and calculating a re-projection error of pixel points of the current frame and the reference frame to obtain a multi-view-angle image; and solving the parameter update quantity by using a Gaussian Newton iteration method, iteratively optimizing the camera pose, the pixel corresponding relation and the depth data, and reconstructing a three-dimensional coordinate by combining the obtained data set after the re-projection error is converged, and converting and splicing to realize three-dimensional scene reconstruction. By implementing the scheme, end-to-end self-supervised training can be realized under the condition of not depending on manual annotation, so that three-dimensional visual reproduction is realized.

The invention provides an optical lens, which comprises eight lenses with focal power and sequentially comprises a first lens with negative focal power, a second lens with positive focal power, a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with negative focal power and a sixth lens with negative focal power from an object side to an imaging surface along an optical axis, the object side surface of the second lens is a convex surface, and the image side surface of the second lens is a concave surface; the third lens has negative focal power, the object side surface of the third lens near the optical axis is a convex surface, and the image side surface of the third lens is a concave surface; the fourth lens has positive focal power; the object side surface of the fifth lens is a convex surface, and the image side surface of the fifth lens is a convex surface; the sixth lens has positive focal power; the seventh lens has negative focal power; and the object side surface of the eighth lens is a convex surface, and the image side surface of the eighth lens is a convex surface. The optical lens provided by the invention has one or more advantages of short focus, large field angle, high imaging quality and the like.

The application relates to the technical field of optical lenses, and provides an optical lens, a camera module and electronic equipment, which can solve the problem that the camera module occupies a large space and causes the thickness of the electronic equipment to be large in related technologies. The optical lens comprises a front lens group, a first turning element, a first rear lens group and a second rear lens group; the front lens group comprises a first front lens group and a second front lens group; when the first turning element is located at a first position, the first turning element is located on the image side of the first front lens group and is used for reflecting the outgoing light beam of the first front lens group to the first rear lens group, and the optical lens has a first effective focal length; when the first turning element is located at a second position, the first turning element is located on the image side of the second front lens group and is used for reflecting the outgoing light beam of the second front lens group to the first rear lens group, and the optical lens has a second effective focal length F2, and the second effective focal length is greater than the first effective focal length F1. The application can be used on electronic equipment such as mobile phones.

The present invention provides an automatic focusing method, an electronic device, and a readable storage medium. The automatic focusing method comprises: using a target detection model to detect a target object in an image frame acquired at an initial focal length by an optical imaging device to be focused, so as to acquire a target object detection result; on the basis of the target object detection result, determining whether a target object is present in the image frame; if yes, determining an actual object distance on the basis of the target object detection result and the initial focal length, and on the basis of the actual object distance and a mapping relationship between the object distance and an optimal imaging focal length, determining the optimal imaging focal length; and if not, using a preset search algorithm to search for a focal length until an image having the highest definition value is found, and using a focal length corresponding to the image having the highest definition value as the optimal imaging focal length. The present invention primarily employs a deep learning-based automatic focusing method, supplemented by an image definition evaluation method. Compared with traditional passive focusing methods, the present invention greatly improves the focusing efficiency. Compared with traditional active focusing methods, the present invention eliminates a need for adding an additional optical ranging component, ensuring that the imaging device has a simple structure and a low cost.

The invention discloses a portable long-distance automatic focusing laser emission system, and relates to the technical field of automatic focusing of optical instruments. The system comprises a ranging and focusing quantization module, a focal length regulation and control module and a light spot quality quantization and regulation and control module. The focusing adaptation degree is obtained through the obtained focusing regulation and control deviation parameter, whether focal length regulation and control are carried out or not is judged, after the focal length is qualified, the light spot regulation and control deviation degree is obtained in combination with the light spot quality parameter obtained in the pre-emission process of the laser emitter, and whether light spot regulation and control are carried out or not is judged. After the light spot is qualified, a laser emission wire-mounted foreign matter removing instruction is sent to carry out laser emission for removing the target object, so that the focusing and emission precision and the light spot form in the process of emitting laser to remove the target object through the laser emission device are improved; the problem that in the prior art, when the foreign matter on the high-voltage line is removed through laser, the focusing and transmitting precision is low due to the fact that position fluctuation of the foreign matter is not fully considered is solved.

The utility model discloses a three-color micro-projection optical system, the three-color micro-projection optical system is provided with an object side and an image side which are correspondingly arranged along an optical axis direction, the three-color micro-projection optical system comprises a diaphragm, a lens group and a color combination prism assembly which are sequentially arranged from the object side to the image side; the color combination prism assembly comprises a color combination prism, a red light-emitting chip, a green light-emitting chip and a blue light-emitting chip; the focal length of the three-color micro projection optical system is f, 5.9 mlt; flt; the thickness is 6.4 mm; the distance from the diaphragm to the image surface is the total optical length TTL and TTLlt of the three-color micro-projection optical system; and the thickness is 10.2 mm. By means of the arrangement, in the environment temperature range of 20-60 DEG C, the optical system does not defocus during working, the MTF full frequency is higher than 0.5, the total length of the optical system can be controlled within 10.2 mm, and the working performance is more stable.

The invention provides an objective lens module and a photoetching imaging system, and relates to the technical field of optical imaging, the objective lens module is configured between an object plane and an image plane of the photoetching imaging system, and the objective lens module comprises a first lens group, a second lens group and a microobjective lens group which are sequentially arranged from the object plane to the image plane, the first lens group and the second lens group are both of a double-Gaussian structure or a double-Gaussian derivative structure, and the focal length of the first lens group is larger than that of the second lens group. The objective lens module can reduce the aperture size of the optical lens in the objective lens module, increase the object space working distance and improve the imaging quality on the premise of ensuring a large field of view.

The invention provides a human-eye-imitating lens, and the lens sequentially comprises a first lens group from the object side to the image side, the first lens group sequentially comprises a first lens to an eleventh lens from the object side to the image side of the human-eye-imitating lens, and the combined focal length of the first lens group is negative; the second lens group sequentially comprises a twelfth lens to a seventeenth lens from the object side to the image side of the human eye imitating lens, and the combined focal length of the second lens group is positive; wherein the first lens to the seventeenth lens are spherical lenses; the distance TTL from the object side surface of the first lens to the imaging surface of the human-eye-imitating lens on the optical axis of the human-eye-imitating lens and the effective focal length f of the human-eye-imitating lens meet the following conditions: 24.0 lt; tTL / flt; 34.9). The problem that in the prior art, miniaturization and high image quality of a human-eye-imitating lens are difficult to consider at the same time is solved.

The invention discloses a visible light and short wave infrared common-aperture optical system which is used for solving the technical problem that an existing multi-band common-aperture optical system cannot meet the detection requirements of large view field, high resolution and high sensitivity at the same time. The optical system comprises a visible light optical system and a short-wave infrared optical system, and a primary reflector, a secondary reflector, a beam splitter prism, a visible light relay lens group and a first imaging unit jointly form the visible light optical system; and the primary reflector, the secondary reflector, the beam splitter prism, the short-wave infrared image space telecentric relay lens group, the view field divider and the N second imaging units jointly form a short-wave infrared optical system. The optical system disclosed by the invention shares the primary reflector and the secondary reflector, so that the focal length of the optical system is increased, and the requirement of high resolution is met; and meanwhile, the short-wave infrared optical system adopts the view field divider and N second imaging units, and the large-view-field and high-sensitivity infrared detection requirements of the optical system on a dark and weak target are met through splicing of N paths of view fields.

The utility model discloses an optical imaging lens, the optical imaging lens comprises a lens barrel, and a lens group and a spacing element group which are arranged in the lens barrel, and the lens group comprises a first lens, a second lens, a third lens and a fourth lens in sequence from an object side to an image side along an optical axis; the spacer element group includes: a first spacer element disposed on an image side of the first lens and at least partially in contact with an image side surface of the first lens; the curvature radius R2 of the image side surface of the first lens and the inner diameter d1s of the object side surface of the first spacing element meet the following condition: 6.5 < R2 / d1s < 13.5; the effective focal length f1 of the first lens, the refractive index N1 of the first lens and the distance EP01 from the end face of the object side of the lens barrel to the object side face of the first spacing element in the optical axis direction meet the condition that f1 * N1 / EP01 is larger than 5.1 and smaller than 5.53.

The embodiment of the invention provides an optical machine lens module and AR optical display equipment. The optical machine lens module sequentially comprises a first lens, a second lens, a third lens, a fourth lens, an X-cube color combination prism and a fifth lens from an object side to an image side along an optical axis, the first lens is an aspheric positive lens, the second lens is an aspheric positive lens, the third lens is an aspheric negative lens, the fourth lens is an aspheric positive lens, and the fifth lens is an aspheric negative lens. The total focal length F of the optical machine lens module is more than 4.1 mm and less than 4.8 mm; the focal length f1 of the first lens and the total focal length F meet the condition that f1 / F is larger than or equal to 2.3 and smaller than or equal to 2.9; and the focal length f2 of the second lens and the total focal length F meet the condition that f2 / F is greater than or equal to 2.1 and less than or equal to 2.4.