503results about How to "Improve resolution" patented technology

The invention relates to the field of image processing, in particular to a remote sensing image panchromatic sharpening method and a model training method and system. The training method comprises the steps that panchromatic-spectrum fusion features of a panchromatic image and a multispectral image and time information serve as prior information, and the prior information and a diffusion noise-added image are input into a diffusion model so that a fitting noise-added image can contain more panchromatic information and spectrum information; predicting the diffusion noise adding image and the panchromatic space-spectrum fusion feature through a Transform module so as to generate a reconstructed difference image in which complete panchromatic information and spectrum information are reserved; the method has remarkable advantages in the aspects of noise suppression and detail enhancement, and a multispectral image with more sufficient spectral information and spatial information can be generated.

The invention discloses an optical lens and electronic equipment. The optical lens comprises a first lens, a second lens, a third lens and a seventh lens which are sequentially arranged from a first side to a second side along an optical axis, the first lens has negative focal power and is convex-concave in surface type, the second lens has negative focal power and is concave in first side surface, the third lens has positive focal power, and the first side surface of the fourth lens is convex; the fifth lens and the sixth lens are glued and have positive and negative focal powers; the lens satisfies the following conditional expressions: 0.03 < = (d5 + d6) / TTL < = 0.2, 2 < = F7 / F,-5 < = R4 / R5 < = 0.8,-25 < = F2 / F < =-2, 0.06 < = d45 / TTL < = 0.2, and TTL / F < = 4.5, where d5 and d6 are the center thickness of the fifth lens and the sixth lens respectively, TTL is the total optical length of the lens, F7 is the effective focal length of the seventh lens, F is the total effective focal length of the lens, R4 and R5 are the curvature radiuses of the second side surface of the second lens and the first side surface of the third lens respectively, F2 is the effective focal length of the second lens, and d45 is the effective focal length of the third lens. And d45 is an air interval between the fourth lens and the fifth lens.

The invention provides a flexible photoelectric multi-mode sensing device and a measuring method, the device is provided with an array flexible optical structure, comprises a flexible proximity-temperature-touch multi-mode sensor, a signal processing circuit and a precise grabbing embedded control system, and can be used for realizing automatic precise grabbing control. According to the measurement method, precise grabbing is completed based on the flexible proximity-temperature-touch multi-mode sensor, three work tasks of proximity and touch normal force measurement and sliding measurement are automatically distinguished through time sequence voltage information, and technical support is provided for achieving an automatic, high-precision and high-expandability precise grabbing control system.

The invention provides a sick juvenile fish identification method based on an improved YOLOv10 model, and the method comprises the steps: collecting a fish image in a water area as a to-be-detected image, and carrying out the preprocessing of the to-be-detected image, and obtaining an image data set; the method comprises the following steps: constructing a YOLOv10-UDFishNet model; the image data set is input into the YOLOv10-UFFishNet model, the YOLOv10-UFFishNet model is trained through the image data set, and the trained YOLOv10-UFFishNet model is obtained; and inputting a fish image in a water area to be detected into the trained YOLOv10-UFFishNet model to obtain a fish detection result and position information of a fish individual target. According to the method, the sick juvenile fish in the turbid underwater environment can be accurately and efficiently identified.

The invention relates to the technical field of molecular biology of siberian wildrye, and particularly discloses an SNP (Single Nucleotide Polymorphism) molecular marker combination for constructing a siberian wildrye DNA (Deoxyribose Nucleic Acid) fingerprint spectrum and application. The SNP molecular marker combination for constructing the siberian wildrye DNA fingerprint spectrum is composed of 52 SNP molecular markers, and the SNP molecular marker combination has high specificity and resolution, and can reveal the real level of genetic diversity of siberian wildrye; the SNP molecular marker combination is used for establishing a siberian wildrye DNA fingerprint database, DNA fingerprint information of different siberian wildrye germplasm can be correctly reflected, resource or variety identification can be carried out on siberian wildrye, the detection result is accurate and efficient, 90 siberian wildrye germplasm resources are effectively distinguished for the first time, the identification capacity is high, and technical support is provided for siberian wildrye germplasm resource protection. The SNP marker and the application method thereof provided by the invention have the advantages of high throughput, accuracy, low cost, simplicity in operation and the like, and have a very wide application prospect.

The invention discloses a multispectral and hyperspectral image fusion method based on a spatial frequency collaborative network, relates to the technical field of remote sensing, and discloses the multispectral and hyperspectral image fusion method based on the spatial frequency collaborative network, comprising: acquiring a multispectral image and a hyperspectral image of a remote sensing image; on the basis of a CSAM module in a preset fusion model, capturing a spatial dependency relationship of the spatial branch features of the multispectral image and the hyperspectral image to obtain spatial features; based on an SFBM module in a preset fusion model, performing frequency dependence determination on the spatial branch features to obtain frequency features; and based on a convolutional layer in a preset fusion model, fusing the spatial features and the frequency features to obtain a fused image of the multispectral image and the hyperspectral image. By integrating the spatial domain and frequency domain features, the model can capture and fuse complex information in multispectral and hyperspectral images more accurately, and the image fusion quality is remarkably improved.

The invention discloses an optical photographic lens. The optical photographic lens comprises a lens group, a plurality of isolating rings and a lens barrel for accommodating the lens group and the plurality of isolating rings. The lens group sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens which have focal power from the object side to the image side along the optical axis, the first lens and the sixth lens have positive focal power, the second lens and the seventh lens have negative focal power, and the fourth lens and the fifth lens have positive focal power. The number of lenses with focal power in the lens group is seven. And the plurality of isolating rings comprise a second isolating ring, a third isolating ring and a fourth isolating ring. The optical photographic lens satisfies the following condition: 0 < f3 * EP23 / f4 * EP34 < 5.

The invention relates to a method for automatically correcting and updating the route of an electric power inspection unmanned aerial vehicle, which comprises the following steps of: S1, collecting and integrating geographic information system (GIS) data of an inspection area, and constructing a topological graph; s2, obtaining detailed point cloud data of the ground and the power grid facilities, and constructing a 3D model according to the obtained point cloud data; s3, based on the topological graph and the 3D model, extracting a key position from the 3D model by using an algorithm, determining an initial waypoint, extracting waypoints from the key position of the power grid equipment, connecting all the extracted waypoints by using a path planning algorithm, and generating an initial inspection route; s4, correcting the initial inspection route in combination with real-time weather, equipment priority and historical data; and S5, combining the combination degree RTK GPS and an environment adaptive VIO algorithm to realize sub-meter positioning precision, and after the key position centralization is successful, automatically updating the waypoint and immediately uploading the waypoint to a control center to realize automatic updating of the route. The accuracy and efficiency of unmanned aerial vehicle inspection are effectively improved.

The invention discloses an unmanned aerial vehicle target tracking method based on feature fusion and sparse attention, and the method comprises the following steps: selecting improved Res2NeXt to obtain multi-scale features in order to enable a tracker to directly pay attention to an important space region and avoid the increase of the calculation amount, and carrying out the recognition of the multi-scale features through the improved Res2NeXt. Channel interdependence and space interdependence of target features are learned, self-adaption fusion is carried out, and feature representation is enhanced. A self-context enhancement module and a cross feature module are used, so that useful semantic context information can be adaptively focused to perform feature enhancement, and feature maps of each branch can be accepted to perform fusion. And introducing a regression and classification model as a prediction head to predict a target template. The method can solve the problems of target shielding and small target of the unmanned aerial vehicle, improves the local feature processing capability of the model, and effectively improves the accuracy of a tracking algorithm.

The invention discloses a distributed optical fiber temperature measurement system, which comprises a light source device, a sensing optical fiber, an optical signal processing device, a data acquisition device, a signal processing and computing device, a display and alarm device, a communication and data processing device and a system control center, a plurality of light sources emit light pulses to enter the sensing optical fiber, the sensing optical fiber converts temperature changes into optical signals, the optical signals are converted into electric signals through the optical signal processing equipment, the electric signals are converted into digital signals through the data acquisition equipment, and then the digital signals are transmitted to the signal processing and calculating equipment to be processed to obtain temperature values. The temperature value is transmitted to the display and alarm device, sound-light alarm is triggered when the temperature is abnormal, and data is transmitted to a remote control center to be monitored and managed by means of the communication and data processing device. According to the invention, the sensitivity and the response speed of temperature measurement can be improved by setting a synchronous control technology and assisting cooperation of a plurality of light sources.

The invention relates to a preparation method of a composite nano sponge for efficiently adsorbing rare earth ions in acidic wastewater, a product and application thereof, and belongs to the technical field of rare earth ion separation and purification. The composite nano sponge is prepared by taking cheap and green beta-cyclodextrin, polyvinyl alcohol, phosphorylated chitosan and citric acid as raw materials, mixing beta-cyclodextrin functionalized polyvinyl alcohol and phosphorylated chitosan and taking citric acid as a cross-linking agent. Experimental results show that the composite nano sponge is good in acid resistance, high in adsorption capacity and good in cyclic regeneration capacity, the removal rate of the composite nano sponge to rare earth ions in simulated acid mine water is higher than 92.9%, and the adsorption rate of the composite nano sponge to competitive ions does not exceed 2.0%. The composite nano sponge shows a potential application prospect in the recovery of rare earth ions in acid wastewater, and is expected to improve the current situation that the acquisition way of rare earth elements is single.

The invention provides a laser interference measurement precision traceability system and method. The system comprises an atomic clock, a femtosecond optical frequency comb, a spectrum spreading and frequency doubling module, a beat frequency module and a traceability processing module. The repetition frequency of a spectrum output by a femtosecond optical frequency comb and the frequency reference of an atomic clock are locked, frequency beating is carried out on a femtosecond laser spectrum and an interference measurement light source through spectrum broadening, optical frequency doubling and frequency beating detection, and traceability comparison is carried out on an obtained frequency beating signal and laser interference measurement data. The measurement precision of the to-be-measured laser interferometer is traced to the atomic clock frequency reference, and the traceability of laser interference measurement data is realized. Compared with the prior art, the laser interference measurement precision traceability system measures the wavelength by using the atomic clock frequency reference, has higher precision and resolution, and can realize on-site traceability of laser interference measurement data precision. And through precision traceability, the precision and stability of laser interference measurement are also improved.

The invention discloses an insect detection method and system under a complex background based on deep learning feature enhancement, and relates to the field of small target detection. The problem that agricultural insect detection lacks insect images dynamically captured in a real scene is solved. The method comprises the following steps: acquiring an image, and preprocessing the image; the method comprises the following steps: constructing an S-Insert-Det network structure, wherein the S-Insert-Det network structure comprises a backbone network, a neck network and a detection head; the backbone network is an OfficientViT network based on a Transform, and the backbone network is an EficientViT network based on a Transform; the neck network is a bidirectional multi-scale fusion architecture; image feature extraction is carried out through the backbone network, and multi-scale feature fusion is carried out through the neck network; and outputting feature representation after feature fusion through the detection head, and obtaining an insect recognition result. The method is applied to the field of insect recognition.

The invention discloses an intelligent mobile robot obstacle recognition capability evaluation method for a household complex application scene, and an adopted evaluation system comprises a plurality of collision sensors which are installed on the side surface of a detected robot in the circumferential direction. A two-axis force sensor composed of a fixed substrate, a dielectric layer capable of deforming and a detection substrate is arranged in the collision sensor, a fixed electrode plate is arranged on the fixed substrate, and a movable induction electrode plate is arranged on the detection substrate. The fixed electrode plate, the dielectric layer and the induction electrode plate form a capacitor, and the fixed substrate is fixedly connected with a detected robot. According to the invention, the robot obstacle object identification capability can be represented based on the collision mode of the robot and the surrounding obstacle and the collision force.

The invention relates to a medium-focus large-aperture long-flange video lens with a focal length of 50mm. The medium-focus large-aperture long-flange video lens comprises a first lens group, an iris diaphragm and a second lens group which are sequentially arranged along a light incidence direction of a light path, wherein the first lens group serves as an immovable fixed group, the focal power is positive, and the first lens group is composed of lenses L11-L17 which are sequentially arranged in the light incidence direction of a light path and comprises two groups of doublet lenses and a group of triplet lenses; the second lens group serves as a movable focusing group, the focal power is positive, and the second lens group is composed of lenses L21-L27 which are sequentially arranged in the light incidence direction of the light path and comprises two groups of doublet lenses and a glass aspheric lens; the focal length value f1 of the first lens group and the focal length value f2 of the second lens group satisfy 0.47 lt; f2 / f1lt; and 0.56% of the total weight. The lens achieves a large clear aperture, high MTF resolution, small distortion and reduced achromatism, is short in total optical length, and meets a camera module matched with a long flange back focus.

The invention discloses a polyp segmentation method and system based on edge detection and multi-scale fusion, and the method comprises the steps: obtaining polyp image data, carrying out the feature extraction of the polyp image data through a backbone network, and obtaining primary features; performing convolution connection on the primary features to obtain polyp global multi-scale feature information; edge information of the polyp global multi-scale feature information is further extracted and fused, and polyp edge local feature information and final polyp edge global feature information are obtained; and performing feature interaction and fusion on the final polyp edge global feature information to obtain interaction features and a final polyp feature map. According to the method, edge detection and feature extraction are combined, and the polyp segmentation precision is improved through feature fusion and enhancement; a space and channel attention mechanism is adopted to strengthen features, details are supplemented during up-sampling, and the recognition and segmentation accuracy is improved. Compared with a baseline model, the method has higher segmentation accuracy and generalization, and has important clinical application value.

The invention discloses an optical lens, which comprises seven lenses and a liquid lens, and sequentially comprises 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 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 object side surface and the image side surface of the third lens are convex surfaces; the object side surface and the image side surface of the fourth lens are convex surfaces; a liquid lens with focal power, wherein the liquid lens presents different focal lengths according to different applied voltages; the fifth lens has positive focal power, and the object side surface and the image side surface of the fifth lens are convex surfaces; the object side surface of the sixth lens is a concave surface, and the image side surface of the sixth lens is a convex surface; and the object side surface of the seventh lens is a concave surface, and the image side surface of the seventh lens is a convex surface. The optical lens provided by the invention has the advantages of small total length, high relative illumination, high resolution and the like.

The invention discloses a high-resolution angular displacement absolute measurement method and device based on color coding imaging, belongs to the technical field of photoelectric angular displacement measurement, and aims to solve the problems in the prior art. A stepping motor of the device is connected with the center of the back of a circular coded disc, and a bearing of the stepping motor rotates to drive the circular coded disc to rotate; the laser light source and the high-speed CCD camera are placed right in front of the circular coded disc, and the high-speed CCD camera, the stepping motor and the center of the circular coded disc are coaxially placed and are connected with the PC terminal; laser emitted by the laser light source is vertically incident on a coded disc outer ring RGB color block on the front surface of the circular coded disc to form a laser circular light spot as a target detection point; when the stepping motor rotates, the high-speed CCD camera shoots the circular coded disc in real time to obtain a coded disc image signal with a target detection point; and the high-speed CCD camera shoots and stores the image signal in real time and uploads the image signal to the PC terminal for specific demodulation of rotation angle information. The device and the measurement method thereof have the measurement advantages of higher precision and high resolution.

The invention provides an optical lens and electronic equipment with the same. According to the optical lens, a first lens has negative focal power, the first side face of the first lens is a convex face, and the second side face of the first lens is a concave face; the first side surface of the second lens is a concave surface, and the second side surface of the second lens is a convex surface; the third lens has positive focal power, the first side surface of the third lens is a convex surface, and the second side surface of the third lens is a convex surface; the fourth lens has positive focal power, and the second side surface of the fourth lens is a convex surface; the fifth lens has focal power; the first side surface of the sixth lens and the second side surface of the sixth lens have the same surface type; the seventh lens has focal power, and the second side face of the seventh lens is a convex face. The optical lens solves at least one of the problems that an optical lens in the prior art cannot give consideration to miniaturization and high resolution, is poor in pixel, is poor in imaging quality in a dark environment, and cannot be matched with a higher-pixel chip due to poor central angle resolution while meeting a large field angle.

The invention discloses a double-ridge waveguide slot array antenna which comprises a radiation structure, a double-ridge waveguide feed structure and a switching structure. The radiation structure is formed by symmetrically and collinearly arranging a plurality of slots and is used for radiating electromagnetic waves with indexes such as specific beam width and sidelobe level. The double-ridge waveguide feed structure comprises feed double-ridge waveguides, double-ridge waveguide power dividers and radiation snakelike double-ridge waveguides, the feed double-ridge waveguides are connected with the switching structure and the power dividers, the double-ridge waveguide power dividers distribute signals to the radiation snakelike double-ridge waveguides according to a specific power division ratio and phase difference, and radiation slots are formed in the upper portions of the radiation snakelike double-ridge waveguides. And the switching structure is used for switching the double-ridge waveguide to transmission lines such as a rectangular waveguide and a microstrip line, and is finally connected with a test port or a chip and the like. The antenna provided by the invention has the characteristics of wide frequency band, high gain, stable directional diagram and extremely low cross polarization. The invention further provides vehicle-mounted millimeter wave radar equipment.

The invention discloses an integrated optical fiber ultrasonic endoscope and a preparation method, and belongs to the field of ultrasonic sensors. Comprising a multi-core optical fiber, a dielectric film, a strip-shaped sensing layer, a mixed excitation inclined wedge, a sensibilization column and an endoscopic sheath. Double sensibilization is achieved through the sensibilization columns and the strip-shaped sensing layer, the sensitivity of lateral sensing is greatly improved, and good directivity is achieved on a film layer plane through the strip-shaped structure of the sensing layer. And the mixed excitation inclined wedges respectively realize side sound field excitation which is double and quadruple of that of the traditional single-mode optical fiber in two intensity directions. The problems that an existing optical fiber ultrasonic sensor is large in size, low in excitation power, low in integration level and low in sensitivity are solved.

The invention belongs to the technical field of fault diagnosis, and particularly relates to a gearbox fault diagnosis method and system based on cyclic pulse characteristic decomposition, and the method comprises the steps: constructing a new dictionary matrix, namely a cyclic pulse dictionary matrix, to accurately estimate a pulse cycle period contained in a signal formed by mixing a plurality of periodic pulse signals; a Goertzel algorithm is adopted to obtain corresponding frequency amplitudes according to the magnitude sequence of the energy values of the pulse cycle periods; and separating and reconstructing the CPCC corresponding to the pulse cycle period, and decomposing the signal into a plurality of CPCCs. According to the invention, the cyclic pulse dictionary matrix is constructed to carry out sparse representation on the pulse cycle period of the periodic pulse signal, and the cycle period of the fault pulse characteristic in the gear vibration signal is accurately estimated; the Goertzel algorithm is adopted to decompose and reconstruct the CPCC in the gear vibration signal according to the pulse cycle period, and the decomposed CPCC contains abundant periodic pulse characteristic information.

The invention discloses an optical lens and imaging equipment, the optical lens sequentially comprises a first lens, a second lens with focal power, a third lens, a fourth lens with focal power, a fifth lens with focal power and a sixth lens with focal power from a first side to a second side along an optical axis, the first lens has negative focal power, the second lens has focal power, the third lens has focal power, the fourth lens has focal power, the fifth lens has focal power, and the sixth lens has focal power. The first side surface and the second side surface are concave surfaces; the third lens has positive focal power, and the first side surface of the third lens is a convex surface.

The invention discloses a preparation method of an EBSD sample with cracks and a characterization method of crack characteristics, and relates to the technical field of preparation and testing of the EBSD sample with the cracks, and the method comprises the following steps: obtaining a fracture surface sample with the cracks; plating a metal layer on the fracture of the fracture surface sample with the cracks in an electroplating manner to obtain a plated fracture surface sample; and sequentially carrying out cold embedding treatment, grinding treatment, at least two times of polishing treatment, cleaning treatment and surface carbon spraying treatment on the plated section sample to prepare the EBSD sample with the cracks. The preparation process is simple, the preparation efficiency is high, the cost is low, and the analysis rate of EBSD images of typical areas of main cracks and secondary cracks of the prepared EBSD sample with cracks can be increased.

The invention provides a thermal wave tomography method and a thermal wave tomography device for a polymer insulating material, which are used for realizing rapid, lossless and high-resolution imaging of an internal structure of the material. The method mainly comprises the following steps: firstly, carrying out photo-thermal excitation on a material by adopting a logarithmic frequency modulation method, and concentrating low-frequency-band energy to enhance deep thermal wave energy; then, an infrared thermal imager is used for collecting an infrared thermogram sequence in the thermal diffusion process, and a thermal response signal is obtained; then, by adjusting the termination frequency of frequency scanning parameters, introducing a frequency difference, processing an infrared thermogram sequence and calculating phase information, selecting a phase diagram with a specific frequency as a chromatogram, and associating depth information; and finally, carrying out deblurring processing on the characteristic heat map by using a super-resolution algorithm to generate a three-dimensional tomogram and realize high-resolution imaging. The thermal wave tomography disclosed by the invention has the characteristics of rapidness, no damage, high resolution, non-contact, large area and visualization, and is suitable for detecting the polymer insulating material.

The invention provides an optical lens and near-to-eye display equipment. The optical lens sequentially comprises a first group with positive focal power, a second group with positive focal power and a third group with negative focal power along the reverse direction of light transmission, the first group sequentially comprises a first lens with positive focal power and a second lens with positive focal power from a human eye entrance pupil side to an image source side; the second group sequentially comprises a third lens with negative focal power, a fourth lens with negative focal power, a fifth lens with focal power, a sixth lens with focal power and a seventh lens with positive focal power from the human eye entrance pupil side to the image source side; the third group sequentially comprises an eighth lens with negative focal power and a ninth lens with negative focal power from the human eye entrance pupil side to the image source side; and the range of the distance CTW between the light incident surface of the ninth lens and the image source on the optical axis is adjustable. The optical lens provided by the invention has the advantages of adjustable diopter and excellent imaging quality.

The invention discloses an optical photographic lens. The optical photographic lens comprises a lens group, at least one isolating ring and a lens barrel for accommodating the lens group and the at least one isolating ring. The lens group sequentially comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens which have focal power from the object side to the image side along the optical axis, and the positive and negative attributes of the focal power of the first lens and the seventh lens are different. The at least one isolation ring comprises a third isolation ring which is located on the image side of the third lens and makes contact with the image side face of the third lens. The optical photographic lens satisfies: (D3m + d3m) / (D3m-d3m) * R5 / R6 < 125, D3m is the outer diameter of the image side surface of the third isolation ring, d3m is the inner diameter of the image side surface of the third isolation ring, R5 is the curvature radius of the object side surface of the third lens, and R6 is the curvature radius of the image side surface of the third lens.

The invention provides a multi-sensing-value double-tipping-bucket type rainfall sensor, and relates to the field of rainfall sensors. The multi-sensing-value double-tipping-bucket type rainfall sensor comprises a collecting device, a supporting device, a first measuring device and a second measuring device, the collecting device is arranged at the top end of the supporting device, the second measuring device is arranged at the top end of the supporting device, the collecting device comprises a shell, a water bearing device is arranged at the position, close to the upper portion, of the inner side wall of the shell, and the water bearing device is arranged on the inner side wall of the shell. The bottom end of the inner side wall of the water receiver is rotationally connected with a filter screen, and the side wall of the bottom end of the filter screen penetrates through the middle of the bottom end of the inner side wall of the water receiver and is in threaded connection with a cleaning and detaching nut. By arranging the collecting device, equipment blockage and influence on detection data caused by long-time use of the water receiver are avoided, by arranging the supporting device, it is guaranteed that the whole device is in an absolute horizontal state before detection, the first measuring device can play a good role in buffering rainwater, the measurement resolution is improved, and by arranging the second measuring device, the detection accuracy is improved. And the measurement precision under the condition of heavy rainfall (heavy rainfall intensity) is effectively improved.

The utility model discloses an optical lens. The utility model relates to a zoom lens, which sequentially comprises a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power, a fourth lens with negative focal power, a fifth lens with negative focal power, a sixth lens with positive focal power and a seventh lens with negative focal power from an object side to an image side along an optical axis, the first lens has positive focal power, the eighth lens has positive focal power, the ninth lens has positive focal power, the tenth lens has negative focal power, and the eleventh lens has positive focal power.

The invention discloses a curved prism lens and electronic equipment. The curved prism lens comprises a curved prism and a plurality of lenses from an object side to an image side, the curved prism comprises an incident surface, a reflecting surface and an emergent surface, the curved prism is equivalently used as a first lens, the incident surface of the curved prism is an object side surface of the first lens, and the emergent surface of the curved prism is an image side surface of the first lens; the plurality of lenses are arranged in sequence and are arranged between the curved prism and the imaging surface; wherein the first lens has positive focal power, and the focal length f1 of the first lens and the focal length f'of the curved prism lens meet the condition that f1 / f 'is larger than or equal to 0.5 and smaller than or equal to 2.3. According to the curved prism lens and the electronic equipment, the local thickness of the lens is reduced, miniaturization of the lens is facilitated, and the light and thin requirements of a user on the electronic equipment are met.