3results about How to "Reduce image blur" patented technology

This invention belongs to the field of laser micromachining and relates to a coaxial monitoring system for ultrafast laser micromachining. The system includes an ultrafast laser, a beam-splitting plate, a laser focusing lens, an intermediate lens group, a filter, a fixed-magnification telecentric lens, and a high dynamic range camera. The ultrafast laser emits ultrafast laser light. The beam-splitting plate and the laser focusing lens are arranged sequentially from front to back along the optical path of the ultrafast laser. The laser focusing lens focuses the ultrafast laser light onto the workpiece, generating visible monitoring light on the workpiece. The visible monitoring light passes through the laser focusing lens and is reflected by the beam-splitting plate to form reflected visible monitoring light. The intermediate lens group, filter, fixed-magnification telecentric lens, and high dynamic range camera are arranged sequentially from front to back along the optical path of the reflected visible monitoring light. This invention provides a coaxial monitoring system for ultrafast laser micromachining that improves imaging clarity and resolution.

This utility model discloses an image acquisition and positioning system for asphalt pavement. The system includes a trailer hitch connector for connection to a vehicle trailer hitch; a longitudinal aluminum profile with one end vertically inserted into the trailer hitch connector; a transverse aluminum profile perpendicular to the longitudinal profile and connected to its other end; a camera backplate mounted on the transverse aluminum profile; an area array camera connected to the camera backplate; and a GPS module mounted on the transverse aluminum profile. This system reduces image blurring and distortion problems common in traditional acquisition systems and solves the problem of inaccurate image-geographical location calibration in existing technologies. It has strong adaptability and flexibility, can work stably in various weather conditions and complex road conditions, ensuring all-weather, efficient image acquisition. Furthermore, the system reduces installation and maintenance complexity, improves overall system stability, and lowers costs.

This application relates to the field of underwater robot technology and discloses a multimodal fusion intelligent detection method for bridge defects using underwater robots. The method includes: acquiring a set of underwater environmental parameters; dynamically adjusting imaging parameters by optimizing the light propagation path to overcome problems such as light attenuation and scattering in the underwater environment; utilizing multi-sensor data fusion technology, combining sonar and optical imaging data to generate a high-quality sequence of bridge surface images; extracting, classifying, and weighting defects in the images to generate an intermediate image set containing defect features; and performing multi-dimensional verification and local correction to ensure the accuracy of the defect features; finally, by evaluating the quality of the intermediate image set, standardized image data is generated to provide reliable input for defect extraction. This application can provide efficient and accurate technical support for bridge maintenance and safety assessment.