2results about How to "Reduce cropping" patented technology

This invention discloses a nonwoven fabric production equipment with multiple pressing functions, relating to the field of nonwoven fabric hot pressing technology. It includes an equipment mounting plate, at least two sets of feeding components, a number of correction components equal to the number of feeding components, a hot press, a base, a pair of receiving components, and receiving rollers. The equipment mounting plate and base are located on both sides of the hot press. At least two sets of feeding components and correction components are mounted on the equipment mounting plate. The correction components are located on the side of the equipment mounting plate closest to the hot press. A pair of receiving components are symmetrically mounted on both sides of the base. Each set of receiving components includes a conical top, and the receiving rollers are located between the pair of conical tops. The operator places the nonwoven fabric raw material onto the sleeve of each feeding component, then passes the nonwoven fabric through the two drum-shaped rollers of the corresponding correction component, pressing the nonwoven fabric into the hot press. Finally, the end of the nonwoven fabric is fixed to the receiving rollers, and the production equipment is started to hot press the nonwoven fabric.

The invention relates to the technical field of image and video anti-shake, and discloses a hybrid anti-shake method and system combining optical anti-shake and electronic anti-shake. The hybrid anti-shake method is applied to a hybrid anti-shake unit, and specifically comprises the following steps: S11, acquiring original data of angular velocities and linear accelerations of a terminal device in three axial directions acquired by a multi-axis IMU, and acquiring actual displacement vectors of a position sensor and an image sensor in the terminal device during optical anti-shake execution; and establishing a uniform timestamp to carry out precision synchronous alignment on the data of the multi-axis IMU, the optical anti-shake position sensor and the image sensor, and generating a motion track estimation feature. According to the method, the actual displacement feedback of the optical anti-shake position sensor is used as an independent sensing source, hardware-level high-precision synchronous fusion is carried out on the independent sensing source, the multi-axis IMU and the image data to construct the motion model, intentional motion and non-intentional shake are accurately distinguished from the source, and the problems of rough motion sensing and weak cooperative basis are solved.