30results about How to "Improve the quality of acquisition" patented technology

The invention discloses a cucumber picking robot system in a greenhouse environment. The robot system comprises a binocular stereo vision system, a mechanical arm device and a robot mobile platform; the binocular stereo vision system is used for acquiring cucumber images, processing the images in real time and acquiring the position information of the acquired targets; the mechanical arm device is used for capturing and separating the acquired targets according to the position information of the acquired targets; and the robot mobile platform is used for independently moving in the greenhouseenvironment; wherein, the binocular stereo vision system comprises two black and white cameras, a dual-channel vision real-time processor, a lighting device and an optical filtering device; the mechanical arm device comprises an actuator, a motion control card and a joint actuator; and the robot mobile platform comprises a running mechanism, a motor actuator, a tripod head camera, a processor anda motion controller. The invention also discloses a cucumber picking method in the greenhouse environment. The method of combining machine vision and agricultural machinery is adopted to construct the cucumber picking robot system which is suitable for the greenhouse environment, thus realizing automatic robot navigation and automatic cucumber reaping, and reducing the human labor intensity.

The invention discloses a ground education satellite kit capable of realizing the function of a standard cube star and a demonstration method thereof. The kit includes a satellite body, a ground demonstration terminal and a Lora wireless communication module for realizing the interaction between the two. The demonstration terminal sends uplink control commands, and the satellite selects different actions to execute after receiving different commands and returns data information downlink; the user adjusts and changes the satellite operation status through the corresponding uplink commands, and obtains the data information collected by the satellite. The present invention can realize the function test of standard cube satellite, including air pressure measurement, communication, positioning, image acquisition, satellite attitude measurement and adjustment, etc., and can also be used for satellite design assembly, integration and testing, software programming, hardware system development and Satellite ground measurement and control, suitable for personnel training at various levels, learning and debugging for CubeSats. The invention has the advantages of compact structure, complete system, comprehensive and intuitive demonstration functions, etc., and is applicable to aerospace engineering professional education.

Embodiments of the present invention provide an illumination information optimization method and apparatus, and an electronic device, said method comprising: acquiring a target picture, and decomposing the target picture into a first pre-set number of sub-pictures; acquiring geometric centers of the sub-pictures, determining light intensity weighted centers according to image moments of the sub-pictures, and determining illumination angles of the sub-pictures on the basis of the light intensity weighted centers and the geometric centers of the sub-pictures; performing grayscale processing on the sub-pictures, and obtaining illumination intensities of the sub-pictures according to grayscale values of points on the sub-pictures; acquiring illumination intensity weight values of the sub-pictures, and obtaining an illumination intensity of the target picture according to the illumination intensities of the sub-pictures and the illumination intensity weight values of the sub-pictures; and calculating the illumination angles of the sub-pictures, so as to obtain an illumination angle of the target picture.

The present invention is an optical fingerprint identification module, which includes: a housing, an image acquisition component, a light-guiding diffusion layer, a light-condensing reflection layer, a pressing plate, at least one light source and an optical channel structure. The light channel structure is formed under the pressing plate and above the image acquisition component, and passes through the light-condensing reflective layer and part of the light-guiding and diffusing layer to be covered by the light-condensing and reflecting layer and part of the light-guiding and diffusing layer surround. Wherein, the light emitted by the at least one light source can be conducted and diffused in the light-guiding diffusion layer, and can be concentrated and reflected in the light-gathering reflective layer, and the light emitted by the at least one light source can be formed in the The light guiding and diffusing layer goes back and forth between the light concentrating and reflecting layer, and then irradiates the pressing plate through the light channel structure, and then reflects to the image capturing component to be captured. The invention can increase the utilization rate of light more effectively.

The present invention provides a visual 3D pick-and-place method and system based on a collaborative robot. The method includes: calibrating the internal and external parameters of a camera of a binocular structured light three-dimensional scanner; calibrating the hand-eye of a collaborative robot to obtain a calibration result matrix; collecting objects to be picked and placed The 3D digital model of the object; the calibrated binocular structured light 3D scanner is used to obtain the point cloud data of the scattered and stacked objects to be picked and placed, and the point cloud is segmented to obtain multiple scene point clouds of the objects to be picked and placed; according to The scene point cloud of multiple objects to be picked and placed selects the object to be picked and placed with the highest grasping success rate as the grasping target; through the registration of the 3D digital model of the captured target with the features of the scene point, the pre- The defined pick-and-place pose points are registered to the scene, and the registered pose estimation results are obtained as the grasping pose of the grasping target; the preliminary grasping path trajectory of the collaborative robot is planned. It can accurately identify the target object, and the grasping and positioning accuracy is high.