5results about How to "Accurate image capture" patented technology

The invention discloses a multi-degree-of-freedom part image automatic acquisition method and an acquisition device, primary image acquisition is completed manually, and when the device acquires part images for the first time, a system records key node attitude data such as the current position of each movement mechanism of a clamp, the angle of a camera, the position of a light source and the like. The attitude data is stored in a control system and is used as attitude reference of subsequent same or similar parts. When the same part is collected for multiple times subsequently or similar parts are collected for similar parts, the system can directly call the stored posture data, and the parts and the camera are automatically adjusted to the recorded optimal relative positions. According to the invention, stable and high-quality automatic image acquisition of each surface of the part can be realized, the consistency of multiple acquisition is ensured, and efficient online detection is realized.

The utility model discloses a vehicle specification dynamic inspection device. The vehicle specification dynamic inspection device comprises a driving mechanism, a bracket and a plurality of image acquisition mechanisms, the driving mechanism comprises a plate link chain and a detection unit, and the detection unit is used for detecting and feeding back position information of the vehicle; the support comprises a cross beam and vertical beams connected with the two ends of the cross beam respectively. The image acquisition mechanism comprises a first image acquisition mechanism and a second image acquisition mechanism; and the image acquisition mechanism is used for moving and shooting a vehicle specification image according to the vehicle position information fed back by the detection unit. According to the vehicle specification dynamic inspection device, all-directional shooting is achieved through the image acquisition mechanism, the specific moving position of the vehicle is detected and fed back through the detection unit, and therefore the image acquisition mechanism is controlled to move, image acquisition and inspection of the more accurate position can be achieved, the shooting effect is better, and when a vehicle type or hardware is newly added, the vehicle specification dynamic inspection device is more convenient to use. And the compatibility of the import equipment is improved.

The invention relates to the technical field of warehouse checking, in particular to an automatic warehouse checking system integrating visual identification, which comprises a checking matching unit, a feature extraction unit, a goods shelf classification unit, a goods identification unit and a goods shelf distribution unit, and further comprises a goods shelf coding unit, the goods shelf coding unit is used for coding a plurality of goods shelves of a target warehouse to obtain a goods shelf coding set corresponding to the target warehouse, the goods shelf coding set comprises the number of goods shelf rows, the number of goods shelf columns and the number of goods shelf layers, and the goods shelf coding set corresponding to the target warehouse is transmitted to the inventory matching unit. Through a high-definition camera and an automatic image processing technology, the system can quickly and accurately complete image acquisition, feature extraction and classification of the goods shelf, and the automatic process greatly reduces the time and labor cost required by manual checking.

An image classification device based on deep learning disclosed by the present invention comprises an arch-shaped frame, uniformly distributed support columns are fixedly connected in the right side of the arch-shaped frame, and one end of each support column is fixedly connected with a groove plate. Through cooperative work of a second motor, a lead screw, a nut pair, a guide column, a moving seat, a connecting column, an electric sliding rail and a sliding block, flexible adjustment of the height and the left-right position of a camera is achieved, accurate image collection can be conducted on objects at different heights and positions, the comprehensiveness and accuracy of image collection are improved, and the working efficiency is improved. And image classification requirements in various scenes are met.

This invention discloses an automated device and method for cleaning multiple types of vegetables, belonging to the technical field of vegetable cleaning equipment. It includes a feeding and conveying assembly, cleaning tanks for leafy vegetables, fruits, and root vegetables, as well as a conveying assembly for each type of vegetable. The cleaning tanks for leafy vegetables, fruits, and root vegetables are all located outside the feeding and conveying assembly. Through the coordinated operation of a first, second, and third cleaning mechanism, this invention employs specific cleaning modes tailored to the physical characteristics of leafy vegetables, fruits, and root vegetables: gentle, non-contact bubble cleaning; general cleaning with soft brushes; and powerful cleaning with alternating scrubbing using hard brushes. This ensures that leafy vegetables remain undamaged, fruits are scratch-free, and root vegetables are efficiently cleaned, achieving a balance between food integrity and thorough cleaning.