6results about How to "Improve inventory efficiency" patented technology

Embodiments of the present specification provide an object inventory method, an object inventory device, a computer readable storage medium, an electronic device and a computer program product. The method comprises: performing target detection on an image about a target region to obtain a plurality of detection boxes about objects in the target region, and then needing to identify the category of the object corresponding to each detection box. In the embodiments of the present specification, the actual category corresponding to each detection box is determined based on a seed object of a known category. Further, according to the actual category corresponding to each detection box, the inventory data of the objects in the target region is determined, including: the number of categories of the objects contained in the target region, and / or the number of objects belonging to each category in the target region.

The invention provides a tag inventory method and device and electronic equipment, and relates to the technical field of wireless, and the method comprises the steps that a reader-writer sends a first message; under the condition that the N response messages received by the reader-writer collide, the reader-writer sends a second message to the N tags; under the condition that the label number of the returned response message is one, the reader-writer backtracks an interference response message which is closest to the first response message of the target label and contains a second response message of the target label, and performs interference elimination on the interference response message according to the first response message to obtain a residual response message; and the reader-writer performs inventory on the first tag and the tag corresponding to the residual response message. According to the method and the device, the response result of the multiple tags is backtracked, and interference elimination is performed on the response result of the multiple tags according to the response result of the single tag, so that the residual response message is decoded, the broadcasting frequency of a reader-writer is reduced, and the inventory efficiency of the tags can be improved.

The utility model relates to the technical field of goods checking devices, in particular to an intelligent visual checking robot, which is characterized in that a control console is arranged on a chassis, a touch display screen is arranged on the control console, two symmetrically arranged mirror image columns are arranged on the rear side of the control console, a sliding chute is formed in the top of each mirror image column, and an electric push rod is arranged at the bottom of each sliding chute; sliding rods are connected to the tops of the electric push rods, a plurality of camera modules which are sequentially distributed at equal intervals from top to bottom are arranged at the ends, away from each other, of the two sliding rods and the two mirror image columns, opening seams communicating with the sliding grooves are vertically formed in the sides, away from each other, of the two mirror image columns, and the opening width of the opening seams is larger than the width of the camera modules; a controller is arranged in the console, the camera module, the electric push rod, the laser radar device and the touch display screen are all electrically connected with the controller, and the problems that the robot consumes power quickly and the checking efficiency needs to be improved due to the fact that the robot can complete checking of goods on two parallel goods shelves only when walking back and forth during checking are solved.

This application discloses a stacking device. The stacking device includes a picking platform for picking up target materials; an information acquisition component, disposed on the picking platform, for collecting actual material information of the target materials on the picking platform; and a sending module for sending the actual material information to a server, enabling the server to perform inventory checks based on the actual material information. When using this stacking device, after the picking platform picks up the target materials, the information acquisition component collects the actual material information of the target materials, and the sending module sends the collected actual material information to the server. The server then identifies the materials based on the actual material information, determines the type, quantity, and status of the target materials, compares it with the inventory data in the warehouse management system, and updates the inventory information of the material in the warehouse management system, completing the inventory check. This not only improves the accuracy of material inventory checks but also increases inventory efficiency.

This invention relates to a method for estimating the number of tags using the collision waveform of the initial frame (SOF), belonging to the field of radio frequency identification (RFID). The invention constructs a random forest offline model for tag number estimation: the initial Q-value of the DFSA algorithm is set to 0, and multiple sets of tags with known quantities are inventoried. At this time, all tags respond simultaneously, and the collision waveform of the initial frame (SOF) has a one-to-one mapping relationship with the tag quantity. The SOF collision waveform and the known tag quantity are used as the feature set and label space of the training random forest sample set, respectively, to train the random forest offline model for tag number estimation. The number of tags to be inventoried is then estimated: the SOF collision waveform of a dense number of unknown tags is used as the input to the random forest offline model, and its output is the estimated tag quantity. This invention can effectively improve the inventory efficiency of high-frequency RFID systems.

The application discloses an automatic warehouse inventory method and system based on a warehouse-mounted RFID scanning unmanned aerial vehicle, and belongs to the technical field of warehouse logistics automation. The method comprises the following steps: a warehouse control server plans an unmanned aerial vehicle inventory route containing a scanning trigger point based on a warehouse three-dimensional model; the unmanned aerial vehicle autonomously flies along the route, and an RFID scanning module is automatically started by a trigger control unit to read a label when flying over a storage location trigger area; read data is real-timely returned to the server for binding and processing. The application realizes the full-process automation of the stereoscopic warehouse inventory operation, replaces the inefficient and dangerous manual inventory, utilizes the maneuverability of the unmanned aerial vehicle in combination with the non-contact reading of the RFID, greatly improves the inventory efficiency, safety and accuracy, has the advantages of flexible deployment, strong adaptability, support for multi-machine cooperation and the like, and is suitable for the inventory management of various large stereoscopic warehouses.