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Target detection method, device and object sorting intelligent system based on few samples

A target detection and sample technology, applied in sorting, computer parts, instruments, etc., can solve the problems of weak generalization, large manpower and time consumption, etc., to reduce sample demand, improve versatility and detection efficiency Effect

Active Publication Date: 2022-02-08
JIHUA LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such methods usually need to collect a large number of object samples for model training. The data collection and labeling process will consume a lot of manpower and time, and the generalization is weak.

Method used

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  • Target detection method, device and object sorting intelligent system based on few samples
  • Target detection method, device and object sorting intelligent system based on few samples
  • Target detection method, device and object sorting intelligent system based on few samples

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Embodiment Construction

[0053] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0054] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

[0055] figure 1 It is a schematic flowchart of a target detection method based on few samples provided by an embodiment of the present disclosure. The object detection method based on few samples can be applied in an application scenario requiring object detection with few samples, and can be e...

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Abstract

The present disclosure relates to the field of target detection, and specifically relates to a target detection method, device, and object sorting intelligent system based on few samples. The target detection method based on few samples includes obtaining basic data sets and building a network structure as a detection model; The detection model is trained to obtain the basic model; the basic model is adjusted according to the new category target sample to obtain the new category target detection model; the position information and category information of the target object in the picture to be queried are obtained according to the new category target detection model. Through the technical solution of the present disclosure, it is possible to quickly adapt to a production line containing new types of objects, reduce the sample demand, and improve the versatility and detection efficiency of the target detection method.

Description

technical field [0001] The present disclosure relates to the field of object detection, in particular to a method and device for object detection based on a small number of samples, and an intelligent object sorting system. Background technique [0002] On the factory production line, there is usually a step of object sorting, which requires a robotic arm to take out target objects from material baskets containing multiple different types of objects, and place them in corresponding sorting baskets for subsequent production processes. When the production object of the production line is changed and a new type of object appears in the material basket, the robot needs to quickly adapt to the changes on the production line, detect and take out the target object to be picked. [0003] At present, traditional detection methods can be used for target detection, but traditional detection methods usually need to use sliding windows for region selection and artificially defined operat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/00G06V10/774G06K9/62B07C5/36
CPCB07C5/361B07C5/362G06F18/214
Inventor 杨旭韵彭悦言高翔李伟温志庆
Owner JIHUA LAB