Substance detection method and apparatus, and detection device

Patent metadata

Field	Value
Publication number	US-11079332-B2
Application number	US-201916256822-A
Country	US
Kind code	B2
Filing date	Jan 24, 2019
Priority date	Jun 21, 2017
Publication date	Aug 3, 2021
Grant date	Aug 3, 2021

Abstract

A substance detection method and apparatus, and a detection device are provided. The method includes: obtaining spectral information and image information of a substance to be detected; performing image recognition according to the image information to obtain appearance state information of the substance to be detected; determining a sub-database matching the appearance state information in a preset spectral database according to the appearance state information, wherein the spectral database includes a plurality of sub-databases classified according to the appearance state of the substance; and matching the spectral information with the obtained spectral information in the sub-database to obtain a detection result of the substance to be detected.

First claim

The invention claimed is:

1. A detection terminal, comprising a light source and a lens component, wherein the lens component is used for collecting light emitted by the light source and collecting the scattered light of the light through a substance to be detected, so that the detection terminal obtains the spectral information of the substance to be detected according to the scattered light; and the detection terminal further comprises:
a camera component used for taking a picture of the substance to be detected, so that the detection terminal obtains the image information of the substance to be detected;
wherein the lens component comprises a first fixed focus lens, the camera component comprises a second fixed focus lens; and the distance between the first fixed focus lens and the second fixed focus lens is represented as a, the fixed focal length of the first fixed focus lens is represented as d, then the installation angle of the second fixed focus lens is α=arctan (a/d), and the fixed focal length of the second fixed focus lens is f=√{square root over (a 2 +d 2 )}.

2. The detection terminal according to claim 1 , wherein the lens component comprises a first zoom lens, and the camera component comprises a second zoom lens;
the distance between the first zoom lens and the second zoom lens is represented as a, the real-time focal length of the first zoom lens is represented as d, the installation angle of the first zoom lens is represented as a, and the real-time focal length of the second zoom lens is represented as f; and
the detection terminal further comprises a control unit, used for obtaining the real-time focal length d of the first zoom lens, and adjusting the real-time focal length of the second zoom lens f=d*cos α+a*sin α.

3. The detection terminal according to claim 2 , wherein the minimum focal length of the first zoom lens is represented as d1, then the field of view angle of the second zoom lens is: β≥(90°−α−arctan (d1/a))*2.

4. A substance detection device, comprising:
at least one processor;
the detection terminal according to claim 1 ; and
a memory in communication connection with the at least one processor; wherein
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the following method:
obtaining spectral information and image information of a substance to be detected;
performing image recognition according to the image information to obtain appearance state information of the substance to be detected;
determining a sub-database matching the appearance state information in a preset spectral database according to the appearance state information, wherein the spectral database includes a plurality of sub-databases classified according to the appearance state of the substance; and
matching the spectral information with the obtained spectral information in the sub-database to obtain a detection result of the substance to be detected.

Assignees

• Cloudminds Shenzhen Robotics Systems Co Ltd

Inventors

• Luo Lei

Classifications

• G06V30/416

  Extracting the logical structure, e.g. chapters, sections or page numbers; Identifying elements of the document, e.g. authors · CPC title

• G01N21/3563

  for analysing solids; Preparation of samples therefor · CPC title

• G01N2021/0181

  Memory or computer-assisted visual determination · CPC title

• G01N21/3577

  for analysing liquids, e.g. polluted water · CPC title

• G01N21/65 Primary

  Raman scattering · CPC title