CN108722717B - An intelligent color recognition and coloring system and method - Google Patents

Abstract

The invention discloses an intelligent color recognition and coloring system and method. The identification and coloring system includes a laser color identification module, a color analysis module, an automatic control module, a color analysis and supply module, a color checking processing module, and a coloring module; the laser color identification module detects the color components of the measured object and converts them into data signals ; The color analysis module converts the data signal into an instruction; the automatic control module performs the ratio of the base color; the color analysis supply module screens out the corresponding pigment data from different types and different types of supply storage; Color recognition and comparative analysis with the data signal. The automatic control module judges whether the comparison and analysis results are consistent. If they are consistent, they will directly issue instructions to realize automatic material feeding and complete coloring; if they are inconsistent, update the data signals and return them for re-analysis and processing. The invention has a high degree of intelligent automation, can effectively reduce color difference, and realizes an integrated system from detection to operation.

Description

An intelligent color recognition and coloring system and method

technical field

The invention relates to the technical field of color recognition, in particular to an intelligent color recognition coloring system and method.

Background technique

With the development of modern industrial production towards high speed and automation, color recognition is widely used in various industrial inspection and automatic control fields, and color recognition work, which has been dominated by human eyes for a long time in the production process, will be more and more Replaced by the corresponding color sensor. The colorful colors in life give us the enjoyment of beauty, and we accept the visual perception brought by color all the time, including our clothes, cars, furniture, signs and so on. Color comes from different fields, all with different and important interactions.

However, color difference is an urgent problem to be solved for multi-color recognition and coloring. For a single color, color selection and recognition is relatively simple. If it is a mixture of multiple colors or gradient colors, it will be very difficult to recognize, and it is difficult to achieve color consistency. For example: In the car painting industry, the car needs to be repainted and repainted due to scratches. It is hoped that it will be the same as the new one after completion, but there will still be some color differences inevitably.

There are many reasons for the color difference: on the one hand, it is caused by the quality of the raw paint; on the other hand, it is affected by the proportion of the formulated formula. The influence of external light during the color matching process will also cause color difference, which will affect the consistency of the final color. For another example, in the printing and dyeing industry, there will definitely be color differences between different batches of products of basically the same color. There are various reasons that can lead to the difference in color.

There is no similar product in the market now. In the current production process of printing and dyeing and automobile painting, the color is determined by the ratio of primary colors. Generally, the color is matched according to the production experience of the workers. Then observe with the naked eye whether there is a color difference in the target color. If there is a color difference, re-adjust the color material ratio, apply it to the color plate again, and compare it with the target color again until the naked eye feels that there is not much color difference or the basic color is the same. . However, this method cannot effectively eliminate chromatic aberration, and from naked eye recognition to artificial coloring, the workload is large and the efficiency is low.

Contents of the invention

The purpose of the present invention is to provide an intelligent color recognition and coloring system and method, which has a high degree of intelligent automation, can effectively reduce color difference, and realize an integrated system from detection to operation.

To achieve the above object, the present invention provides the following scheme:

An intelligent color recognition and coloring system, including a laser color recognition module, a color analysis module, an automatic control module, a color analysis and feeding module, a color checking and processing module, and a coloring module;

The laser color recognition module is used to detect the color components of the measured object through a laser source of standard RGB three primary colors and convert them into data signals and transmit them to the color analysis module;

The color analysis module is used to convert the data signal transmitted from the laser color recognition module into an instruction and send it to the automatic control module;

The automatic control module is used to perform primary color matching according to the instructions conveyed by the color analysis module, and transmit the matching data signal to the color analysis and supply module;

The color analysis and supply module is used to filter out the corresponding pigment data from different types and types of supply storage according to the ratio data signal transmitted by the automatic control module;

The color checking processing module is used to perform color recognition on the pigment data provided by the color analysis and supply module, and perform comparative analysis with the data signal provided by the color analysis module, and the comparison and analysis result data is fed back to the automatic control module;

The automatic control module judges whether the comparison and analysis results fed back by the color checking processing module are consistent, and if so, directly issues an instruction to realize automatic material feeding and completes the coloring; if not, then updates the data signal and returns to the color The analysis module re-analyzes and processes;

The coloring module is used to automatically control the discharge time and brightness according to the pigment data provided by the automatic control module, so as to realize automatic coloring.

Optionally, the laser color recognition module is also used to store the data signal.

Optionally, the color analysis module also has self-learning capability, and performs analysis and processing according to parameters set by users.

An intelligent color recognition and coloring method, comprising:

Obtain the color component of the detected object and convert it into a data signal;

converting said data signal into an instruction;

Perform base color matching according to the instructions to generate matching data;

Screen out corresponding pigment data from different types and types of supply storage according to the ratio data;

Carrying out color recognition on the pigment data, and performing comparative analysis with the data signal, to obtain a comparative analysis result;

Judging whether the comparison and analysis results are consistent, if yes, realize automatic material supply and complete coloring; if not, update the data signal and return to the analysis and processing of the data signal and convert it into an instruction.

According to the specific embodiments provided by the invention, the invention discloses the following technical effects:

The invention provides an intelligent color recognition and coloring system and method, which solves the problem of intelligently recognizing the color of the target object and converting it into accurate data, and the computer sends it to the automatic control feeding unit according to the obtained data to complete the automatic proportioning It is an intelligent system that realizes automatic coloring at the same time, has a high degree of intelligent automation, can effectively reduce color difference, and realizes an integrated system from detection to operation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the embodiments. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without paying creative labor.

Fig. 1 is a schematic structural diagram of an intelligent color recognition and coloring system according to an embodiment of the present invention;

Fig. 2 is a flow chart of an intelligent color recognition and coloring method according to an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The purpose of the present invention is to provide an intelligent color recognition and coloring system and method, which has a high degree of intelligent automation, can effectively reduce color difference, and realize an integrated system from detection to operation.

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

FIG. 1 is a schematic structural diagram of an intelligent color recognition and coloring system according to an embodiment of the present invention.

As shown in Figure 1, an intelligent color recognition coloring system includes a laser color recognition module 101, a color analysis module 102, an automatic control module 103, a color analysis and supply module 104, a color checking processing module 105 and a coloring module 106;

The laser color recognition module 101 is used to detect the color components of the measured object through a laser source of standard RGB three primary colors and convert them into data signals and transmit them to the color analysis module 102;

The color analysis module 102 is configured to convert the data signal transmitted from the laser color recognition module 101 into an instruction and send it to the automatic control module 103;

The automatic control module 103 is used to perform primary color matching according to the instructions conveyed by the color analysis module 102, and transmit the matching data signal to the color analysis and supply module 104;

The color analysis and supply module 104 is used to filter out corresponding pigment data from different types and types of supply storage according to the ratio data signal transmitted by the automatic control module 103;

The color checking processing module 105 is used for performing color identification on the pigment data provided by the color analysis and supply module 104, and performing comparative analysis with the data signal provided by the color analysis module 102, and feeding back the comparison and analysis result data to The automatic control module 103;

The automatic control module 103 judges whether the comparison and analysis results fed back by the color checking processing module 105 are consistent, if so, then directly issue an instruction to realize automatic material feeding, and complete the coloring; if not, then update the data signal and return to the The color analysis module 102 re-analyzes;

The coloring module 106 is used for automatically controlling the discharge time and brightness according to the paint data provided by the automatic control module 103 to realize automatic coloring.

The laser color recognition module 101 is also used for storing the data signal.

The color analysis module 102 also has a self-learning capability, and performs analysis and processing according to parameters set by users.

Fig. 2 is a flow chart of an intelligent color recognition and coloring method according to an embodiment of the present invention.

As shown in Figure 2, an intelligent color recognition and coloring method includes:

Step 201: Obtain the color components of the detected object and convert them into data signals;

Step 202: converting the data signal into an instruction;

Step 203: Perform primary color matching according to the instruction, and generate matching data;

Step 204: Filter out the corresponding pigment data from different types and types of supply storage according to the ratio data;

Step 205: Perform color recognition on the pigment data, and perform comparative analysis with the data signal to obtain a comparative analysis result;

Step 206: Judging whether the comparison and analysis results are consistent, if yes, realize automatic material supply and complete the coloring; if not, update the data signal and return to analyze and process the data signal and convert it into an instruction.

The invention provides an intelligent color recognition and coloring system and method, which has a high degree of intelligent and automatic integration, and truly realizes the integrated production from the detection of the measured object to the automatic completion of color processing; its application range is wide, and it can be used for automobile manufacturing, printing and dyeing Textile, printing, construction, decoration and other industries have good functions; improve the accuracy and efficiency of work; save resources, save time, make work efficient and accurate and reduce errors; through intelligent and scientific detection and analysis processing, effective It avoids errors caused by human factors and objective factors; adding artificial intelligence to self-correct. Artificial intelligence is the system endowed with an intelligent ecological operating environment, and through continuous self-correction and self-learning, it can serve key tasks in various industries more quickly and quickly.

In this paper, specific examples have been used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; meanwhile, for those of ordinary skill in the art, according to the present invention Thoughts, there will be changes in specific implementation methods and application ranges. In summary, the contents of this specification should not be construed as limiting the present invention.

Claims (4)

1. it is a kind of intelligence color identify toning system, which is characterized in that including laser color recognition module, color analysis module, Automatic control module, color analysis feed block, color collation process module and colouring module；

The laser color recognition module, for detecting the color component of testee by the trichromatic laser source of standard RGB And data signal transmission is converted to the color analysis module；

The color analysis module, the data-signal for coming to the laser color recognition module transfer are converted under instruction Reach the automatic control module；

The automatic control module, the instruction for being conveyed according to the color analysis module carry out primary colours proportion, and will proportion Data-signal sends the color analysis feed block to；

The color analysis feed block, proportion data-signal for being transmitted according to the automatic control module is from different type Corresponding colorant data is filtered out in different types of feed memory；

The color collation process module, the colorant data for providing the color analysis feed block carry out color knowledge Not, and with the color analysis module data-signal provided compares and analyzes, and comparison analysis result data feeds back to described Automatic control module；

The automatic control module judges whether the comparison analysis result of the color collation process module feedback is consistent, if so, It then directly assigns instruction and realizes Automatic-feeding, complete colouring；If it is not, then updating the data-signal is back to the color analysis Module re-starts analysis processing；

The colouring module, the colorant data for being provided according to automatic control module automatically control time and the brightness of discharging, Realize automatic colouring.

2. a kind of intelligent color according to claim 1 identifies toning system, which is characterized in that the laser color recognition Module is also used to store the data-signal.

3. a kind of intelligent color according to claim 1 identifies toning system, which is characterized in that the color analysis module Also there is ability of self-teaching, be analyzed and processed according to parameter set by user.

4. a kind of intelligence color identifies painting methods characterized by comprising

It obtains the color component of object to be detected and is converted to data-signal；

Instruction is converted by the data-signal；

Primary colours proportion is carried out according to described instruction, generates proportion data；

Corresponding colorant data is filtered out from different type and different types of feed memory according to the proportion data；

Color recognition is carried out to the colorant data, and is compared and analyzed with the data-signal, obtains comparing analysis result；

Judge whether the comparison analysis result is consistent, if so, realizing Automatic-feeding, completes colouring；If it is not, described in then updating Data-signal return is described to be analyzed and processed the data-signal and is converted into instruction.