ZMDKF-IIA

[working principle]

★Traditional Chinese Medicine Diagnosis Tongue Surface Detection and Assessment Analysis System, the equipment developed by the team of Professor Li Fufeng of Shanghai University of Traditional Chinese Medicine, is now a domestic Weiyi Tongue. Surface patent certificate enterprise, certificate number. Ranzhudengzi No. 0445053, copyright holder Shanghai University of Traditional Chinese Medicine.

★Technical content Including tongue and face diagnosis module, tongue and face diagnosis detection and assessment analysis module, user management module, fingerprint identification login module, Chinese and English version software, which can be upgraded to the four-diagnosis instrument of traditional Chinese medicine.

From the perspective of pattern recognition, the DKF-II Chinese Medicine Facial Diagnosis and Analysis System obtains the qualitative and quantitative analysis results of facial color, gloss and lips by segmenting the patient's facial images. Combined with the professional diagnosis of doctors, the professional diagnosis results are given and printed as reports. . The system can achieve the role of assisting TCM clinical diagnosis. Read the facial diagnosis information data from the database, create and edit the case, analyze and interpret the color, gloss and lips of the facial line, and establish a TCM diagnosis report. The TCM tongue analyzer has been tested in Shanghai Longhua Hospital and Shanghai Shuguang Hospital. Thousands of tongue images have been collected and analyzed, and the analysis results are in high agreement with clinical diagnosis.

【Function details】

The DKF-II TCM facial diagnosis and analysis system uses the shape model ASM (Active Shape Model) to locate the eyes, nose and other organs, and extract the face areas such as the forehead, the chin and the two zygomatic regions. By using the K-means algorithm to extract the color of the facial image, and calculating the distance of different color cluster centers to analyze the facial color; by using the improved 2DPCA to extract the facial image, by calculating the test sample features and training samples The cosine distance between the features is used to realize the gloss analysis of the facial image; the analysis of the lips is realized by using the SVM support vector machine to extract multiple features of the image and screen the subset.

1. The function of patient information entry and collection is used to collect basic information of patients, perform simple query and browsing of patient information in the current database, and collect and manage patient photos.

2. The main function of patient information query is to sort and classify the patient information in the database, and to perform fuzzy search on various information of the patient.

3. Facial image analysis is the core functional module of the TCM facial diagnosis and analysis system. Its function is to quantitatively analyze the patient's facial photos, and to give the result data and generate reports at the same time.

4. The diagnosis report function can display the diagnosis results of the current patient and the patient after the inquiry, and finally save it in an electronic format.

5. The doctor's diagnosis information input function is to interpret the patient's face color, gloss and lip color according to the doctor's own experience, and save the diagnosis result and enter it into the database.

6. The function of data import and export and batch analysis, export the patient data in the database as Excel files for user analysis and management.

【Output result】

face color information

[4 categories/23 signs]

complexion (14 types)

The complexion is red and yellow, the complexion is white, the complexion is pale, the complexion is pale, the complexion is blue, the complexion is blue-yellow, the complexion is yellow, the complexion is pale, the complexion is yellow and bright, the complexion is yellow and dark, the complexion is red, the complexion is dark red, the complexion is black, Dark complexion.

local features

(2 kinds)

The cheeks are red and the eyes are black.

face gloss

(3 types)

Glossy, a little glossy (less splendor), matte (no splendor).

Lip Color (4 kinds)

Light, red, dark red, cyan.

【Basic parameters】

DKF-II Traditional Chinese Medicine Face Diagnosis and Analysis System Dimensions (L*W*H): 470mm*470mm*500mm Weight: 12KG Working Voltage: 220V Frequency: 50HZ

【Light source parameters】

Ring light source series-RI12045

Product features: high-density LED array, high brightness, with diffuser plate light guide, the light is evenly diffused and irradiated at 45 degrees in the horizontal direction.

White 24V 10.7W Brightness 5000mcd Color Temperature 5600K

Material: Alloy aluminum

Use environment: -25TO+85 degrees

Storage environment: -40TO+100 degrees

【Camera configuration】

Digital camera (Canon: Body characteristics: APS-C standard digital SLR Effective pixels: 8 million Display size: 2.5 inches about 207,000 pixels Liquid sensor size: 22.2*14.7mm CMOS HD camera: HD (720P) Product weight: about 450g (Body only) Memory Card Type: SD/SDHC/SDXC Card Body Color: Sleek Black, Metallic Gray to 1/60 second)

Configuration

Workbench: one

Digital camera: one

Customized light source: one

USB data cable: one

Power cord: one

Note: The computer is self-configured or assigned