http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111415368-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-20 |
| filingDate | 2020-03-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-03-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-03-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111415368-B |
| titleOfInvention | A fast measurement method for droplet velocity of mobile devices based on deep learning |
| abstract | The invention relates to a rapid measurement method for the droplet velocity of a mobile device based on deep learning. The invention collects the images of the droplet dropping process to construct an image data set, constructs a droplet image training set and a droplet image test set through image preprocessing and manual labeling methods; selects a two-class neural network model, and trains through the droplet image training set The two-class neural network model is obtained after training; the image collected by the intelligent terminal is preprocessed to obtain the droplet image to be tested, and the two-class neural network model after training is used to predict, if the second drop state is predicted If it is in the dripping state, it will continue to be predicted by the two-class neural network model after training after multiple frames of images, until the next dripping state is predicted to be the dripping state, and the time used for the interval between the two adjacent dripping states is calculated. , and further calculate the current drip rate. The invention measures the droplet speed quickly and accurately, and greatly improves the measurement efficiency of the droplet speed. |
| priorityDate | 2020-03-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 18.