http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110084223-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_92491048ad2b3f4d042a4c74750b5dbd |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08B21-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-52 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-50 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G08B21-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
filingDate | 2019-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e7ab2f26323c60b99199bc3358b0b143 |
publicationDate | 2019-08-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-110084223-A |
titleOfInvention | A kind of monitoring method and system for swimming pool |
abstract | The invention discloses a monitoring method and system for swimming pools, which realizes monitoring by recognizing and analyzing the facial expressions and body movements of swimmers. The main point of the technical solution is to set up a monitoring system in the swimming pool to implement safety monitoring. The monitoring system includes a video acquisition unit, a preprocessing unit, a feature extraction unit, a training unit, an identification unit and an alarm unit. After the training of the drowning identification model is completed, the video The acquisition unit collects the swimmer's real-time swimming video, and after preprocessing and feature extraction, it is input to the drowning recognition model. When the drowning feature is recognized, the alarm unit is triggered to give an alarm. The present disclosure adopts a drowning recognition model trained by a swimming pool monitoring method and system through a deep neural network, and has a good preventive effect on drowning. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111223273-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112489371-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111368743-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111626162-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111626162-B |
priorityDate | 2019-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 25.