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SHANDONG LINGNENG ELECTRONIC TECH CO LTD

Overview
  • Total Patents
    11
  • GoodIP Patent Rank
    154,466
About

SHANDONG LINGNENG ELECTRONIC TECH CO LTD has a total of 11 patent applications. Its first patent ever was published in 2018. It filed its patents most often in China. Its main competitors in its focus markets computer technology are KEPLER VISION TECH B V, INTELLIX AS and BEIJING YIDA TULING TECH CO LTD.

Patent filings in countries

World map showing SHANDONG LINGNENG ELECTRONIC TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 11

Patent filings per year

Chart showing SHANDONG LINGNENG ELECTRONIC TECH CO LTDs patent filings per year from 1900 to 2020

Focus industries

# Industry
#1 Computer technology

Top inventors

# Name Total Patents
#1 Zhu Shunyi 9
#2 Fan Jihui 8
#3 Chen Jianxue 6
#4 Du Laimin 6
#5 Zhou Yuchen 6
#6 Deng Guochao 6
#7 Gong Zhiyuan 6
#8 Zhang Song 6
#9 Bai Yueyin 6
#10 Qu Mingjun 5

Latest patents

Publication Filing date Title
CN110674923A Rapid model verification method among multiple neural network frames
CN110321969A A kind of vehicle face alignment schemes based on MTCNN
CN110321970A A kind of fine-grained objective classification method of multiple features based on branch neural network
CN110334772A A kind of quick mask method of expansion classification formula data
CN110322522A A kind of vehicle color identification method based on the interception of target identification region
CN110334676A A kind of small target detecting method compared on the blurred picture locally restored based on Feature Descriptor
CN109934151A A kind of method for detecting human face based on movidius computing chip and Yolo face
CN109902757A One kind being based on the improved faceform's training method of Center Loss
CN108399454A A kind of completely new sectional convolution neural network target recognition
CN108108809A A kind of hardware structure and its method of work that acceleration is made inferences for convolutional Neural metanetwork
CN108280516A The optimization method of Intelligent evolution is mutually won between a kind of multigroup convolutional neural networks