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SHENZHEN EXTREME VISION TECH CO LTD

Overview
  • Total Patents
    14
  • GoodIP Patent Rank
    119,142
  • Filing trend
    ⇩ 50.0%
About

SHENZHEN EXTREME VISION TECH CO LTD has a total of 14 patent applications. It decreased the IP activity by 50.0%. Its first patent ever was published in 2016. It filed its patents most often in China. Its main competitors in its focus markets computer technology, digital networks and control are GUIIN TOPINTELLIGENT COMMUNICATION TECH CO LTD, BANUBA LTD and MEGVII TECH LTD.

Patent filings in countries

World map showing SHENZHEN EXTREME VISION TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 14

Patent filings per year

Chart showing SHENZHEN EXTREME VISION TECH CO LTDs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Chen Zhenjie 10
#2 Luo Yun 8
#3 Chen Shuo 6
#4 Deng Fucheng 4
#5 Jiang Lihui 3
#6 Huang Yingning 3
#7 Huang He 3
#8 Chen Shihe 2
#9 Peng Chaoran 2
#10 Shu Qiujie 2

Latest patents

Publication Filing date Title
CN111310737A Lane line detection method and device
CN111311601A Segmentation method and device for spliced image
CN111462499A Method and device for detecting traffic violation
CN110209574A A kind of data mining system based on artificial intelligence
CN110188884A A kind of data processing method and Inference Platform
CN110213345A A kind of AI algorithm management system
CN109884721A Safety check prohibited items detection method, device and electronic equipment based on artificial intelligence
CN108197593A More size face's expression recognition methods and device based on three-point positioning method
CN107679518A A kind of detecting system
CN107575750A A kind of pipeline leakage detection method and pipeline leakage testing device
CN107578041A A kind of detecting system
CN107645652A A kind of illegal geofence system based on video monitoring
CN106778650A Scene adaptive pedestrian detection method and system based on polymorphic type information fusion
CN106709521A Fire pre-warning method and fire pre-warning system based on convolution neural network and dynamic tracking