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BEIJING SHENCE TECH CO LTD

Overview
  • Total Patents
    31
  • GoodIP Patent Rank
    50,420
About

BEIJING SHENCE TECH CO LTD has a total of 31 patent applications. Its first patent ever was published in 2019. It filed its patents most often in China. Its main competitors in its focus markets computer technology, measurement and control are CHENGDU TOPPLUSVISION SCIENCE & TECH CO LTD, SMITH CASEY ARTHUR and XOVIS AG.

Patent filings in countries

World map showing BEIJING SHENCE TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 31

Patent filings per year

Chart showing BEIJING SHENCE TECH CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Zhu Xiang 31

Latest patents

Publication Filing date Title
CN111856497A Single photon imaging method and system
CN111721720A Spectral imaging system
CN111721718A Spectral imaging method and system
CN111667524A Depth error calibration method of time-of-flight camera
CN111583392A Object three-dimensional reconstruction method and system
CN111583391A Object three-dimensional reconstruction method and system
CN111508011A Depth data calibration method of flight time camera
CN111507339A Target point cloud obtaining method based on intensity image
CN111507919A Denoising processing method for three-dimensional point cloud data
CN111445507A Data processing method for non-visual field imaging
CN111507340A Target point cloud data extraction method based on three-dimensional point cloud data
CN111487648A Non-visual field imaging method and system based on flight time
CN111145166A Safety monitoring method and system
CN110979321A Obstacle avoidance method for unmanned vehicle
CN111081375A Early warning method and system for health monitoring
CN111127436A Displacement detection early warning method for bridge
CN111144276A Monitoring and early warning method for pasture
CN111028912A Environment-assisted life monitoring method and system
CN111127411A Monitoring control method for fishery breeding
CN111144252A Monitoring and early warning method for people stream analysis