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ZHUHAI THINKJOY INFORMATION TECH CO LTD

Overview
  • Total Patents
    12
  • GoodIP Patent Rank
    142,698
  • Filing trend
    ⇩ 100.0%
About

ZHUHAI THINKJOY INFORMATION TECH CO LTD has a total of 12 patent applications. It decreased the IP activity by 100.0%. Its first patent ever was published in 2017. It filed its patents most often in China. Its main competitors in its focus markets computer technology, digital networks and it methods for management are CHENGDU JIAHUA WULIAN CLOUD TECH CO LTD, TRACTABLE LTD and ONFIDO LTD.

Patent filings in countries

World map showing ZHUHAI THINKJOY INFORMATION TECH CO LTDs patent filings in countries
# Country Total Patents
#1 China 12

Patent filings per year

Chart showing ZHUHAI THINKJOY INFORMATION TECH CO LTDs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Zhou Wenming 12
#2 Wang Zhipeng 12
#3 Ma Jiali 4
#4 Tang Haibo 1

Latest patents

Publication Filing date Title
CN108171262A The recognition methods of ciphertext picture/mb-type, device, storage medium and processor
CN107657249A Method, apparatus, storage medium and the processor that Analysis On Multi-scale Features pedestrian identifies again
CN107844753A Pedestrian in video image recognition methods, device, storage medium and processor again
CN107491787A Local binarization CNN processing method, device, storage medium and processor
CN107316079A Processing method, device, storage medium and the processor of terminal convolutional neural networks
CN107423721A Interactive action detection method, device, storage medium and processor
CN107273894A Recognition methods, device, storage medium and the processor of car plate
CN107169106A Video retrieval method, device, storage medium and processor
CN106980854A Number-plate number recognition methods, device, storage medium and processor
CN106874522A Information recommendation method, device, storage medium and processor
CN106920310A Access control method, apparatus and system
CN106845549A A kind of method and device of the scene based on multi-task learning and target identification