New Taipei, Taiwan

Cal-Comp Big Data, Inc.

USPTO Granted Patents = 49

% Expired Patents = 87.8


Forward Citations = 128

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31 inventors (with patents filed for the assignee):

goldMedal Shyh-Yong Shen (29 out of 35 patents)

silverMedal Min-Chang Chi (27 out of 28 patents)

bronzeMedal Teng-Nan Lo (9 out of 10 patents)

4.  Eric Budiman Gosno (8 out of 8 patents)

5.  Ming-Hua Hung (6 out of 24 patents)

6.  Ching-Wei Wang (6 out of 6 patents)

7.  Hui-Teng Lin (5 out of 5 patents)

8.  Ching-Sheng Tsai (5 out of 7 patents)

9.  Yung-Hsuan Lin (4 out of 5 patents)

10.  Cheng-Hsuan Tsai (4 out of 4 patents)

11.  Chia-Ming Yong (3 out of 3 patents)

12.  Chun-An Hsu (2 out of 12 patents)

13.  Nai-Chiang Pai (2 out of 5 patents)

14.  Yi-Wen Chou (2 out of 2 patents)

15.  Dai-Jung Lee (2 out of 2 patents)


Core Competencies:
Augmented Reality
Smart Mirror
Skin Analysis
Body Fat Monitor
Cosmetic Product Estimation
Eyebrow Shape Preview
Lip Gloss Guide
Skin Undertone Detection
User Interface
Touch-Controlled Assembly
Electronic Device
Voice Control

49 patents:

Company Overview
Cal-Comp Big Data, Inc., based in New Taipei, Taiwan, specializes in advanced technologies that integrate augmented reality with personal care solutions. The company focuses on developing innovative products such as smart mirrors that enhance user experience through body information analysis and skin condition detection. Their offerings include tools for make-up assistance, eyebrow shape analysis, and skin aging assessment, aimed at providing personalized skin diagnosis and improving overall beauty routines.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 20 2026

49 Patents

#67 in New Taipei

#408 in Taiwan

#14,293 in the World

New Taipei, TW
New Taipei, Taiwan
Forward Citations = 128

31 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Cal-Comp Big Data, Inc.. Retrieved from https://idiyas.com/company/cal-comp-big-data

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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