TY - GEN
T1 - Image Processing and ArcSoft Based Data Acquisition and Extraction System
AU - Yanglu,
AU - Khan, Asif
AU - Yadav, Amit
AU - Qinchao,
AU - Shrestha, Digita
PY - 2022/4
Y1 - 2022/4
N2 - Characteristic data acquisition and extraction are one of the core realizations of artificial intelligence application development, which is completed through the data output by traditional hardware equipment as the basis, coupled with efficient artificial intelligence applications, and then provide accurate and reliable data support for the data analysis stage. Focusing on image filtering and recognition technology, and framework development applying to portable monitoring systems, here is a realization of data acquisition and extraction system. OpenCV graphics library is used to complete the data acquisition of monitoring terminal and a bilateral Gaussian filter algorithm with configurable parameters adapted to the Raspiberry hardware is designed to filter out noise and smooth the image while saving/protecting the edges. The filtering output as the image sample data basis, a rapid development framework (V1.0) with the ArcSoft artificial intelligence engine as the core is realized to filter out redundant data and extract facial feature data on demand (what users care about) with the conversion and storage in proper format, and such extraction tool is suitable for face data processing.
AB - Characteristic data acquisition and extraction are one of the core realizations of artificial intelligence application development, which is completed through the data output by traditional hardware equipment as the basis, coupled with efficient artificial intelligence applications, and then provide accurate and reliable data support for the data analysis stage. Focusing on image filtering and recognition technology, and framework development applying to portable monitoring systems, here is a realization of data acquisition and extraction system. OpenCV graphics library is used to complete the data acquisition of monitoring terminal and a bilateral Gaussian filter algorithm with configurable parameters adapted to the Raspiberry hardware is designed to filter out noise and smooth the image while saving/protecting the edges. The filtering output as the image sample data basis, a rapid development framework (V1.0) with the ArcSoft artificial intelligence engine as the core is realized to filter out redundant data and extract facial feature data on demand (what users care about) with the conversion and storage in proper format, and such extraction tool is suitable for face data processing.
KW - ArcSoft AI engine
KW - Data acquisition and extraction
KW - Framework development
KW - Image filtering processing
UR - http://www.scopus.com/inward/record.url?scp=85128945688&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-9873-6_46
DO - 10.1007/978-981-16-9873-6_46
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85128945688
SN - 9789811698729
VL - 286
T3 - Smart Innovation, Systems and Technologies
SP - 501
EP - 514
BT - Intelligent and Cloud Computing
A2 - Mishra, Debahuti
A2 - Buyya, Rajkumar
A2 - Mohapatra, Prasant
A2 - Patnaik, Srikanta
PB - Springer Science and Business Media Deutschland GmbH
CY - Singapore
T2 - 2nd International Conference on Intelligent and Cloud Computing, ICICC 2021
Y2 - 22 October 2021 through 23 October 2021
ER -