scholarly journals Real-time multi-camera video acquisition and processing platform for ADAS

2016 ◽  
Author(s):  
Sergio Saponara
Keyword(s):  
Real Time ◽  
Video Acquisition ◽  
Processing Platform

Real time Sentiment Analysis of Tweets using Apache Spark and Scala

2021 ◽  
Vol 1 (2) ◽  
pp. 9-15
Author(s):  
V Mareeswari ◽  
Sunita S Patil ◽  
Ramanan G
Keyword(s):  
Sentiment Analysis ◽  
Real Time ◽  
Ad Hoc ◽  
Apache Spark ◽  
Data Streaming ◽  
Real Time Processing ◽  
Open Source Data ◽  
Textual Data ◽  
Bayes Algorithm ◽  
Processing Platform

Sentiment Analysis is becoming the field of focus with time considering the user experience weighs much more for the business to grow and for the studies as well. The sentimental expressions refers to the emotions or feeling of a person across certain point of focus or issues. So, in this project, with the assistance of Apache Spark Framework, an open source data streaming and processing platform, sentiment evaluation is done on the tweets from Twitter by the means of real time processing as well as an Ad-hoc Run. Some preprocessing of the textual data has been done upon for better characteristics extraction thus resulting in greater accuracy. The validation of this has been done for achieving better result by comparing the other processes when Naive Bayes algorithm is used.

EVPS: An Automotive Video Acquisition and Processing Platform

2020 ◽  
Author(s):  
Christophe Flouzat ◽  
Erwan Piriou ◽  
Mickael Guibert ◽  
Bojan Jovanovic ◽  
Mohamad Oussayran
Keyword(s):  
Video Acquisition ◽  
Processing Platform

Implementation of a data processing platform for real-time distance measurement with dual-comb lasers

2015 ◽  
Author(s):  
Kai Ni ◽  
Mingfei Xu ◽  
Qian Zhou ◽  
Hao Dong ◽  
Xinghui Li ◽  
...  
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Distance Measurement ◽  
Time Distance ◽  
Processing Platform

A Robotic Facial Expression Recognition System Using Real-Time Vision System

2008 ◽  
Vol 381-382 ◽  
pp. 375-378
Author(s):  
K.T. Song ◽  
M.J. Han ◽  
F.Y. Chang ◽  
S.H. Chang
Keyword(s):  
Image Processing ◽  
Facial Expression ◽  
Real Time ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Vision System ◽  
Recognition System ◽  
Expression Recognition ◽  
On Line ◽  
Processing Platform

The capability of recognizing human facial expression plays an important role in advanced human-robot interaction development. Through recognizing facial expressions, a robot can interact with a user in a more natural and friendly manner. In this paper, we proposed a facial expression recognition system based on an embedded image processing platform to classify different facial expressions on-line in real time. A low-cost embedded vision system has been designed and realized for robotic applications using a CMOS image sensor and digital signal processor (DSP). The current design acquires thirty 640x480 image frames per second (30 fps). The proposed emotion recognition algorithm has been successfully implemented on the real-time vision system. Experimental results on a pet robot show that the robot can interact with a person in a responding manner. The developed image processing platform is effective for accelerating the recognition speed to 25 recognitions per second with an average on-line recognition rate of 74.4% for five facial expressions.

Real-Time Video Acquisition and Frame Compression Processing Technology Based on FFmpeg

2014 ◽  
Vol 631-632 ◽  
pp. 494-497 ◽  
Author(s):  
Yun Geng Xu ◽  
San Xing Cao
Keyword(s):  
Real Time ◽  
Time Lapse ◽  
Digital Transformation ◽  
Processing Technology ◽  
Broad Application ◽  
Video Information ◽  
Video Acquisition ◽  
Time Lapse Photography

Currently, video has become the most popular form of media, traditional video field is facing simulated to digital transformation. Using the computer to process the video information has a broad application prospect in many areas. This paper proposes an approach of real-time video acquisition and frame compression processing technology by using the FFmpeg and PHP function to achieve the effect of time-lapse photography. Finally, through the Apache log test the system running status.

A Design of Real-Time Image Processing Platform Based on TMS320C6678

2014 ◽  
Vol 971-973 ◽  
pp. 1454-1458
Author(s):  
Lei Qu ◽  
Yan Tian ◽  
Jun Liu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
Processing System ◽  
Large Field ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
High Speed Image Processing ◽  
Processing Platform ◽  
Time Image

For real time target detection, identification and tracking in high frame rates, large field of view images, a real-time image processing system is designed. A TMS320C6678 DSP runs as the chief arithmetic processor of this system and FPGA as the secondary controller. C6678 is compared with the same series C6414 in image compression algorithm test. Experimental results show that the new system has a more effective construct, and higher reliability, and can provide a platform for the new high-speed image processing.

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