Challenges of Embedded Computer Vision in Automotive Safety Systems

2008 ◽  
pp. 257-279 ◽  
Author(s):  
Yan Zhang ◽  
Arnab S. Dhua ◽  
Stephen J. Kiselewich ◽  
William A. Bauson
Keyword(s):  
Computer Vision ◽  
Automotive Safety ◽  
Embedded Computer Vision ◽  
Embedded Computer ◽  
Safety Systems

Tailoring design for embedded computer vision applications

Computer ◽  
2015 ◽  
Vol 48 (5) ◽  
pp. 58-62 ◽  
Author(s):  
Jason Schlessman ◽  
Marilyn Wolf
Keyword(s):  
Computer Vision ◽  
Embedded Computer Vision ◽  
Embedded Computer ◽  
Computer Vision Applications

Interleaved pixel lookup for embedded computer vision

2008 ◽  
Author(s):  
Kota Yamaguchi ◽  
Yoshihiro Watanabe ◽  
Takashi Komuro ◽  
Masatoshi Ishikawa
Keyword(s):  
Computer Vision ◽  
Embedded Computer Vision ◽  
Embedded Computer

scholarly journals Smart Doll: Emotion Recognition Using Embedded Deep Learning

Symmetry ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 387 ◽  
Author(s):  
Jose Espinosa-Aranda ◽  
Noelia Vallez ◽  
Jose Rico-Saavedra ◽  
Javier Parra-Patino ◽  
Gloria Bueno ◽  
...  
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Ethical Issues ◽  
Real Life ◽  
Graphic Processing Units ◽  
Cloud Processing ◽  
Embedded Computer Vision ◽  
Embedded Computer ◽  
Learning Techniques ◽  
Learning Capabilities

Computer vision and deep learning are clearly demonstrating a capability to create engaging cognitive applications and services. However, these applications have been mostly confined to powerful Graphic Processing Units (GPUs) or the cloud due to their demanding computational requirements. Cloud processing has obvious bandwidth, energy consumption and privacy issues. The Eyes of Things (EoT) is a powerful and versatile embedded computer vision platform which allows the user to develop artificial vision and deep learning applications that analyse images locally. In this article, we use the deep learning capabilities of an EoT device for a real-life facial informatics application: a doll capable of recognizing emotions, using deep learning techniques, and acting accordingly. The main impact and significance of the presented application is in showing that a toy can now do advanced processing locally, without the need of further computation in the cloud, thus reducing latency and removing most of the ethical issues involved. Finally, the performance of the convolutional neural network developed for that purpose is studied and a pilot was conducted on a panel of 12 children aged between four and ten years old to test the doll.

Embedded Computer Vision

2016 ◽  
pp. 1-14 ◽  
Author(s):  
Marilyn Wolf
Keyword(s):  
Computer Vision ◽  
Embedded Computer Vision ◽  
Embedded Computer

scholarly journals An Embedded Computer Vision System for Beans Quality Inspection

2020 ◽  
Vol 175 (24) ◽  
pp. 44-53
Author(s):  
Robson A.G. Macedo ◽  
Peterson A. Belan ◽  
Sidnei A. Araújo
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Quality Inspection ◽  
Computer Vision System ◽  
Embedded Computer Vision ◽  
Embedded Computer

scholarly journals Design Methodology for Embedded Computer Vision Systems

2008 ◽  
pp. 27-47 ◽  
Author(s):  
Sankalita Saha ◽  
Shuvra S. Bhattacharyya
Keyword(s):  
Computer Vision ◽  
Design Methodology ◽  
Vision Systems ◽  
Embedded Computer Vision ◽  
Embedded Computer ◽  
Computer Vision Systems
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