This is the official Wiki page of the EAVISE research group [http://www.eavise.be].
EAVISE (Embedded Artificially intelligent VISion Engineering) is a multidisciplinary research group of KU Leuven based at Campus De Nayer in Sint-Katelijne-Waver focusing on applications of advanced computer vision and artificial intelligence. The research goal of EAVISE is applying state-of-the-art computer vision techniques as a solution for industry-specific vision problems. In order to meet stringent execution speed, energy footprint, cost and price requirements, the developed algorithms are implemented and optimized on embedded systems, such as GPUs, DSPs and FPGAs.
Application areas include industrial automation, product inspection, traffic monitoring, e-health, agriculture, eye-tracking research, microscopic imaging, surveillance and land surveying.
The vision part of EAVISE is integrated with VISICS. The Artificial Intelligence part of EAVISE is integrated with DTAI.
This Wikispace is meant to document different software and hardware problems we've overcome. In order to help future researchers who are having the same problems, all solutions are documented.
EAVISE (Embedded Artificially intelligent VISion Engineering) is a multidisciplinary research group of KU Leuven based at Campus De Nayer in Sint-Katelijne-Waver focusing on applications of advanced computer vision and artificial intelligence. The research goal of EAVISE is applying state-of-the-art computer vision techniques as a solution for industry-specific vision problems. In order to meet stringent execution speed, energy footprint, cost and price requirements, the developed algorithms are implemented and optimized on embedded systems, such as GPUs, DSPs and FPGAs.
Application areas include industrial automation, product inspection, traffic monitoring, e-health, agriculture, eye-tracking research, microscopic imaging, surveillance and land surveying.
The vision part of EAVISE is integrated with VISICS. The Artificial Intelligence part of EAVISE is integrated with DTAI.
This Wikispace is meant to document different software and hardware problems we've overcome. In order to help future researchers who are having the same problems, all solutions are documented.
Frameworks
ACF pedestrian detector - Piotr DollarOpenCV related HOW-TO's
Linux based solutions:Windows based solutions:
Embedded platform related HOW-TO's
BeagleBoard solutions can be found here.PandaBoard solutions can be found here.
DM 816x DSP Board solutions can be found here.
Installation of packages
Hardware related HOW-TO's
Hardware guidelines and solutions can be found here.Software (OS + packages) related HOW-TO's
Simple & small guides and tricks
Administration
Current project wiki's and information websites