PyData Bratislava Meetup #11 [KiwiSecurity edition]

This is a past event

8 people went

Kafe Nervosa

Zámocká 30 · Bratislava

How to find us

http://www.nervosa.sk/kontakt#map-canvas

Location image of event venue

Details

KiwiSecurity is a company based in Vienna, developing solutions for video analytics. KiwiSecurity’s technology addresses security, as well as business or traffic intelligence, and can be integrated into any existing or new system (e.g. perimeter protection, traffic analysis, behavior analysis). KiwiSecurity’s unique product “KiwiVision Privacy Protector®” makes video surveillance compliant with privacy regulations and is certified with the „European Privacy Seal“.

Event description:

Abstract: Deep learning can help improve significantly object detection applications, by avoiding some of the limitations of classical computer vision algorithms. Real world applications are subject to several constraints about the required speed and hardware, and can present very complex scenes. I will show how KiwiSecurity is dealing with these constraints, how they influence the frameworks and models that we are using and the strategies that we have selected to improve our performances.

Bio: Michelangelo Fiore, Computer Vision Developer at KiwiSecurity for one year. Previously have done PhD studies in Human-Robot Interaction at LAAS/CNRS in Toulouse.

LinkedIn: https://www.linkedin.com/in/michelangelo-fiore-a5a972104/

Google Scholar: https://scholar.google.com/citations?user=4A9waI4AAAAJ&hl=en

Registration:

@Meetup.com group's event here (https://www.meetup.com/PyData-Bratislava/events/251723941/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-bratislava-meetup-11-kiwisecurity-edition-tickets-47033509493) (if you use both your seat is guarateed). +our event you can find also @Facebook here (https://www.facebook.com/events/256889288204919/).

[Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat]

Language of the event: Python, C, Java, C++ + English

------------------------------------
PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]
------------------------------------
--
PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users acrossall the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.

The PyData ​Code of Conduct​ governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen ([masked]; [masked]).
------------------------------------
Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/

Our Twitter account here: https://twitter.com/PyDataBA

Our LinkedIn group here: https://www.linkedin.com/groups/13506080

All materials from previous meetups on GitHub here: https://github.com/GapData/PyData
------------------------------------
Organizers:
GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good.

|| Data. Think. Change. ||
--
NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research. We accomplish this mission through our educational programs and events as well as through fiscal sponsorship of open source data science projects. We aim to increase collaboration and communication within the scientific computing community.