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• Announcing our latest open source project : DeviceDetector

  30 juillet 2014, par Stefan Giehl — Community, Development, Meta, DeviceDetector

  This blog post is an announcement for our latest open source project release : DeviceDetector ! The Universal Device Detection library will parse any User Agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model.

  Read on to learn more about this exciting release.

  Why did we create DeviceDetector ?

  Our previous library UserAgentParser only had the possibility to detect operating systems and browsers. But as more and more traffic is coming from mobile devices like smartphones and tablets it is getting more and more important to know which devices are used by the websites visitors.

  To ensure that the device detection within Piwik will gain the required attention, so it will be as accurate as possible, we decided to move that part of Piwik into a separate project, that we will maintain separately. As an own project we hope the DeviceDetector will gain a better visibility as well as a better support by and for the community !

  DeviceDetector is hosted on GitHub at piwik/device-detector. It is also available as composer package through Packagist.

  How DeviceDetector works

  Every client requesting data from a webserver identifies itself by sending a so-called User-Agent within the request to the server. Those User Agents might contain several information such as :

  • client name and version (clients can be browsers or other software like feed readers, media players, apps,…)
  • operating system name and version
  • device identifier, which can be used to detect the brand and model.

  For Example :

  Mozilla/5.0 (Linux; Android 4.4.2; Nexus 5 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/32.0.1700.99 Mobile Safari/537.36

  This User Agent contains following information :

  Operating system is Android 4.4.2, client uses the browser Chrome Mobile 32.0.1700.99 and the device is a Google Nexus 5 smartphone.

  What DeviceDetector currently detects

  DeviceDetector is able to detect bots, like search engines, feed fetchers, site monitors and so on, five different client types, including around 100 browsers, 15 feed readers, some media players, personal information managers (like mail clients) and mobile apps using the AFNetworking framework, around 80 operating systems and nine different device types (smartphones, tablets, feature phones, consoles, tvs, car browsers, cameras, smart displays and desktop devices) from over 180 brands.

  Note : Piwik itself currently does not use the full feature set of DeviceDetector. Client detection is currently not implemented in Piwik (only detected browsers are reported, other clients are marked as Unknown). Client detection will be implemented into Piwik in the future, follow #5413 to stay updated.

  Performance of DeviceDetector

  Our detections are currently handled by an enormous number of regexes, that are defined in several .YML Files. As parsing these .YML files is a bit slow, DeviceDetector is able to cache the parsed .YML Files. By default DeviceDetector uses a static cache, which means that everything is cached in static variables. As that only improves speed for many detections within one process, there are also adapters to cache in files or memcache for speeding up detections across requests.

  How can users help contribute to DeviceDetector ?

  Submit your devices that are not detected yet

  If you own a device, that is currently not correctly detected by the DeviceDetector, please create a issue on GitHub
  In order to check if your device is detected correctly by the DeviceDetector go to your Piwik server, click on ‘Settings’ link, then click on ‘Device Detection’ under the Diagnostic menu. If the data does not match, please copy the displayed User Agent and use that and your device data to create a ticket.

  Submit a list of your User Agents

  In order to create new detections or improve the existing ones, it is necessary for us to have lists of User Agents. If you have a website used by mostly non desktop devices it would be useful if you send a list of the User Agents that visited your website. To do so you need access to your access logs. The following command will extract the User Agents :

  zcat ~/path/to/access/logs* | awk -F'"' '{print $6}' | sort | uniq -c | sort -rn | head -n20000 > /home/piwik/top-user-agents.txt

  If you want to help us with those data, please get in touch at devicedetector@piwik.org

  Submit improvements on GitHub

  As DeviceDetector is free/libre library, we invite you to help us improving the detections as well as the code. Please feel free to create tickets and pull requests on Github.

  What’s the next big thing for DeviceDetector ?

  Please check out the list of issues in device-detector issue tracker.

  We hope the community will answer our call for help. Together, we can build DeviceDetector as the most powerful device detection library !

  Happy Device Detection,

• Google Analytics Now Illegal in Austria ; Other EU Member States Expected to Follow

  18 janvier 2022, par Erin — Privacy

  Breaking news : The Austrian Data Protection Authority (“Datenschutzbehörde” or “DSB” or “DPA”) has ruled that Austrian website providers using Google Analytics are in violation of the GDPR. 

  This ruling stems from a decision made in 2020 by the Court of Justice of the European Union (CJEU) that stated that cloud services hosted in the US are incapable of complying with the GDPR and EU privacy laws. The decision was made because of the US surveillance laws requiring US providers (like Google or Facebook) to provide personal data to US authorities. 

  The 2020 ruling, known as “Schrems II”, marked the ending of the Privacy Shield, a framework that allowed for EU data to be transferred to US companies that became certified. 

  The tech industry was sent into a frenzy following this decision, but many US and EU companies decided to ignore the case. The choice to ignore is what landed one Austrian business in the DPA’s line of fire, damaging the brand’s reputation and possibly resulting in a hefty fine of up to €20 million or 4% of the organisation’s global turnover. 

  About the Austrian DPA’s Model Case 

  In this specific case, noyb (the European Center for Digital Rights) found that IP addresses (which are classified as personal data by the GDPR) and other identifiers were sent to the US in cookie data as a result of the organisation using Google Analytics. 

  This model case led to the DPA’s decision to rule that Austrian website providers using Google Analytics are in violation of GDPR. It is believed that other EU Member States will soon follow in this decision as well.

  "We expect similar decisions to now drop gradually in most EU member states. We have filed 101 complaints in almost all Member States and the authorities coordinated the response. A similar decision was also issued by the European Data Protection Supervisor last week."

  What does this mean if you are using Google Analytics ?

  If there is one thing to learn from this case, it is that ignoring these court rulings and continuing to use Google Analytics is not a viable option. 

  If you are operating a website in Austria, or your website services Austrian citizens, you should remove Google Analytics from your website immediately. 

  For businesses in other EU Member States, it is also highly recommended that you take action before noyb and local data protection authorities start targeting more businesses. 

  "Instead of actually adapting services to be GDPR compliant, US companies have tried to simply add some text to their privacy policies and ignore the Court of Justice. Many EU companies have followed the lead instead of switching to legal options."

  Removing Google Analytics from your site doesn’t mean that you need to give up website analytics altogether though. There are a variety of Google Analytics alternatives available today. Matomo in particular is a powerful open-source web analytics platform that gives you 100% data ownership and GDPR compliance. 

  

  Matomo is one of the best Google Analytics alternatives offering privacy by design on our Cloud, On-Premise and Matomo for WordPress. So you can get the insights you need while remaining compliant. As the GDPR continues to evolve, you can rest assured that Matomo will be at the forefront of these changes. 

  In addition, all Google Analytics data can be imported into Matomo so no historical data is lost. To make your migration as seamless as possible, we’ve put together a guide to migrating from Google Analytics to Matomo. 

  Ready to begin your journey to GDPR compliance ? Check out our live demo and start your 21-day free trial now – no credit card required.

  If you are interested in learning more about GDPR compliance and Matomo, check out our GDPR resources below :    

  • GDPR Manager user guide
  • How to fill in the information asset registration when using Matomo
  • How to make Matomo GDPR compliant in 12 easy steps
  • How to not process any personal data with Matomo and what it means for you
  • PII, personal data and GDPR. Discover what this means for your privacy
  • How should I write my privacy notice for Matomo Analytics under GDPR
  • Lawful basis for processing personal data under GDPR with Matomo
  • How to complete your privacy policy with Matomo Analytics under GDPR
  • GDPR compliance for Premium Features
  • How to get your Matomo plugin ready for GDPR
  • Subprocessors on Matomo Cloud (subprocessors not applicable to On-Premise)
  • Privacy in Matomo

  What does this mean if you are using Matomo ? 

  Our users can rest assured that Matomo remains in compliance with GDPR as all data is stored in the EU (Matomo Cloud) or in any country of your choice (Matomo On-Premise). With Matomo you’re able to continue analysing your website and not worry about GDPR.

  Final thoughts

  For EU businesses operating websites, now is the time to act. While Google pushes out false narratives to try and convince users that it is safe to continue using Google Analytics, it’s clear from these court rulings that the data protection authorities across the EU disagree with Google’s narrative.

  The fines, reputational damage and stresses mounting from using Google Analytics are imminent. Find an alternative to Google Analytics as this problem is not going away. 

  Getting started with Matomo is easy. Make the switch today and start your free 21-day trial – no credit card required. 

• How to extract a fixed set of frames from a live video stream for machine learning prediction in PyTorch ?

  12 avril 2022, par Samay Lakhani

  I recently created a Video Swin Transformer model that takes in a ([batch_size], 3, 32, 224, 224) [batch_size, channel, temporal_dim, height, width] tensor for video and outputs logits. The goal is to have the model predict on a live stream from a camera. Is there any way to capture the fixed sequence of 32 frames repetitively and have the model predict on a live stream. If prediction time is longer than 32 frames, can I stretch out the frames over a longer time period like a minute ? Thanks.