Huge Potential in Your Pocket – How Smartphones Can Be Used to Make Police Work More Efficient


You don’t need atypical or cost intensive technology to scan and process passports, IDs, license plates and fingerprints. Every mobile device, whether it’s a smartphone or tablet can perform these functions.

Smartphones have been available and affordable in various forms for more than 10 years. More than 4 billion people carry these devices on a daily basis. The potential uses for these devices varies greatly across age ranges however. And how are smartphones used in the workplace?

How can a smartphone be used meaningfully in police work?

Although smartphone cameras are always improving, they have one disadvantage that the person behind the lense does not: they can neither read or comprehend text. It’s with this deficit that the Viennese technology company Anyline can help. At the moment, they’re one of the most successful startups to be founded in Austria. Anyline uses the camera of a smartphone to read, interpret and process visual information.

Anyline is simple to integrate, as a software development kit (SDK), in an app and then install on your smartphone and gives your device the ability to read. No High-End Server is required and all processing is performed on device for security reasons. For police officers in action, this creates a completely new spectrum of situations that can be assessed with a security perspective in real-time.

Questions such as:

  • Is this license plate wanted for search?
  • Has this vehicle been registered as stolen?
  • Has this identification been stolen?
  • Is this passport flagged in the Schengen Area?
  • Has this European driver’s license been examined before?
  • What does Europol think of an identification?

… can all be answered quickly, without radio signal or contact with headquarters. All this information comes from the smartphone you carry with you anyway.

Anyline helps to automate processes in the daily work of police and can be used to reduce the amount of complex documentation that they’re required to fill out. This reduction in data entry means that police have more time to focus on active police work as well. The subjective sense of security that the public has can therefore be increased without increased personnel cost for taxpayers to consider.

Anyline offers products that can read passports and IDs that contain Machine-Readable-Zones. Through the help of artificial intelligence, other types of ID such as European drivers licenses can be learned and added to the range of scan targets of the smartphones. Further forms of ID, such as gun licenses, can be trained at any time, without complication.

We are delighted, that the Austrian Minister for the Interior will be speaking at the European Police Congress regarding his experiences with smartphone technology in policing.

From Passports to Drivers Licenses and Finally to Fingerprints

Anyline is supported by the Austrian Institute of Technology (AIT) in its efforts to bring fingerprint scanning to standard smartphone cameras.

Anyline has invited the AIT to the European Police Congress and will present this fingerprint scanning technology to interested parties at the Innovation Centre.

You will find Anyline at Stand C/17 at the European Police Congress.

Some of the products mentioned will be demonstrated at the stand.

  • Machine-Readable-Zone vs. European Drivers License
  • The Challenges of Scanning License Plates
  • The Austrian Minister for the Interior: Smartphones in Police Work
  • Austrian Institute of Technology: Fingerprint Scanning With Your Smartphone Camera

You can reserve a time for an individual consultation on smartphones in police work by clicking on the following link and selecting your availability:

You can also see the times for all planned product demonstrations on this page.

For more information visit us online at

Police Officer’s Augmented Intelligence

Gathering data for reports and logging it for future reference takes up a large amount of police time. This time could be better spent on active police work rather than administrative tasks. On top of that, these processes can be inaccurate. The payoff for time intensive tasks should be perfect results. 

In February 2018 there is the European Police Congress in Berlin. I will participate and  I am invited for a panel discussion. Topic of this panel discussion will be Safety Network – Mobile Working, Apps & Co – chaired by Karl O. Feger, Saxony State Ministry of the Interior. Introduction will be done by Marco Hauprich, Senior Vice President, Digital Labs, Deutsche Post AG. On the panel we have Michael Jokisch, Federal Police Central Office, Michael Meyer-Schaudwet, Deutsche Telekom Healthcare and Security Solutions GmbH, Jürgen Schmitt*, Inspector of the police, Ministry of the Interior and Sports Rhineland-Palatinate. I am looking forward to present Solutions and Point of View how Police Officer’s daily work can be improved with augmented intelligence. I will share what we have learned so far, from our work with Ministry of Interior in Austria, where more Police Officer’s will be equipped with iPhones and iPads. This equipment is augmented with Anyline’s Computervision and artificial intelligence products to improve and simplify human date entry.

Scanner_q_AnylineUnfortunately, even the best human data entry has been found to contain errors. Logging report data is also slow and, when you consider the work hours required by most data entry processes, expensive. Surprisingly, police forces and private companies persevere with human data entry, despite its well-known drawbacks.

The reasons people make errors during data entry are simple. Any time a person is required to repeatedly record codes and numbers, they will make mistakes. Fatigue and environmental factors make it almost impossible for humans to create perfect data records. Fatigue can lead to complacency when double-checking recorded results. Environmental factors such as light, weather, and location can increase the difficulty of gathering data, which increases the chance of error.

Negative effects not always directly obvious

The negative effects of collecting false data aren’t always immediately obvious. From a police perspective, inaccurate data hurts the chances of securing successful convictions against offenders. On the other side of that coin, inaccurate data could cause police to pursue wrongful convictions. In both cases, inaccurate or incomplete data can lead to wasted police time. This wasted time can end up costing police forces a significant amount of money and resources.

Anyline offers a solution to this problem without requiring police officers to undergo extensive training or carry extra equipment. Our technology turns your smartphone into a perfect scanning device. It works without an internet connection and can record ID numbers and license plates 20 times faster than a human. For a long time, police officers have recorded license plates with a pen and paper. While the simplicity of this approach may seem foolproof, it creates a unique set of challenges for on-duty police officers.

No interruption

For one, it requires a police officer to dedicate his attention to a single point of information for around 30 seconds. In this time, it is impossible to be aware of safety threats or prevent further crimes from being committed in the area. With instant scanning from Anyline, a police officer can point his smartphone at offending license plates and continue to be of service. This ensures that the license plate is perfectly recorded while the police officer remains safe and active.

The mobile scanning of license plates also means you can instantly create a digital record of the license plate. This saves time as police officers do not need to spend time on manual data entry once they return to their station. Instead, they can upload the results of their scans directly to their station database.

The net benefit of this type of scanning is huge when you realize how much time it will save. The ability to upload scan data to a dedicated backend automates a process that has been completed by hand since the start of modern policing. License plate scanning with Anyline also makes sure all administrative follow-up is accurate and supported by correct data.

Anyline offers similar technology for scanning passports and IDs that include a machine-readable zone. IDs and passports can be scanned and digitized just as quickly as license plates. Even better, the data points included in the MRZ such as name, date of birth, gender, nation of birth and more can be extracted in order to create a full profile of an individual based on their ID information.

Almost all codes can be scanned

Scanning with Anyline is also secure. Our mobile OCR technology processes all scan information on your smartphone. This means none of your scan data is sent through the cloud during processing. Scan data can be kept on an officer’s device until they are certain they have a secure connection and then uploaded to the appropriate backend system.

With Anyline, the mobile scanning of almost all codes is possible. We currently support the scanning of passports, IDs, EU license plates and EU drivers’ licenses. Our technology works on both Android and iOS devices and works through a simple, point-and-scan mobile app. – The Austrian AI Landscape

I have to congratulate the guys from for the good work they did in their last article about the Austrian AI landscape.

Based on more than 100 expert interviews, desk research and industry events, they created the first Austrian AI Landscape, covering startups, corporates and accelerators as well as research- and educational institutions.


I am happy that they see as player in the field of AI – and of course we are. With the early adoption of google tensor flow and its application in our field of mobile OCR. By doing so we were able reduce significantly improve the time2market of new products and reducing the need of real-world training data.

Recently I had my first contacts with AIT and their work – I am really impressed, what they are doing in combining AI, Data Science with the blockchain.

Of course they had to mention Sepp Hochreiter from JKU who published his seminal work on long short-term memory, which forms the basis for automated translation systems we use every day. With his support in September we had a tremendous ‘Mega.AI.Meetup‘ at WU Wien with participation from facebook and google.

There is AI in Austria, however we have to talk more about it and the achievements.

Business Agility from start-ups for adults only

Last week I had the opportunity to introduce to some interested people. I shared a look behind the scenes. The people visited Vienna as part of an innovation journey organized by


We from are focusing on mobile OCR and scanning real world things like 7-digit displays of blood sugar devices, passports, driving licenses, license plates, electricity-gas-water-heat meters, stamped serial numbers … any kind of numbers and text with the computational power of a any mobile, off-line in any circumstances. This is WHAT we are doing.

The WHY is simple – ANYLINE will give mobile eyes to the world, like SIRI gave ears.

The HOW is a bit more complex. From technical stand-point we are very close to the leading edge of artificial intelligence. Our technology is based on computer vision and google tensor flow and of course patented.

How are we are managing this? We are applying our style into everything what we do for our users, their businesses based on our own technological platform – open for everyone whatever they are using Apple, Android, Microsoft, SAP Fiori, IBM, Oracle, Google Glass, …

Apply User Empathy – but keep the focus

First and fore most we need a clear vision where our focus in mobile OCR is. We have a technology which has such a breadth and depth of possible applications, that we need to a well defined focus what our clients and user really need and want. I had my experience with people from in San Francisco to really understand user empathy, but our people had this already in their DNA from the beginning of their career, which directly leads to agility in all what they are doing.

Business Agility – Change driven by Customer-Oriented Product and Services 

In the beginning we had a focus on our product. solving all the challenges of real world computer vision, big amount of data necessary, training the neural networks and finally choosing the right application in health and utilities industry. There was a specific client need we were able to solve with this technology. Either the on-boarding to patient platform or mitigation of risk during a smart meter roll-out. However agility comes always with a certain degree of discipline when you are exploring other industries like financial services institution, government, police or automotive.

Operational Excellence – Quarterly Objectives & Key Results

If you talk about discipline you need common agreed objectives and key results. The best way we found to do it, was to apply the methodology of OKR.

Sprints – With discipline applied to all Initiatives

Once you appoint management tasks to computer scientists. They will apply computer science paradigms and their ways of working in everything what they are doing. As long they are sticking to it with a certain degree if discipline, you are on the save side. It’s a no brainer for them to think, plan and work in sprints, conducts scrum meetings, ensure what a product owners does and manage it like a scrum master.

Feedback – Open and honest feedback

Best is to quote King Lear – Nothing can come of nothing: speak again!

Latest and Greatest about … Everything


Last week I had the opportunity to talk about blockchain at Austria’s largest CIO conference. Compared to the 2016 event, blockchain is now a well spread topic and I felt a deep understanding in this group of people about Bitcoin, Ethereum, ICO, Blockchain, Hyper ledger, etc.

0124-1009-2513-4630_craters_of_the_moon_rima_ariadaeus_on_the_moon_from_apollo_10_lunar_orbit_oBeside the standard facts and definitions, we were able to give a wider overview about supply chain applications of blockchain. It’s the tool to improve or enable provenience, identification, verification, certification and last but not least automation of goods and services in the supply chain.

One topic which was in this group not absolutely clear, how blockchain and the GDPR regulation will come along. Still a question I need to further dig into.

Ceterum censeo ICO esse delendam

ICOs are something really weird. I do not understand, why people are investing their money and regulators are not faster reacting on this kind of crowdfunding on steroids. There are way too many pitfalls to do it right, sooner or later regulators will stop it or apply something like the Howey test to all ICOs. Either the coins are considered as securities and under certain strict regulations or coins are like vouchers and at least in Europe under VAT.

For sure an ICO ice age will start and the blockchain reputation will be harmed. There are so many reasonable use cases for blockchains like traceability in the farm2fork supply chain. making parcels intelligent and smart, transform vehicles into wallets or making documents immutable like anyline does in scanning.

Artificial Intelligence

After the AI Summit in Vienna and the conference in Tel Aviv I was able to discuss a bit better the role of AI – being in Gartner’s Emerging Technology Hype Cycle – in a meet up in Vienna. I gave a lot of examples of vertical integrated solutions where a kind of AI is included, but you do not feel, smell or taste AI any longer. Like in the use cases of anyline. we give business eyes, developers can adopt the technology within an hour and the user experience is relieved from typing strings and numbers in their mobiles.

The group of people – experts in computer vision with a significant knowledge about deep learning- was interested in what large corporates are planning with AI, Deep Learning, Machine Learning.

Month by month I see more initiatives adopting this technology in real life applications, but still there is too much expectation and myth about the real value of AI.

Fore sure once AI will combine blockchain, autonomous driving and a kind of physical internet. This will be a major break-through in the transportation industry, but even for me still a kind of Star Wars Episode 42 … so still a while to go for us.

There is already now AI value, like a Japanese insurance company expects to reduce 30% of work by an AI system, however the same value can be easily created by organizational transformation in corporates. Why are there still 6-7 management levels between the final decision maker and the place where a decision is needed?

Reducing these unnecessary levels or replacing them by a fact-based AI driven decision support engine or even better a kind of CxO-Machine at hand when and where a decision is needed … based on an ambidextrous architecture with efficiency model characteristics, by nature an expert model, a connected effectiveness model and a self-fulfilling innovation model and everything combined in one advisor without any middle-management layer … once in place I am looking forward again to join a corporation.

Theory of Everything

Those use cases, which bring more then one topic from Gartner’s technology hype cycle together will be disrupting and worth to invest, will for sure not need an ICO. Those new things will have AI everywhere, using Augmented or Virtual Reality and plumbed into a digital platform.

Recap Meetup – Vertical Integration



I had the honor to talk about vertical integration of emerging technologies. Here a quote from the meet up blog:

“The last talk of the night came from Anyline’s own Andreas Greilhuber. Andreas gave an insightful presentation that considered how large companies can pass on value to their users with emerging technologies such as VR, AI or mobile OCR.

AI was at the heart of the presentation with Andreas giving examples of how the application of this technology has changed since the mid 90s. He highlighted how the use of data has changed how AI is integrated into our lives and how it will be integrated in the future. He even came close to giving predictions for how AI will change things as a whole!

Of course, the highlight of his talk was a great recap of how AI and other emerging technologies such as mobile OCR are changing user experience at the moment. Andreas also did a great job of answering questions from the meetup crowd on how Anyline is working to enhance vertical integration of our mobile OCR technology.”