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 Anyline.com 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.

enlite.ai – The Austrian AI Landscape

I have to congratulate the guys from enlite.ai 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 anyline.com 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 anyline.com to some interested people. I shared a look behind the scenes. The people visited Vienna as part of an innovation journey organized by pro-active.at.


We from anyline.com 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 d.school 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.”

Review AI Summit Vienna 2017

anyline was happy being at the AI Summit at the WU Vienna organized by mostly.ai . We had a chance to present our convolutional neural network based on Google Tensor Flow implemented Computer Vision Software Development Kit and its applications like blood sugar measurement device reading, meter reading, license plate reading, passport reading and loyalty code reading … mobileOCR at its best.

The products are capable to unleash vertical integrated mobile solutions for Health, Utilities, Police, Border Control, Banks, Insurance, digital agencies, consumer packaged goods, …

The line-up of the AI Summit event was really impressive and similar to what I saw a couple of days later in Tel Aviv at the DLD. From Google Dave Elliot joined.

From Facebook Tomas Nikolov presented interesting things about word2vec.

Of course a local AI mastermind Sepp Hochreiter from JKU in Linz spoke to the crowd.

Zalando sent his Chief Data Scientist Calvin Seward.

From Finland Ulla Krudes Lehtonen.

I left early and headed to DLD in Tel Aviv, I am happy that mostly.ai released now the videos of this event.

Blockchain – Stop Talking, Start Doing


I do not want to compare actual cryptocurrency hype and bubble with the tulip mania in the 17th century, when the whole market collapsed in February 1637 – but I am wondering when the blockchain bubble will explode and we can focus on the real advantages of this technology.

Anyline’s technology focusing on mobileOCR is faster pulled into the blockchain hype than I would have expected.

The more ideas like physical internet, provenience, interoperability, privacy, document management, tracking, certification and last but not least identification is increasing. The need for trust deeper within the supply chain is raising. Once you have identified a trustworthy object, you can augment the reality around this object with information from its digital twin.

Therefore anyline’s mobileOCR is evolving into the Eye of the Blockchain feature when a physical object is passing by.

Even worse is the ICO rush – initial coin offering – or kick-starter on steroid as I call it. Being an IPO without any regulations and governance. 30mUSD in 30 Seconds fund raising or in the case of tenx roughly 80m. At least tenx has a product, a credit card where you can spend your coins in the real world and an implemented protocol comit to interlock with various cryptocurrencies like Bitcoin, Ethereum or Ripple.

We are bothered with these emerging technologies adopting fast into real world physical supply chains. In August – same procedure like every year – we are expecting the Gartner’s Emerging Technologies Hype Cycle. This year blockchain is already over the hill of over-estimated short-term expectations, however long-term blockchain will have an enormous transformational impact on our society. I am not such a strong believer in the cryptocurrencies, but the technology itself solves problems we were struggling over the last 3 to 4 decades.

Blockchain gives you suddenly something to manage values, which can be publicly shared, is de-centralized, secure, trusted and automated. Fast moving and innovative organizations are pulling our scanning solution into the area of provenience of scanned objects. So we have faster to adopt capabilities to understand, build and run blockchain architectures based on Ethereum or Hyperledger.

Since two years we can find start-ups in the area of cloud storage, smart contract, anti-counterfeiting, governance, digital identity, internet of things and market prediction building on blockchain architectures. In 2016 big players like IBM or Microsoft see a chance to utilize their cloud infrastructure with blockchain technology and applications to tackle the competition from Google and Amazon.

By establishing industry consortiums IBM with food industry or re-insurance industry,  the Farm2Fork process shall be made fully traceable to mitigate impact like the Fipronil scandal. Everledger building on hyper ledger is tracking and tracing Diamonds.The odometer fraud will be avoided by blockchain solutions from Bosch and German TÜV.

Just a couple of examples a I collected. An enormous business opportunity ahead for all of us.

Tel Aviv is like San Francisco’s Gold Rush

Last week I had my first trip to Tel Aviv. For those guys who really would like to understand how the gold rush felt in 1849 I recommend such a trip to Tel Aviv – there is for sure a Bonanza but there are many Desperados at the same time.

I was there in my advisor role for I4X and together with our Country Manager Yuval Harari we meet a couple of Start-Ups. After Europe is facing the issue with eggs and the blockchain efforts of IBM for food safety with major agricultural wholesaler and retailer – we were focusing on start-ups in Israel doing innovative stuff for agriculture.

Start-Ups in Agriculture

The story telling first! If you can cultivate the desert, you can succeed everywhere. The technological bits and pieces are already there. The main focus they are having now is … simply connect the data (weather, IoT from the field, ERP, QS) already available, add a spoon of artificial intelligence (meaning data science, machine learning, deep learning) and urgently find the right partner with the right domain knowledge for potatoes, tomatoes, grapes or whatever you are interested in to improve the quality of the fruits or keep the quality at least transparent across the supply chain.

Deep Learning Meet-Up

I was really impressed about one part of the DLD Tel Aviv conference – the Samsung AI Next Hall. The work I saw about Natural Language Processing and listened to the actual insights in deep learning, was awesome. I gained more insight what Deepmind is publishing and presented in a way how you can follow and understand the latest neuronal network architectures. With the same conclusion – it’s the data and its curation what counts, the rest will be commoditized and Moore’s law will help to make it cheap.

Politics in Tel Aviv

Another highlight was a fireside chat with Aharon Aharon (sic!) and Yossi Vardi. Very interesting how Israel Government is spending their funds across the eco-system – their point of view how to leverage more the diverse population. Motivate more Women and more Arabs to join the technology eco-system. Both groups are under-represented while on the other hand people and talent are missing. A second key to success is to accelerate the start-ups, it’s not only about R&D and the needed MINT people. Once the start-ups are evolving they need a CFO, Marketing, HR and a lot of other functions. And for those you do not need MINT.


The Head Innovation at UNICEF presented a very interesting initiative in Malawi. UNICEF and Malawi government and a couple of universities opened a Drone test corridor in Malawi. To this corridor everybody is invited to test drone applications and solutions.

Autonomous Driving

The topic around mobility is key for Israel as well. Since 10 years General Motors is represented in Israel, Porsche Consulting represented and Daimler moved there recently. This will be THE moonshot for Germany with their 850000 people working in the automotive industry, having on the one hand Mr Musk disrupting the ‚Antriebsstrang‘ on the other hand there will be in near future no drivers, so no longer emotions linked to their products, no buyers, no insurance necessary, traffic lights obsolete, parking space, obsolete, no petroleum downstream, … what else is related to the car?

Networking Platforms like SOSA

Furthermore we visited SOSA – a platform founded by 25 investors from Israel. It needed 5 minutes to be connected with an Australian company to identify a need which anyline.io can solve.

Tu Felix Austria Invest


Silicon Austria Initiative in Vienna, Linz, Graz and Villach
More than 280 mEUR were allocated for R&D Centers in Vienna, Linz and Villach for their Electronics Cluster.

Complexity Science Hub in Vienna
The objective of the hub – around Stefan Thurner – is to host, educate, and inspire complex systems scientists who are dedicated to collect, handle, aggregate, and make sense of big data in ways that are directly valuable for science and society.  Focus areas include smart cities, innovation dynamics, medical, social, ecological, and economic systems. CSH is a joint initiative of AIT, IIASA, Medical University of Vienna, TU Graz, TU Wien, and Vienna University of Economics and Business.

Artificial Intelligence Labs in Linz
Upper Austria allocated 12 mEUR to establish an artificial intelligence hub at Johannes Kepler University in Linz around Sepp Hochreiter, Mr LSTM´.

Vienna Contribution to CRISPR-Cas9
The European Patent Office has announced its intention to grant a broad patent for the revolutionary CRISPR-Cas9 gene-editing technology to the University of California, the University of Vienna and Emmanuelle Charpentier.

Wexelerate in Vienna
weXelerate is a startup & innovation hub with a unique and thriving ecosystem of open innovation on nearly 9000 sqm that aims to connect startups and established corporates.

What is the next Big Thing from Autocluster in Styria?


Why are we not leveraging the Physics in Innsbruck more?
Would be great having a quantum computer there, like IBM’s Zurich Laboratory has made its five-bit quantum computer available to researchers through a cloud service.

And the Austrian Institute for Technology (AIT) is Austria’s largest Research and Technology Organization (RTO) and belong to the first league worldwide in many of their areas of research, but I am not aware about a famous spin-off or start-up coming from this investment.