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.

The Sun rolls out loyalty programme powered by anyline 

According to thedrum.com The Sun has rolled out a loyalty reward programme, Sun Savers, intended to both reward loyal print readers with a cash back scheme while extracting data about the traditionally anonymous audience in order to build out a more cohesive data set.

To become part of the Savers programme, readers are guided to collect 28 codes by scanning the paper on the Sun Savers app, or filling in a code on the Savers website, in order to get cash back.

Following this link on youtube you will find the ad.

The scanning solution for this program is based on anyline.io mobileOCR solution. After having proven solutions for Consumer Goods, Utilities, Postal Services, Banking, Insurance, Public Sector, Boarder Control, Taxation … anyline has demonstrated its capabilities in a new industry Media & Entertainment.

From Digital Officer to Chief AI Officer

The region around Linz shall become THE artificial intelligence hub – Sepp Hochreiter will found an AI Lab supported by public funds. Public funds are good, however companies have to develop their own artificial intelligence strategy and agenda according to Andrew Ng, professor at Stanford and former machine learning chief of baidu.

In his view, businesses are best off hiring a leader with deep knowledge of the field of artificial intelligence who can help build up an organization’s knowledge and capabilities in a centralized way. The chief AI officer will bring expertise of this field to the rest of the company.

In the moment I see some initiatives to develop these capabilities within organizations in Austria (e.g. in Banking), however a real top down strategy I am missing. We see an AI Lab here, an innovation centre there – nearly around every corner an incubator – but an executable strategy is lacking.

Ng is stating „I think that in eras that technology is immature — and I think that AI technology is immature, it’s evolving and changing all the time — it’s very difficult to sprinkle AI knowledge throughout your entire organization”.

But early adopting is always possible and would give a real advantage in the market and our position in the world.

In technology and especially in software engineering we are used to the issue that our knowledge is obsolete every 10 years (or even faster) and most of software engineers are aware that they  now have to learn artificial intelligence technologies (applying IBM Watson, using Google’s tensorflow).

We have two levers to apply, force a life-long learning attitude at the bottom and establish the leadership to make organizations ready for the new era of computing.

I can recommend an interview of Andrew Ng for further reading with Harvard Business Review.

Vertical Integrated Artificial Intelligence Solutions

Bradford Cross in www.bradfordcross.com calls AI a ‚side car‘ and explains  … AI is not the core value, but an attachment that optimizes the core value ….

Machine-Learning or Deep Learning by itself are mathematic and statistic models, implemented with the right information technology it’s a pure academic exercise. Having the right domain knowledge applied and in the right customer and consumer context integrated is the sweet spot where every Artificial Intelligence Start-Up shall head to.

anyline.io found it’s way by adding AI power to mysugr.com reading the 7-digits-displays of blood sugar devices. Or by reading the electric meter displays (or water or heat or gas meters), the value is created in the hand of field force or the consumer – increasing the data quality consequently reducing disputes about consumed energy or by managing churn in a liberated energy market.

Artificial Intelligence is only of value – with a full-stack and fully integrated solution. Designing the right solution requires subject matter expertise and industry know-how – either within your teams or in a co-creation approach with your customers. Than right models are developed and only than a start-up can succeed and defend its unique position.

Same is true for blockchain … but this is a probably a topic for my next blog.

Artificial Intelligence and ComputerVision in Austria

We have  lively activities around artificial intelligence and computer vision in Austria.

On Shivon Zilis’ machine Intelligence overview shivonzilis.com we have an interesting Austrian company cortical.io on. Shivon is partner at bloombergbeta.com focusing on artificial intelligence start-ups. I visited this company in Mariahilferstrasse near-by the Museumsquartier. Their approach  brings the semantic NLP on a new level and for sure of interest for IBM, Google, Microsoft, Amazon.

cortical.io developed a new machine learning approach inspired by the latest findings on the way the brain processes information. Semantic Folding proposes a statistics-free processing model that uses similarity as a foundation for intelligence. It breaks with traditional methods based on pure word count statistics or linguistic rule engines.

With the announcement of the US-based clarifai.com  of an „On-device machine learning puts AI in the palm of your hand, online or offline“ we see that the Austrian anyline.io is on the right track with their SDK. They are with their neural network based mobileOCR SDK already on the market.

Clarifai is T’HE artificial intelligence company that excels in visual recognition, solving real-world problems for businesses and developers alike. Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. Clarifai’s powerful image and video recognition technology is built on the most advanced machine learning systems and made easily accessible by a clean API, empowering developers all over the world to build a new generation of intelligent applications.

The innovative AI technology itself is never the value driver, the vertical integration of new AI capabilities are. It’s fine that we can identify celebrities on pictures. Much more important is that a diabetes patient is capable to read with the mobile the blood sugar level and transfer it on platforms like mysugr.com.

This platform was recently acquired by Roche. More than one million patient are convinced that mysugr.com will relieve that „diabetes sucks“. Or in design thinking , the experience of the patient is driven by a desire for this solution, the technology (powered by anyline.io ) is proven and viable and all together makes it feasible for Roche to acquire mysugr.com and its patient data.

The utilities industry specific solution of anyline with its meter reading – applicable for self-service, turnus reading or for documentation purposes during the smart meter roll-out – is another example which solves a pain of the industry and every energy consumer.

For those who are interested in latest topics on artificial intelligence I recommend the AI Summit Vienna on September 4 at the WU Vienna.