Your personal AI for efficient and fast industrial inspection: ATLAS, drone, and desert bush counting

Your personal AI for efficient and fast industrial inspection: ATLAS, drone, and desert bush counting

Any industrial inspection solves three main tasks: data collection (photos of objects), analysis (identifying defects and abnormalities), and reporting. Today, Pavel Tatarintsev will talk about ATLAS – image analysis and automatic reporting system that covers the most labor-intensive industrial inspection tasks.

Article by Pavel Tatarintsev, NNTC R&D Head
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Naturally, ATLAS is not the first solution on the market that analyzes photos and automates reporting, but its unique easily trainable AI module makes it a truly handy and unparalleled tool.

How I taught ATLAS to find bushes in the desert

I will describe the module operation using my own user experience as an example. One weekend, I decided to go to the desert and, just for fun, teach my ATLAS to recognize bushes. It was an easy, interesting, and clear process. I used a standard laptop with installed UgCS and ATLAS software, as well as a 400g DJI Mavic Air drone with a built-in wide-angle camera. This is a small, quite popular and affordable drone.

First, an engineer needs to draw a route for a drone in UgCS (below is the screenshot of my drone’s route). I set the frequency of taking photos and the following parameters. It took my drone 15 minutes to fly around three hectares.

drone industrial inspection

As a result, I got approximately 100 photos for analysis.

industrial inspection

I uploaded the photos to ATLAS, which, in 5 minutes, created an area map with the relief. As I wanted ATLAS to learn how to find bushes, I then used a marker to outline the bushes on some 20-30 photos and launched a search by photos.

In 20 minutes (including AI training and photo search), I got my result. The program managed to count not only the number of bushes, but also (if needed) the total area covered by them. Indeed, you can set any parameters and reporting targets for this flexible and intelligent solution.

ATLAS

It is efficient, isn’t it? I believe very much so. Now imagine that the solution can find not only bushes, but also cracks on roads, rust on metal structures (for example, rusty spots on ships), oil spills, and any other things or flaws that the built-in AI can learn.

Is it easy to teach ATLAS AI for drone industrial inspection? Depends on what you want it to learn. When it comes to rusty spots on the pipe surface, all it takes is just a few photos with outlined spot examples. But if you need AI to find a green car in the green leaves, it’s more challenging and the system will need more examples for training.

ATLAS and industrial inspection tasks

Let me tell you the story of one of our customers (without mentioning its name). Our customer bought a ‘fixed-wing’ drone (a plane-like model that can fly continuously over long distances, collecting necessary data) and had a camera installed on it to shoot the sea surface. The drone flew and brought back 12,000 photos to be analyzed for oil spills. Just imagine how long it would take to manually analyze and document all these photos. Plus, oil film is often very difficult for the human eye to see on the waves. Nevertheless, the customer successfully addressed the challenge opting for ATLAS that was taught by an engineer to promptly find oil spills on photos.

oil spill industrial inspection

This solution is also used to fly around and inspect the condition of oil pipes and production facilities, survey vegetation, as well as scan object surfaces, soil, and asphalt. The solution can be easily applied virtually in any sector and for any task. You can even set it the task to not only looking for defects but also rank them by hazard.

This is how artificial intelligence facilitates inspections and ensures control over the safety of both facilities and the environment. All you need to do is ‘explain’ ATLAS what task you want it to solve.

If you have any questions about drone industrial inspection, please go to the solution page on our website, subscribe to my blog, or message me on LinkedIn.

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Smart technologies make a healthy building

The COVID-19 pandemic provoked a global crisis on an unprecedented scale. The key problem was that both the virus and its transmission routes were understudied and therefore adequate protection measures were unclear. This resulted in amendments to safety policies and procedures used in modern office, administrative, and retail buildings.

Now, building owners and tenants are trying to find new solutions for workplace safety and health. How to keep a fine balance between the desired comfort and demanded safety?

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What is a Digital Twin?

Digital Twin is one of the most exciting business optimization solutions. An exact copy of any building or territory is a set of data, which can be analyzed in real-time. Business processes can be predicted with this solution: from equipment depreciation to the production cycle operations. Read more in our today’s infographic.

Digital Twin integration results:

  • See the best combination of cost of operations\min number of cranes or trucks\min required time
  • Digital Twin improves the efficiency of operations
  • Predicting work completion time, operating hours, downtime
  • Forecasting the machinery utilization, which allows the most efficient movements without queues
  • Assessment of the influence of factors on the machinery downtime, number of accidents, optimal routes, movements of railway/auto trains, distribution of works between cranes
  • Reducing cost for the equipment maintenance
  • Increasing business transparency and manageability

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Future of Facial Recognition in the UAE

the-future-of-face-recognition

“The UAE Cabinet has announced a decision to allow use of facial recognition in certain sectors”, and this is big news for technology locally and globally. Where do we go and what’s coming? Dmitry Doshaniy, NNTC General Manager, shares his predictions and perspective on this exciting news in an interview below.

Article by Dmitry Doshaniy, NNTC General Manager
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It’s 2021 when the UAE has approved facial recognition. Why now?

Many government and private organizations have more or less got started adopting facial recognition for security reasons or routine operations. Individual users of certain devices or services know this technology well, for example, for unlocking most of iPhones. Many banks are introducing biometric authentication to improve both client experience and transactions security.

Facial recognition has become global, so one more app or solution on the market doesn’t impress anybody. The market has matured and is now ready to adopt this technology and create more space for it at the state level. Facial recognition has proven to be a reliable and practical tool that is now starting to move into the mainstream.

Another explanation for such a decision is, I think, the fact that both business and public services still have to be provided remotely. COVID-19 is a compelling reason for governments to work harder towards less crowded places and better public health situation. Of course, some procedures are available online, but many services require authentication due to personal data security matters.

How can one know that a particular facial recognition offering on the UAE market is mature?

There is a bunch of tests showing strong performance of the latest algorithms with up to 99.97% facial recognition accuracy. False recognition is next to impossible if an image of a person is of normal quality. There can be some trouble if comparing photos of one person at different ages (for example, with a ten-year gap between them), but it is not critical as well. Anyway, facial recognition outperforms an average desk clerk. This means that video analytics puts an end to scammers successfully faking their identity to get a loan and lying to clueless clerks how not having much sleep last night makes them look wildly different from the photo. Imagine a scammer trying to play that trick with a video camera – hilarious!

facial recognition

The Internet used to have a bad reputation for massive account hacks and identity theft in the past. Is it possible that future hackers will somehow lay their hands on facial recognition data to make a plastic surgery and break into all user accounts?

Facial recognition systems do not store any information that can be used for plastic surgery or making a realistic 3D-printed mask. In most cases, flat images or photos are processed into a number format, and the underlying algorithm doesn’t allow reconstruction of the source 2D image. The information conversion process is tricky. Just as you can’t use hashes to reverse engineer the hashed source data, a numeric form of a recognized face in a database is incomprehensible – you can’t even guess the appearance.

Suppose, someone manages to steal a facial recognition database, but translating and exploiting the content is impossible. You can’t come up to a stranger, take a picture and stay unnoticed, and then make a super-realistic mask out of that photo. Moreover, your identity is secured by your biometric data – voice, fingerprint, and eye retina; scammers have zero chance of success. The best practice is to use several identity indicators in a biometric authentication system. Diversity makes a perfect security system.

In your opinion, how long will the implementation of facial recognition take at the state level in the UAE?

This reminds me of a joke, that goes like: “Who is the driver of your digital transformation: CEO, CIO or COVID-19?” Some parts of human life have experienced change that could have been extended over decades, but instead it either happened in months or is planned to happen in the next year or two. Everything related to remote work, services, and authentication will be implemented really fast.

We witness some global experience already as other countries are working on legal framework to deploy and regulate facial recognition and video analytics. This experience can be adopted and customized locally. Face-initiated payments, travel by public transport, and overall routine surveillance are an everyday practice in China. Integration like this brings great benefits to citizens and the state by improving people’s safety and comfort.

People usually prescribe a number of gloomy properties to face recognition, including recalling “Big Brother”. However, many countries have developed regulations to control facial recognition use, and this experience can be enriched and adopted. I’m 100% sure, that the UAE has the brightest future using this wonderful technology.

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4IR. How to exploit the Fourth Industrial Revolution

4IR

The majority of business leaders (63%) surveyed by PwC claimed that technologies of the Fourth Industrial Revolution (4IR) provide protection against an economic downturn. But how to find your way around this strange and seemingly unmanageable concept? Be brave, and I’ll show you a way in this blog!

What is 4IR?

4IR became a hot topic a few years back when the world realized how technologies impact everyday life and innovations skyrocketed, giving an optimistic view of the future coexistence of humans and machines.

4IR

The Fourth Industrial Revolution is building on the Third, the digital revolution that has been occurring since the middle of the last century. It is characterized by a fusion of technologies that is blurring the lines between the physical, digital, and biological spheres.

said Klaus Schwab, Founder and Executive Chairman, World Economic Forum.

The main idea is that technologies do not replace, but rather gradually complement, humans, becoming a new “tool” in the hands of business. At the moment, businesses need to prepare for 4IR to survive amid the post-pandemic crisis. What’s more, companies that can keep up with the times and gain necessary skills in advance will win the race by leveraging the new tools.

4IR for business survival

Companies successfully deploying 4IR technologies now may actually emerge as stronger competitors during a recovery, and will likely be better prepared for a potential economic downturn in the future. 4IR benefits are evident: increased productivity, efficiency and quality of processes, as well as better staff safety, data-driven decision-making, and increased competitiveness thanks to developing customized products.

According to a recent PwC survey of CFOs, while the COVID-19 crisis has led 70% of companies to cut back or defer planned investments, just 22% said their companies are curbing investments in digital transformation. What does digital transformation actually entail?

Digital transformation means preparing an organization for 4IR solutions and then systematically adopting them in the most optimal way to minimize business risks. In fact, it is an organization-specific process which should be supervised by digital transformation specialists. This very approach will help you harness and exploit 4IR.

Stages of digital transformation:

  • Technology digitalization. Create advanced digital infrastructures and RPA-based systems to collect data and control processes.
  • Production digitalization. This stage requires the creation of a digital platform to collect, store, and process data, use some analytics tools (machine learning, digital twins), and engage production planning and management systems using the same models and data from the digital platform.
  • Digital services and apps. They are created on top of the rest to improve efficiency and performance. Data analytics tools allow for prompt and, ideally, automatic adjustment of production and technological processes, thus eventually raising product quality, reducing its cost, and improving other parameters.

How to start adopting 4IR?

As I already mentioned, each organization goes its own way here; however, there is a standard 4IR checklist.

Process automation. Whether at manufacturing facilities or in the office, process automation is one of the key success factors on the path to 4IR adoption. Process automation may include: RPA-based filling out of documentation, automated Big Data collection for subsequent analysis, automation of routine processes and procedures using artificial intelligence, video analytics, and IoT.

Big Data. All business processes are based on analytics. Indeed, data analytics helps determine a business development vector, predict critical situations, and optimize processes. A full-fledged data collection is only possible when information comes from all business process participants, from the production to the sales office or store.

Vision Zero and concern for people. Another pillar of the 4IR approach is personnel safety and care. Manufacturing enterprises adopt Vision Zero, which significantly improves occupational safety. Thus, VR drills fully immerse personnel in any possible scenarios to train them in dealing with emergencies without any risk, while Digital Worker solutions warn in advance about on-site hazards. There are also solutions to ensure office personnel safety and comfort. For example, BIM tools help adjust environmental conditions in the office, while contactless solutions prevent the spread of infections.

Business optimization. As a rule, the transition to 4IR goes along with certain internal restructuring and business optimization, which is unavoidable after adopting better and more cost-effective solutions that free up specialists time. As a result, companies can spur strategic development and planning or strengthen previously understaffed business units.

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Technology boost for oil & gas

oil and gas

Falling demand and COVID-19 restrictions challenged the world economy in 2020, with the oil and gas industry being no exception. Expectations from 2021 are divided and it’s a tie score, generally speaking, as the tables can turn overnight. With this in mind, leading global oil and gas companies rather enthusiastically invest in technologies enabling faster response to fluctuant market and geopolitical situation.

AI-based production

Don’t know where to look first? For starters, it is worth to consider AI- and ML-based solutions – decision-making accelerators and best response advisers. Relying on qualitative KPIs, instead of quantitative ones, you increase oil production efficiency and profitability. Making much headway, AI can support business on many sides: security, profitability, production compliance control; even oil extraction can go faster.

Among other things, you can integrate AI-based solutions into logistics operations, since this technology has learned to detect oil spills at night as good as in daylight, being able to catch the sight of oil slick’s thermal image and reflected polarized light.

Learn how polarization technology helps rapidly recognize and identify oil spills with outstanding accuracy

Technology boost with lower production costs

Production costs reduction is also firmly on the agenda of oil extraction. IT can help automate multiple business processes and efficiently support productive capacity uptime with minimum human involvement.

For example, solutions to run diagnostics and avoid expensive equipment downtime. Some technologies even reduce the time it takes to gather information on equipment health, such as digital twins or drone-based industrial inspections. Let’s take an inspection of a huge oil pipe as an example. To inspect this monster, you need to build scaffolding first. To accomplish that, you need to stop pipe’s work, erect scaffolding against it, and only then people will use it for two weeks looking for some defects: peeled paint, rust or a missing piece of the build. Each inspection engineer has to document every detail of the detected defect. However, using industrial inspection drones with special software and machine learning algorithms, you will reduce costs by 5-10 times, with only one person and one drone being needed to involve.

Digital Enterprise – VR Project

Or let’s take a look at the Digital Factory concept. It describes an enterprise that leverages IT in its every aspect: automated manufacturing, optimized business processes, services, and product promotion. The concept implies a single information environment turning hectic data from multiple sources into a structured data-driven representation of the enterprise. Decisions of a company like this are guided by complete and constantly updated information.

Oil & gas industry and remote work

The reality surprised the industry with transition of many non-production employees to remote work. However, this move helped develop communication networks and solutions for collaboration.

Remote work requires the automation of standard operational tasks. A corporate bot can perform hundreds of recurring and routine tasks instead of an employee, automating the execution of standard documents, certificate approval, etc. The bot is also a universal tool that can call 200 employees per minute and obtain any necessary information. Here is one of our case studies: in the morning, the bot collects staff work plans for a day or a week, and in the evening, it receives interesting insights or identifies why tasks were not completed. The voice bot collects and transcribes all information, then draws up a unified report and submits it to a manager, with a report summary also being sent to group chats in messengers. This way, managers always keep track of the events in their departments and monitor all tasks being performed, while saving personnel time otherwise spent on preparing routine reports.

technology boost

Second example of such solution is a Remote Employees Control Assistant (RECA). It is an integrated system, which helps to ensure control over business processes, analyze staff activities, generate workflow reports and keep in touch with remote employees. It shows a detailed picture of each employee activities and prevents confidential information leaks.Gradual transformation of oil & gas production

Now is the most favorable time to benefit from investments in information technology. All it takes is a wise choice of implementation strategy and tactics, and relevant experts can help you make better choices to maximize the effect of your overall digital transformation.

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What 2020 has taught us? NNTC’s focuses and strategies for 2021

2021

Dmitry Doshaniy, NNTC General Manager, summarized 2020’s results and determined development strategy for the next year. What 2020 has taught us and what strategy to follow in 2021? In today’s blog, we will share the main insights from Dmitry’s interview.

Article by Dmitry Doshaniy, NNTC General Manager
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2020’s online survival is 2021’s new normal

Online communication services, messengers, and platforms have won extra audience as a result of self-isolation and business events going online, which is the case for both B2C and B2B sectors. For example, we at NNTC also felt the need to enhance online communication with our audience. Thus, we held webinars for customers and partners, which was a great and rewarding experience for our team.

After 2020, it’s even easier for tech companies to sell online. If, for example, you sell software a customer doesn’t need to “touch and feel”, all you need to do is provide a demo version or deliver an online presentation, and then close the deal through Zoom. This was not possible before and has only recently turned into a common business practice, and we believe these changes also bring us business development opportunities. The fact that online business meetings have become a new normal can unlock new development opportunities and boost our geographic expansion.

Technology is a lifesaver – and 2020 has proved it

During the lockdown, society has become more technologically advanced. Even the most stagnant skeptics appreciated the importance of technology and learned how to use its benefits. This interest will continue after people return to the offices. We are happy with that, since NNTC sells its solutions to people who are not afraid of technology and strive to use it for good.

In addition, we will see growing investments in healthcare and infectious disease control solutions, both organizational and technological. Indeed, this year, Apple and Google have developed an API to track contacts with virus carriers. NNTC also already offers a solution for manufacturing and construction sites that detects social distancing violations and helps identify contacts with infected people, so that affected personnel can be promptly sent to quarantine and receive medical treatment. Indeed, technologies save people’s lives.

Make decisions wisely in 2021

2020 has been a good year to cultivate morale and find new ideas and approaches for business development. Moreover, our specialists had such a good practice in implementing ideas that they have reached a brand-new level of product development speed.

Now, it is time to adopt a more balanced and less opportunistic business approach. The year 2020 has shown that we need to carefully calculate and consider response time in advance. When a demand arises for a certain type of development, the temptation is to meet this demand as soon as possible using R&D resources. However, we need to look beyond and carefully consider the next steps to avoid wasting precious time and resources in pursuit of such demand. We need to be preparing for the post-crisis time right now and think long-term rather than short-term. We are actively reviewing our solution portfolios taking into account the company activities completed in 2020. From now on, our strategy involves fewer products and more active product development.

I try to be optimistic and believe that the next year will be better than 2020. Also, in 2021 we’ll face a very intense deferred demand, as after any crisis. After the pandemic, people will be even more eager to live better life, traveling, meeting with peers shopping, and completing professional projects.

2021

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“It’s alive!” Merging IT with manufacturing to give birth to the digital factory

Digital transformation

Today’s business leaders have a greater awareness of the need for all-in digitalization and industrial safety solutions. Moreover, experts have no doubts that long-established industries, such as oil and gas, mining, metallurgy, and metal working, can experience a significant performance boost only through engaging information technologies. So how is it going? Well, let me use classical literature to explain.

Alexander Belyaev

Article by Alexander Belyaev
NNTC Technical Director
LinkedIn | Mail

Do you remember the notorious Frankenstein’s monster?

He was a sophisticated work of science and engineering meant to be a fully functional human ability to comprehend, think, move, and talk. Modern manufacturing is the same: it’s built from vital parts, which consistently solve given tasks. However, making a separate part digitally driven is the same as trying to bring only one limb – let’s say, a hand – of Frankenstein’s monster to life What’s the point if the rest doesn’t function?

Intelligent digitalization works like the lightning discharge that raised Frankenstein’s creature from the dead and started quite a thrilling story. You would even find yourself throwing hands up in the air and screaming “It’s alive! It’s alive!”, if you transformed an entire enterprise in an insightful way into a single information environment with correct data collection. So, this will be the main focus of today’s post, where I will also talk about how to coordinate transformation stages.

Make it digital

Information technologies keep penetrating into all business processes and directly impact workforce productivity. Bridging the gap between IT and business expertise results into synergy and provides business with solutions to digitalize multiple production processes.

For example, solutions to run diagnostics and avoid expensive equipment downtime. Some technologies even reduce the time it takes to gather information on equipment health, such as digital twins or drone-based industrial inspections. Environmental monitoring matters as well, so we can find solutions that forecast unplanned emissions, thus allowing us to minimize them and use the data as evidence in disputes with supervisory authorities.

And what if all these tasks could be solved comprehensively? What if we could put all technological achievements together, season it with new e-services, and build a unique environment, a digital ecosystem? Ladies and gentlemen, I proudly present the digital factory concept.

Digital factory vs. digital twin

Digital twin is a replica of a certain process, a digital model of a physical asset, process, or technology. Companies can have digital twins of numerous things: wind turbines, wells and deposits, or production lines. The digital twin provides both design details and the dynamics of how something operates, thus allowing to anticipate its wear and tear and optimize operation. Despite everything, these are small replicas of certain parts that can’t make business truly digital.

Digital twin
A digital twin of a factory

Digital factory is a wider concept. It describes an enterprise that leverages IT in its every aspect: automated manufacturing, optimized business processes, services, and product promotion. The concept implies a single information environment turning hectic data from multiple sources into a structured data-driven representation of the enterprise. Decisions of a company like this are guided by complete and constantly updated information.

Digital worker: industrial safety solution and business value for the digital factory

Industrial enterprises are overwhelmed with information. Let me tell you about Digital Worker IoT platform for industrial safety, one of our solutions, to illustrate. This platform integrates global and local positioning, video surveillance, video analytics, access control and management, and pre-shift examination systems, as well as smart devices. Integrated systems enable you to detect threats or HSE and occupational safety violators in real time; for example, those who misuse personal protective equipment (PPE). An event log keeps all records of hazardous situations.

Digital factory

The solution logs information about tens of thousands of actions and each can be analyzed to make forecasts. For example, a recurring error allows you to conclude that personnel should take additional training to master certain skills. It would be useful to share such information with HR department. And this is just analytics from one solution designed to ensure occupational safety. Business and production data flows can be combined to bring transparency in every single enterprise production process at all levels. Digital factory is an enterprise that seizes every IT opportunity.

Step-by-step digital transformation guide for enterprise

  • Step #1. Technology digitalization. Create advanced digital infrastructures and RPA-based systems to collect data and control both equipment and technological processes. It should be noted that already at this stage enterprise performance goes through the roof, although big changes are yet on their way. Our occupational safety services, particularly the above Digital Worker, are well-tuned and implemented in some real manufacturing facilities.
  • Step #2. Production digitalization. This stage requires the creation of a digital platform to collect, store, and process data, use some analytics tools (machine learning, digital twins), and engage production planning and management systems using the same models and data from the digital platform. Production meets technology here to give you a clear vision of technological processes and equipment health to manage business. A good example here is using RFID tags to label product components.
  • Stage #3 (Final). Digital services and apps are to be created on top of the rest to improve efficiency and performance. Data analytics tools allow for prompt and, ideally, automatic adjustment of production and technological processes, thus eventually raising product quality, reducing its cost, and improving other parameters (e.g. efficiency improvement services using digital prototypes or digital twins).

As for digital transformation project for a particular customer, it’s always a client-centric story since every project focuses on each company’s individual strategy to the maximum possible extent. A customer sets the goal, and our task is to help achieve it using digital tools. We unlock the full potential for automation and digitalization and advise the customer on the most economically beneficial technologies. The most important thing in our work is to ensure synergy so that each newly implemented service multiplies the business effect.

How do you know that enterprise has become a digital factory?

A unified information environment is a game-changer you won’t miss. According to different estimates, today, some 80% of decision-making time is spent on collecting and verifying data. Unified environment will optimize all this and dramatically accelerate decision-making.

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Market expert view on the best VR headsets for manufacturing challenges

Today we have prepared for you a visualization of analytics from market experts about VR headsets comparison. Which VR hardware is best for your needs? The infographics will clearly describe the strengths and weaknesses of the different helmets, so make sure to spot an ideal helmet for VR safety training.

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