ISS Art, LLC
About ISS Art, LLC
Since 2003, ISS Art helps the world’s top companies to turn their dreams into reality.
You don't have to go elsewhere - we deliver turnkey services including system and business analysis, UI/UX design, programming, project management and quality assurance.
Our expertise in computer science, mathematical analysis, and machine learning makes even the most complicated tasks feasible.
Main focus:
✔ Web & Mobile apps development
✔ Machine learning - object detection and recognition, classification, clustering, forecasting
✔ Data Science - understanding the data and underlying processes, insights extraction
✔ Data wareh...Read more
Since 2003, ISS Art helps the world’s top companies to turn their dreams into reality.
You don't have to go elsewhere - we deliver turnkey services including system and business analysis, UI/UX design, programming, project management and quality assurance.
Our expertise in computer science, mathematical analysis, and machine learning makes even the most complicated tasks feasible.
Main focus:
✔ Web & Mobile apps development
✔ Machine learning - object detection and recognition, classification, clustering, forecasting
✔ Data Science - understanding the data and underlying processes, insights extraction
✔ Data warehouse and Big Data - data warehouse design, ETL, complex reporting based on data
✔ Computer Vision - object detection and recognition, pattern recognition, optical character recognition
✔ Natural Language Processing & Text Analysis - chat-bots, text parsing and information extraction, full-text search
✔ Internet of Things - software for smart home, smart office, smart retail, smart supply chain, wearables Our services:
✔ MVP
✔ PoC
✔ R&D
✔ System and Business Analysis
✔ QA services
✔ UI/UX Design
Our tech stack:
✔ Python, OpenCV, Tensorflow
✔ IBM Watson, Google AI services
✔ Java, Python, C++, C#
✔ Swift, Objective C (iPhone, iPad), Kotlin
✔ JavaScript, ReactJS, React Native, Redux, HTML5, CSS
✔ RDBMS MySQL, Oracle, PostgreSQL, MS SQL, ANSI SQL, PL/SQL ✔ noSQL
Key Insights
Services & Focus
Industry Focus
Client Focus
Portfolio
A mobile app to help the users to feel calm based on EMDR
Calm and Confident is another mobile application our company has built for Mark Grant, a clinical psychologist with 20 years of experience in the treatment of stress, trauma, and pain.
This mobile app is designed to help the users to feel calm and balanced by listening to audio tracks with the BLS (bilateral brain stimulation) effect which is a vital part of EMDR (Eye Movement Desensitization & Reprocessing) treatment. It can be used with mobile devices and PC tablets.
Challenges:
1) In this app we wanted to try a more personalized approach for user listening experience because different tracks work better for different people and we had to provide them with a beeline to the most helpful tracks whenever they need it. At the same time, we didn’t want to make the app more complex than it is necessary for its main goal.
2) It was very important for us to synchronize our animation with the frequency of metronome used for the BLS effect. Otherwise, the visuals won’t amplify the original stimulating effect.
Solutions:
1) For that, we have built-in a Personal compilation gallery where the most frequently listening tracks are collected. It can have both audio tracks and tracks with animation since they all belong to the same playlist.
2) Since the metronome frequency was not consistent due to BSL effect requirements and the customer couldn’t provide us with accurate calculations for the correct frequency within different timeframes we had to calculate it by ourselves. Because of that the animation was generated automatically via coding means instead of putting together a single animated file manually.
Results:
As a result, the mobile app was published on all iOS and Android markets. At first, our customer has tried this app among his colleagues but now it is available for anyone who has access to the Australian markets. So far we didn’t get any global additional requests regarding the app.
Business value:
The main goal of the app was turning a music album that Mark Grant recorded a while ago into something more modern, mobile and personalized. Since the tracks themselves have proved to be efficient on their own record it was only logical to give them a new life in the form of a mobile application with a few unique features.
Social network for finding, storing and sharing music
Vertigo project is a unique social media platform focused on finding, storing and sharing music and video. The Admin side is a web application, and the Client-side is a mobile application designed for both Android and iOS.
The application enables users to gather their external music collections from many sources in one place. Vertigo users have it all gathered at once via Vertigo aggregating features. They can link their Apple Music and Spotify Premium accounts to find songs, build playlists, and share them with their social friends.
The media platform allows users to broadcast their favorite music in the best possible quality, receive real-time feedback through live commenting, connect with other users to tune into their live sessions and discover new music.
Challenges
There was a huge bulk of data with relational structure represented as text-files in the system. The Customer wanted to arrange fast ways of searching for data items.
We had to scale and route the high load Stateful Service. The classical approach to balancing the load could not be used for this service.
The data processing algorithm was implemented as SQL scripts. The implementation took more than 24 hours. TheCustomer wanted to speed up this process.
Solutions
We have used ETL algorithm based on the framework ReactiveX. The search index is created in ElasticSearch.
We have implemented a self-balancing method for the cluster. An individual address is sent to a client, the client can be served at this address.
We have migrated the data processing algorithm to ApacheSpark.
Results
We have parallelized and optimized the process of downloading the data. The total amount of the indexed data is about 70 Gb. The data is available for real-time searching.
The implemented method allows the system with 500+ users to serve 100+ video data streams in real time.
The data processing is scaled horizontally. The scaling is 30 minutes.
An algorithm to count falling drops
An application to automatically count drops of fluid on video. It can be used in high-precision manufacturing, pharmaceuticals, to detect potential leakages of weak equipment.
Challenges
- Video processing in order to recognize the object of interest
- Counting the number of drops
Solutions
- To catch a moving object in the video, it is needed to leave this single object on all the shots. For this purpose background and foreign objects should be removed from the shots.
- To count the number of drops, we analyzed all shots of the video to detect a stretched drop using OpenCV
Results
As a result, we managed to accurately recognize the drop falling on the video and count the fallen drops.
The data on the calculated number can be compared with the admissible values depending on the specific task and industry.
Chart recorder
The project was implemented for one of the Canadian oil and gas companies. Theimplemented business process implies recognition of the charts which are generated by twoor three pens driven by sensors attached to gas pipes. These pens plot traces on a rotatingpaper disk. As a result, the disc has the values of different parameters such as gas pressure, water, temperature. The next step is to convert this chart into a readable format.
This conversion process used to be performed manually by our customer’s employees. Theyhad to manually delineate the contours of each trace using the mouse and then create thetable with the values of the trace. Obviously, the whole process was very time-consuming and painful for the employee since he had no room for mistake.
Challenges
- The main challenge we faced was how we actually should recognize the chart itself and all the traces it contains. Thetraces on the chart could hardly be seen or overlap each other.
These kinds of issues were the most challenging for us since we had to recognize each trace separately and form the table with the values of each parameter.
Solutions
To solve the problems which were described above, we didstep-by-step work. To be more specific, we implemented thefollowing things:
- Implementation of recognizing the empty chart template without any traces;
- Then recognizing the traces on the chart;
- Then recognizing the colors of each trace since the traces can be red, black, blue, etc. It depends on the pen’s color;
- Defining where the trace starts and where it ends;
- Calculation of the average value of the trace.
Results
As a result of the first phase we developed the solution that takes the images of these charts input data, recognizes each trace and generates the result file as a table with the needed metrics of pressure, temperature, water.
This solution is currently used by the customer’s employees and provides them with a high level of accuracy. Now we are planning the second phase of development which is aimed to increase the current functionality.
License plate recognition system
One of the main specializations of our company is Computer Vision.
Among our projects in this area there is a solution for a corporate parking lot. The idea is thatthe parking lot cameras find the license plates on arriving cars and the gate bar opens for thecars with authorized license plates only.
As the first step of this work, we had to develop a solution which would be able to detect andread the car’s license plates.
Challenges
The first challenge looks obvious. We need to learn where thelicense plate is actually located on the car.
The second challenge is that the license plates are different in every country, they have different fonts, the order of lettersand numbers, etc. For example, the license plates in Russiahave one letter at the beginning, three numbers and then twoletters at the end and the area code. The main problem wasthat most libraries and solutions are built for the foreign countries license plates. So, we had to learn the system to recognize our country license plates as well.
The third challenge was that there could be mistakes inrecognition since it can be some sign near the license plate,or any other environment obstacle which could cause the mistake.
Solutions
To handle these challenges, we used a special library which was strictly focused on license plate recognition. But using that special library was not enough. Our developer had to customize and set it up so that the system would be able to detect alicense plate in general and define its combination of lettersand numbers.
Results
Currently we have a script which takes a car picture on the input, processes it inside, recognizes the license plate, and, as an output result returns a car picture with marked license plate and its contentabove. The script provides a high quality of recognition in most cases.
The main advantage of this script is that it can be used in any kind of application, i.e. web, mobile,desktop.
A solution to control bottled products quality
A company producing bottled products had a task to provide the quality control of itsproducts, to achieve that, it was necessary to monitor the level of liquid in the bottle and theposition of the pasted label. If the level of liquid and the position of the label do notcorrespond to the admissible values, the product is of poor quality.
Challenges
- Recognize and single out the object of interest (bottle)
- Determine the position of the label on the bottle
- Determine the level of liquid in the bottle
- Compare the obtained values of the position of the label andthe level of liquid with the admissible ones
Solutions
- To single out the object of interest, we first determined thebackground of the image obtained from the webcam. To achieve this, we used the OpenCV function, which allowsfiguring out the corresponding object based on the typicalsection, and besides removed the “noise” outside the object.
- To solve the problem of determining the position of the label,the image is adjusted to HSV format. Then, using OpenCV,blurring of the image and "noise" reduction, the boundaries ofthe label are determined.
- To determine the liquid level, the image was also adjusted toHSV format and “noise” was reduced.
The admissible values for the position of the label and thelevel of liquid are entered into the system in advance, takinginto account the existing standards. The systemautomatically compares the obtained values with theadmissible ones, based on which the conclusion about thequality of the product can be made.
Results
As a result, highly accurately determining the level of liquid in the bottle and the place where the labelwas pasted became possible, the data obtained were compared with regular results.
Comparison of the obtained values with the admissible ones allows detecting products of poor quality.
Social network for finding,storing and sharing music
Vertigo project is a unique social media platform focused on finding, storing and sharing music and video. The Admin side is a web application, and the Client-side is a mobile application designed for both Android and iOS.The application enables users to gather their external music collections from many sources in one place. Vertigo users have it all gathered at once via Vertigo aggregating features. They can link their Apple Music and Spotify Premium accounts to find songs, build playlists, and share them with their social friends.The media platform allows users to broadcast their favorite music in the best possible quality, receive real-time feedback through live commenting, connect with other users to tune into their live sessions and discover new music.
Database Related Tools
JNetDirect is an innovative leader in software products for improving their customer's clients connectivity, integration, management and security to their data resources. Over 4000 companies worldwide rely on JNetDirect software to provide critical components for their applications and development environments.There are three products we developed: JSQLConnect, JDataConnect and Combine. - JSQLConnect is one of the best JDBC drivers providing fast, secure and reliable connectivity to Microsoft SQL Server.- JDataConnect is JDBC-ODBC bridge providing a quick connection of Java applications to data sources.- Combine is an instrument for deploying and monitoring changes on a great number of databases.
Cassantec prognostic solution
Cassantec is an industry-leading provider of a SaaS-solution that uses unique mathematical algorithms to forecast equipment malfunctions. This allows businesses (nuclear power, fossil power, railways, etc.) to make timely decisions to repair or replace equipment depending on forecast results and save millions of dollars.
The prognostic solution is the only solution which provides reasonably accurate forecasts for 3 years ahead. It defines the level of malfunctions: standard, high, critical. The forecasts are based on data analysis of a great number of sensor controllers not on the analysis of past malfunctions that other systems make.
SaaS solution for managing construction and agriculture sites
The web application has been developed for a global leading provider of advanced location-based solutions (positioning systems) — Trimble Navigations. The system has 21’755’588 weekly queries with support of complex search results exceeding 270 searches/second in production.
The project is a web-portal for managing manufacturing process in providing a wide range ofsolutions: adjusting Client’s own web interface of an application using the modules offeredby the system, creating future construction projects, approving documents, managing virtualfilesystem. This system is applied in construction, agriculture and other industries.
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