Mobile Applications Development Services

USE CASE
License Plate Recognition
Our automatic license plate recognition software is designed to detect, scan and recognise vehicle license number plates in real-time by processing video footage from CCTV cameras. Available on Android devices as a subscription service, LPR can be used to:
Help police or security agencies scan and identify cars
Secure border crossing by assessing if a car is suspicious
Parking garages can automatically open just by recognizing the tenant’s plates
Parking Service companies can better monitor entry and exit
Tech stack: PHP, Laravel, Node.js, Amazon Web Services: S3, RDS, SQS, SNS, Database: MySQL, and more.
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USE CASE
Intelligent Handwritten Text Recognition
For a pharmaceutical company from Belgium, we developed an intelligent character recognition software that verifies tests by checking whether the handwritten ID on the test container matches the ID from the dataset. Every container has a label with ID and QR-Code which is used as a link to the dataset. Features include:
Our ICR platform is a self-learning system which means the level of recognition accuracy is increased each time the application is used;
Given variances in handwriting styles, capture rates can vary dramatically, the OCR software maintains the accuracy rate of 98% if source documents are in good condition.
Tech stack: MATLAB, Python, OpenCV, C++, Hough transformation algorithms, Android, IOS, image processing, machine learning, k-nearest neighbours algorithm (k-NN).
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USE CASE
Mobile Subscription App
JustAnswer is the world’s leading expert marketplace offering fast and affordable online advice from 10,000 verified professionals. The customers with membership can use this application to communicate with the expert, as well as:
Search for categories, upload photos
Access to questions & answers in offline mode
AReceive instant notification when expert replies
Deep iPhone integration (Push Notifications, Spotlight, Keychain)
Using third-party frameworks and services
Tech stack: Objective-C, Swift 3.0, Alamofire, Google Analytics, Tag Manager, HockeyApp, Twilio, UI & load tests, CI build server.
READ MORE

USE CASE
License Plate Recognition
Our automatic license plate recognition software is designed to detect, scan and recognise vehicle license number plates in real-time by processing video footage from CCTV cameras. Available on Android devices as a subscription service, LPR can be used to:
Help police or security agencies scan and identify cars
Secure border crossing by assessing if a car is suspicious
Parking garages can automatically open just by recognizing the tenant’s plates
Parking Service companies can better monitor entry and exit
Tech stack: PHP, Laravel, Node.js, Amazon Web Services: S3, RDS, SQS, SNS, Database: MySQL, and more.
Customer:
Tech company, Israel
Project challenges:
Camera software works in the real-time environment under any conditions: illumination, weather, etc
Detect vehicle direction
High software performance, since in most cases the vehicle is a moving object
Powerful synergy with the client’s suite of vehicle recognition products
Poor input file resolution, usually because the plate is too far away, or blurry images, particularly motion blur
Simultaneous processing of multiple video streams from CCTV cameras on different devices
Technologies and Instruments:
The back-end development tech stack: PHP, Laravel, Node.js, Amazon Web Services: S3, RDS, SQS, SNS, Database: MySQL.
Web UI tech stack: AngularJS, HTML, CSS.
Data Modeling and Architecture: machine learning and image/video processing algorithms, Haar Cascades.
READ MORE
USE CASE
Intelligent Handwritten Text Recognition
For a pharmaceutical company from Belgium, we developed an intelligent character recognition software that verifies tests by checking whether the handwritten ID on the test container matches the ID from the dataset. Every container has a label with ID and QR-Code which is used as a link to the dataset. Features include:
Our ICR platform is a self-learning system which means the level of recognition accuracy is increased each time the application is used;
Given variances in handwriting styles, capture rates can vary dramatically, the OCR software maintains the accuracy rate of 98% if source documents are in good condition.
Tech stack: MATLAB, Python, OpenCV, C++, Hough transformation algorithms, Android, IOS, image processing, machine learning, k-nearest neighbours algorithm (k-NN).
Challenges:
Here is a list of problems that occurred during the development of a handwritten characters recognition application:
poor quality text
a variety of individual handwritings
characters separation from the background
a unique form of symbols
nonlinear character location
neighbouring symbols can be connected.
Intelligent Character Recognition Software
We have done a lot of work to overcome the limitations of OCR by applying preprocessing algorithms (image binarization, waste clearing, text lines detection, character detection). Overall, the handwritten character recognition can be divided into the following steps:
create a relevant training database
run preprocessing algorithms
correctly segment areas with numbers (our region of interest)
READ MORE
USE CASE
Mobile Subscription App
JustAnswer is the world’s leading expert marketplace offering fast and affordable online advice from 10,000 verified professionals. The customers with membership can use this application to communicate with the expert, as well as:
Search for categories, upload photos
Access to questions & answers in offline mode
AReceive instant notification when expert replies
Deep iPhone integration (Push Notifications, Spotlight, Keychain)
Using third-party frameworks and services
Tech stack: Objective-C, Swift 3.0, Alamofire, Google Analytics, Tag Manager, HockeyApp, Twilio, UI & load tests, CI build server.
Challenges in IOS app development:
Convert codebase from Objective-C to Swift 3.0 in order to improve performance
Reintegrate third-party frameworks
Organize multiple 2-day hackathons (IP-telephony in the app, offline-mode) with further productization
Benefits:
the increased average revenue per user (ARPU) by billing customers on a recurring basis
retained more customers by providing enough value that users continue to renew subscriptions.
READ MORE

Customer:

Tech company, Israel

Project challenges:

Camera software works in the real-time environment under any conditions: illumination, weather, etc
Detect vehicle direction
High software performance, since in most cases the vehicle is a moving object
Powerful synergy with the client’s suite of vehicle recognition products
Poor input file resolution, usually because the plate is too far away, or blurry images, particularly motion blur
Simultaneous processing of multiple video streams from CCTV cameras on different devices

Technologies and Instruments:

The back-end development tech stack: PHP, Laravel, Node.js, Amazon Web Services: S3, RDS, SQS, SNS, Database: MySQL.
Web UI tech stack: AngularJS, HTML, CSS.
Data Modeling and Architecture: machine learning and image/video processing algorithms, Haar Cascades.

HIDE INFO

Challenges:

Here is a list of problems that occurred during the development of a handwritten characters recognition application:

poor quality text
a variety of individual handwritings
characters separation from the background
a unique form of symbols
nonlinear character location
neighbouring symbols can be connected.

Intelligent Character Recognition Software

We have done a lot of work to overcome the limitations of OCR by applying preprocessing algorithms (image binarization, waste clearing, text lines detection, character detection). Overall, the handwritten character recognition can be divided into the following steps:

create a relevant training database
run preprocessing algorithms
correctly segment areas with numbers (our region of interest)

HIDE INFO

Challenges in IOS app development:

Convert codebase from Objective-C to Swift 3.0 in order to improve performance
Reintegrate third-party frameworks
Organize multiple 2-day hackathons (IP-telephony in the app, offline-mode) with further productization

Benefits:

the increased average revenue per user (ARPU) by billing customers on a recurring basis
retained more customers by providing enough value that users continue to renew subscriptions.

HIDE INFO

Mobile App
Development

Our Services to Take Your Business to the Next Level

Our mobile development services include:

Our Mobile Development Projects Portfolio

License Plate Recognition

Intelligent Handwritten Text Recognition

Mobile Subscription App

License Plate Recognition

Customer:

Project challenges:

Technologies and Instruments:

Intelligent Handwritten Text Recognition

Challenges:

Intelligent Character Recognition Software

Mobile Subscription App

Challenges in IOS app development:

Benefits:

Customer:

Project challenges:

Technologies and Instruments:

Challenges:

Intelligent Character Recognition Software

Challenges in IOS app development:

Benefits:

Technology Skill Set in Custom Mobile Applications Development

Tools

Frameworks

Programming languages

Databases and networking

“It always was and is an excellent work together and we look forward to many years more. I definitely can recommend Abto for a nearshore center.”

Andreas Meier

“We rely a great deal on the IT services and expertise we receive from Abto.”

Christian Baumann

“Such a good quality, paired with the promptness and a great price-performance ratio is very rare. But most of all we appreciate working with the great people of Abto Software.”

Philip Nussbaumer

“Working with a company like Abto makes dealing with the unexpected easier.”

Tony Clarey

Contact us

New York, US

Lviv, Ukraine

Mobile App Development

Our Services to Take Your Business to the Next Level

Our mobile development services include:

Our Mobile Development Projects Portfolio

License Plate Recognition

Intelligent Handwritten Text Recognition

Mobile Subscription App

License Plate Recognition

Customer:

Project challenges:

Technologies and Instruments:

Intelligent Handwritten Text Recognition

Challenges:

Intelligent Character Recognition Software

Mobile Subscription App

Challenges in IOS app development:

Benefits:

Customer:

Project challenges:

Technologies and Instruments:

Challenges:

Intelligent Character Recognition Software

Challenges in IOS app development:

Benefits:

Technology Skill Set in Custom Mobile Applications Development

Tools

Frameworks

Programming languages

Databases and networking

“It always was and is an excellent work together and we look forward to many years more. I definitely can recommend Abto for a nearshore center.”

Andreas Meier

“We rely a great deal on the IT services and expertise we receive from Abto.”

Christian Baumann

“Such a good quality, paired with the promptness and a great price-performance ratio is very rare. But most of all we appreciate working with the great people of Abto Software.”

Philip Nussbaumer

“Working with a company like Abto makes dealing with the unexpected easier.”

Tony Clarey

Contact us

Mobile App
Development