Computer Vision Development Services
Look deeper and see more with the potential of Computer Vision.
Look deeper and see more with the potential of Computer Vision.
What is Computer Vision
22.27 bn USD
The size of the computer vision market will reach 22.27 billion USD in 2023
12.56%
The market size will show an annual growth rate (CAGR 2023-2030) of 12.56%, which will lead to the fact that the market volume by 2030 will be 50.97 billion US dollars
Computer vision is
one of the areas of Artificial Intelligence that works with computers and systems that receive information from video, photos, and other visual data. Artificial intelligence is the system’s brain, and computer vision is its eyes.
Human Vision vs Computer Vision
We are experienced in such expertise in Computer Vision Development Services
01
Image Recognition
You can use Image Recognition in your business to detect and analyze images that can automate certain tasks. This technology’s functions include categorizing image to specific pre-defined groups of classes or types of elements characteristic of images. On their basis and analysis, image recognition makes certain conclusions to solve various tasks.
02
Text Recognition or OCR
If you need a solution that recognizes text on the image, Amazinum Company is ready to perform it. Text Recognition or OCR refers to the field of computer vision that is responsible for reading text in images, recognizing characters – and thus identifying text. Ultimately, it is converted into a machine-readable form that can be used for data processing.
03
Object detection
It is very simple to be a leader among competitors by simply applying Machine Learning algorithms. And the Amazinum team is ready to help you with this. Object detection is, in most cases used to detect the location of objects in video and images. Object detection uses many methods to achieve its tasks, including image processing, pattern recognition, artificial intelligence, and machine learning.
04
Semantic Segmentation
Semantic segmentation is a computer vision technique that analyzes and classifies an image at the pixel level in order to identify objects on it. The technique tries to determine the category of each pixel in the image. That is, semantic segmentation classifies similar objects as a single class at the pixel level.
05
Instance Segmentation
Instance segmentation is an advanced technique that classifies objects in images at the pixel level and identifies each instance of the object. Instance segmentation classifies similar types of objects into different categories. This computer vision technique uses Mask R-CNN structures, which helps it distinguish between instances within classes.
Instance segmentation requires analyzing the difference between visual data with different overlapping objects and different backgrounds. Our specialists use CNN (convolutional neural networks) or ViT (Visual Transformers) for the segmentation of instances. Thanks to this, they find objects at the pixel level.
06
Object tracking
Object tracking is a technique used to track objects in an image or video after they have been detected. Thus, after determining the starting position, the computer in online or offline mode can predict the drift in each subsequent frame.
There are two types of object tracking:
- Single object tracking
- Track multiple objects
07
Face and person recognition
Face recognition is a part of object detection, but the main object here is the human face. The algorithm looks for common features and relies on unique points, such as eyes, lips or nose, and classifies the face based on these landmarks.
There are different methods to deal with this type of task. One of the traditional methods of image processing for face recognition is the Haar cascades algorithm. On the other side, deep learning algorithms using CNN networks show more reliable and efficient results.
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Computer Vision Development Services & Business Solutions
Let Amazinum Data Scientists develop solutions for you that will improve your business and lead to success. The potential of computer vision affects many areas. Expand your possibilities with Amazinum.
Computer Vision Applications
Augment reality (AR)
Super-resolution imaging (SRI)
Optical character recognition (OCR)
Self-driving vehicles
Facial recognition
Heathcare
Use cases of Computer Vision
Retail
Cashless stores, automated scales, and product absence sensors all optimize the work of staff and allow them to spend more time with customers. E-commerce has used customers’ previous experiences to create personalized offers, thereby encouraging them to buy more. And these are far
from all the cases that you can solve with the help of Computer Vision
Education Sector
The impressive capabilities of computer vision are opening up in the field of education Computer Vision can recognize responses written by students and also assist with their automatic evaluation, understand behavior, and improve content based on students’ previous experiences, automating classroom monitoring to deter cheating in tests is already used in many cases, especially when we talk about distance learning. Computer Vision-powered webcams identify students’ cheating 
behaviors by tracking their postures or eye movements.
Healthcare
Recommendation models are used by entertainment services to recommend content that may be of interest to the user. By analyzing
consumer behavior, provide offers that will suit your user’s needs.
Fitness and Sport
You can achieve more results and better understand each player simply by implementing performance control, intensity adjustment, and comparison of achieved results. In addition, you can track the players and the ball
on the field so that the referee can make accurate statistical conclusions
Agriculture
Old-fashioned methods and equipment are gradually disappearing from agricultural areas across the globe. Computer vision is being used by farmers nowadays to increase agricultural productivity. Advanced computer vision and artificial intelligence models are being developed for sowing and harvesting purposes by agriculture technology companies. These solutions can also be used for advanced weather analysis, weeding, and plant health detection.
Numerous current and future agricultural applications of computer vision include yield tracking, autonomous pesticide spraying, drone-based crop monitoring, intelligent crop sorting and classification, and automated pesticide spraying. For additional analysis, these AI-powered solutions scan the shape, color, and texture of the crops. Weather records, forestry data, and field 
security are also being used more and more through computer vision technology.
workers in packaging and quality monitoring activities.
examination of body language and eye movements.
devices’ ability to react to head movements and facial expression changes.
optimize their operations and enhance customer satisfaction.
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Companies that already use Computer Vision Development Services
Using computer vision, Pinterest facilitates visual search for objects by letting users take pictures or pick specific areas of images to search for.
Bosch
Bosch uses computer vision in industrial automation, driver assistance systems, and video surveillance.
Affectiva
Affectiva analyzes facial expressions using computer vision and emotion recognition technologies to enable emotion-aware AI applications in fields like user experience testing and market research.
Zebra Medical Vision
Based on user ratings, viewing history, and preferences, Hulu uses recommendation algorithms to offer TV series and movies to users.
CureMetrix
CureMetrix improves the precision of medical imaging diagnostics by utilizing computer vision in mammography to detect breast cancer.
Obsidian Security
Obsidian Security offers threat detection and response solutions for cybersecurity using computer vision and machine learning.
Aibee
Aibee specializes in artificial intelligence (AI) solutions, encompassing computer vision, for uses in retail analytics, smart city technologies, and facial recognition.
SenseTime
SenseTime is a top artificial intelligence company that uses computer vision to solve problems with smart cities, driverless cars, and facial recognition.
Waymo (a Google/Alphabet subsidiary)
Waymo is a self-driving technology company that uses computer vision to enable its driverless vehicles to see and understand their surroundings.
FAQ
More precisely, computer vision refers to a collection of methods that make it possible to automate processes using a stream of images or videos. Computer vision is a subset of image recognition. It consists of a collection of methods for identifying, evaluating, and interpreting pictures to support judgment calls.
- OpenCV. OpenCV (Open Source Computer Vision Library) is one of the most widely used computer vision libraries.
- Viso Suite
- TensorFlow
- CUDA
- MATLAB
- Facial recognition.
- Self-driving cars.
- Robotic automation.
- Medical anomaly detection.
- Sports performance analysis.
- Manufacturing fault detection.
- Agricultural monitoring.
- Plant species classification.
Advantages of engaging the Amazinum company
7
Years
We offer you our 7 years of expertise in data science.
40+
ML Engineers
We have a large talent pool of highly-skilled ML engineers of Middle and Senior-level professionals.
16
Active Projects
Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.
We develop unique solutions created for a specific project and client’s requirements.
The Amazinum team takes market features and micro and macro risks in the development of POCs in order to optimize your efforts and resources.
We take care of the qualifications of each specialist we offer for the project. Due to the presence of more than 40 specialists, we select a Data Scientist who has experience in a specific domain with specific technologies.
You may not worry about the employee if the case of termination or suspending of assignment, as well you don’t need to hire the specialist in advance in cases of uncertain project start
Advantages of engaging the Amazinum company
7
Years
We offer you our 7 years of expertise in data science.
40+
ML Engineers
We have a large talent pool of highly-skilled ML engineers of Middle and Senior-level professionals.
16
Active Projects
Our team has successfully connected Machine Learning Engineers to technical departments in more than 19 companies.
We develop unique solutions created for a specific project and client’s requirements.
The Amazinum team takes market features and micro and macro risks in the development of POCs in order to optimize your efforts and resources.
We take care of the qualifications of each specialist we offer for the project. Due to the presence of more than 40 specialists, we select a Data Scientist who has experience in a specific domain with specific technologies.
You may not worry about the employee if the case of termination or suspending of assignment, as well you don’t need to hire the specialist in advance in cases of uncertain project start
Amazinum Portfolio in Computer Vision Development Services
Smart Eyes: The Integration of AI and ML in Surveillance Cameras for Enhanced Security
Beyond Monitoring: The Power of AI and ML in Construction Site Surveillance
Our Industry Focus
Our industry knowledge and background give our clients and partners confidence that we understand their business. Here we highlighted a few top industries we are good at, penetrating to the smallest details and nuances of a certain branch.
SEO & Marketing
Healthcare
Safety & Security
Sport
E-commerce & Retail
Gambling and Casino
Manufacture
Ecology
FinTech
Energy
Localisation
IoT
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
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ESTONIA
Amazinum OÜ
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