Our Computer Vision Services

Industries We Serve

From automating visual inspections to enhancing customer experiences and improving operational efficiency, we provide cutting-edge AI-powered tools that help businesses across various sectors unlock the full potential of their visual data.

  • Manufacturing & Logistics

    Defect Detection • Equipment Monitoring • Anomaly Detection • Inventory Management • Intrusion Detection • Vehicle Inspection • Dimensional Accuracy

  • Healthcare & Life Science

    Medical Imaging Analysis • Surgical Assistance • Patient Monitoring • Remote Diagnostics and Prediction • Document Digitization • AI Drug Discovery

  • Education & eLearning

    Automated Attendance Systems • Adaptive Learning Platforms • Lecture Transcription and Analysis • Image and Video Content Tagging

  • Product & Tech Companies

    Asset Management • Facility Security • Visual Data Analysis • Behavioral Biometrics • Document Processing

  • Retail & eCommerce

    Visual Search • Automated Shelf Monitoring • Foot Traffic Analysis • Customer Profiling • Video Surveillance • Customer Sentiment Analysis • Quality Control • Visual Content Analysis

  • Financial Services

    Document Processing and Automation • Security and Surveillance • KYC and AML

Computer Vision Technologies We Employ

Object Recognition Image Classification Semantic Segmentation Face Recognition ML & Deep Learning Classical CV Approaches

Object detection and recognition allow machines to analyze and interpret visual data, driving advancements in automation, safety, healthcare, and consumer technologies. Our expertise includes the following techniques:

YOLO v1-v8
EfficientDet
Mask-RCNN
SSD300 and SSD512, MobileNet-SSD
SIFT and SURF

Object Recognition

Image classification assigns labels or categories to images based on their visual content, enhancing the ability of machines to understand and interpret images. We utilize the following techniques:

CNNs: ResNet, VGGNet, Inception (GoogLeNet), EfficientNet, MobileNet v1-v3
Feature Extraction and Image Embeddings
Self-Attention
Other DL Techniques

Image Classification

Semantic segmentation assigns class labels (e.g., person, car, tree) to each pixel in an image, offering a detailed understanding by breaking the image into meaningful segments. We leverage the following methods:

CNNs: UNet, UNet++, AdaptNet
Dilated (Atrous) Convolutions
Self-Attention and Non-local Blocks

Semantic Segmentation

Face recognition identifies or verifies individuals by comparing facial features with a database of known faces. Verification determines whether two faces belong to the same person. We utilize the following technologies:

FaceNet, Siamese Networks, ArcFace
One-Shot Learning and Metric Learning
Classification-Based Approaches
Feature Extraction and Matching

Face Recognition

Machine Learning (ML) techniques extract meaningful features from visual data for classification, detection, and segmentation. Deep Learning (DL) automatically extracts features from raw data, achieving best performance in various computer vision applications. We use the following technologies:

Support Vector Machines
Random Forests
Naive Bayes Classifier
K-Nearest Neighbors
CNNs and RNNs
Long Short-Term Memory Networks
Generative Adversarial Networks
Autoencoders

ML and Deep Learning

These techniques, widely used before the rise of deep learning, rely on manual feature extraction and algorithmic processing rather than learning-based methods. Our expertise includes:

Haar Cascades, HOG, Feature Matching
Eigenfaces and Fisherfaces
Bilateral, Laplacian, Sobel, Gaussian Filters

Classical CV Approaches

Computer Vision Experts by Your Side

Anton Cheplyukov

Anton Cheplyukov

AI Practice Lead

Stanislav Bychkovsky

Stanislav Bychkovsky

Machine Learning Engineer

Vladislav Svetlakov, Machine Learning Engineer at Coherent Solutions

Vladislav Svetlakov

Machine Learning Engineer

Katya Minyukovich

Katya Minyukovich

Machine Learning Engineer

Looking for Computer Vision Technology Experts?

Transform your vision into reality with our specialized computer vision services. Contact us today to start your journey toward smarter software solutions.

Request Free Consultation

Success Stories Delivered by Us

More Case Studies
AI-Driven Speech Analytics: Empowering Informed Business Decisions
Virtual Try-On Solution
Streamlining Eyeglass Orders for a Leading Eyewear Retailer

Your Robust Partner in Computer Vision AI

  • Expert Digital Engineering

    With 30+ years of experience, we deliver innovative solutions that transform operations and drive sustainable growth, keeping our clients ahead in competitive markets.

  • Secure & Agile Development

    We follow a secure, agile development process, ensuring timely delivery, consistent feature releases, and top-quality results by adhering to industry best practices.

  • Comprehensive Tech Stack

    Our team of 40+ expert AI and data analytics developers excels in both well-known and cutting-edge technologies, delivering robust solutions tailored to your business needs.

  • Proven Industry Success

    As an experienced computer vision development company, we’ve successfully implemented solutions across various industries, including finance, retail, and manufacturing.

Cooperation Models



  • Consulting

    Maximize your potential with our AI consulting services. We assess your process, identify key use cases, and create tailored roadmaps and POCs to align with your business goals.

  • Dedicated Team

    Boost your computer vision software development with our dedicated teams, offering specialized knowledge and seamless collaboration for project success.

  • Professional Services

    Need tailored CV solutions? Our experts customize AI-driven features to optimize your systems for performance and efficiency, addressing your specific needs.

  • Product Development Services

    From concept to deployment, our end-to-end development services help you create innovative computer vision solutions that drive success and give you a competitive edge.

Computer Vision Software Development Process

  • Requirement Analysis

    • We begin by defining project objectives to align with your business needs, then conduct a feasibility study to assess the technical and financial viability.
  • Data Preparation

    • We collect and annotate relevant data to ensure its accuracy. Additionally, we apply data augmentation techniques to improve model performance and robustness.
  • Model Development

    • We select the best algorithms for your project, train the AI model using the prepared data, and evaluate its performance to ensure it meets objectives and standards.
  • Integration

    • We integrate the developed software into your existing systems, thoroughly testing functionality and performance, and set up infrastructure to support deployment.
  • Maintenance

    • We provide ongoing maintenance to ensure your solution adapts to evolving requirements, stays fully optimized, and continues to perform at its best.

Computer Vision Technical Stack

Data Storage and Annotation

Amazon S3
Google Cloud Storage
Microsoft Azure Blob Storage
MongoDB, PostgreSQL, MySQL
HDFS
Apache Cassandra

CVAT
LabelImg
Amazon SageMaker Ground Truth
VGG Image Annotator

Data Preprocessing

OpenCV, Pillow (PIL), scikit-image
Albumentations, Augmentor, imgaug
Gaussian filter, Median filter, Bilateral filter

Otsu’s thresholding, Adaptive thresholding, Watershed algorithm
OpenCV, scikit-image

Classical ML Approaches

Sobel, CannyEdge
findContours
Optical flow (Lucas-Kanade, Farneback, etc.)

scikit-learn, Linear and Logistic Regression, Decision Tree, XGBoost, LightGBM
SVM, k-NN, Random Forest, ensemble methods

Deep Learning Models

VGG, ResNet, Inception, MobileNet
YOLO, SSD, Faster R-CNN

U-Net, Mask R-CNN, DeepLab
GANs, StyleGAN, CycleGAN

Model Training and Evaluation

TensorFlow, PyTorch, Keras
Gradient Descent: SGD, Adam, RMSprop

Cross-validation, K-fold validation, data splitting

Deployment and Integration

TensorFlow Serving, TorchServe, ONNX Runtime
Flask, FastAPI, Django, gRPC, AWS, Microsoft Azure

TensorFlow Lite

Frequently Asked Questions

  • What types of computer vision solutions do you provide?

    We offer a comprehensive range of AI computer vision systems, including object detection, facial recognition, image segmentation, optical character recognition (OCR), and video analytics. Our services are tailored to meet the unique needs of industries such as healthcare, retail, automotive, and security.

  • How do you ensure the accuracy of your computer vision models?

    As an experienced computer vision company, we develop our models using advanced machine learning algorithms, trained on large and diverse datasets. Rigorous testing and validation ensure high accuracy, while continuous monitoring and updates maintain optimal performance.

  • Can your computer vision software integrate with our existing systems?

    Absolutely. Our computer vision software is designed for seamless integration with your existing systems and applications. We provide custom APIs and SDKs to ensure smooth compatibility and operation within your current technological infrastructure.

  • What kind of support and maintenance do you provide post-deployment?

    We offer comprehensive post-deployment support, including regular updates, bug fixes, and performance enhancements. Our dedicated support team is available to resolve any issues and answer questions, ensuring your computer vision solution runs smoothly.

  • How do you handle data privacy and security for computer vision projects?

    Data privacy and security are paramount in all our projects. We follow stringent data protection protocols and comply with regulations such as GDPR. All data is securely processed and stored with encryption and access controls to prevent unauthorized access. Regular security audits further safeguard your data.

  • What is the typical timeline for deploying a computer vision solution?

    The timeline for deploying a computer vision solution varies based on the project’s complexity and scope, typically ranging from a few weeks to several months. During the initial consultation, we provide detailed project timelines and milestones to ensure clear communication and effective project management.

Get a Free Consultation with Our Experts!

Simply fill out our contact form below, and we will reach out to you within 1 business day to schedule a free 1-hour consultation covering platform selection, budgeting, and project timelines.

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Here's what happens next:

  1. Our sales rep will contact you within 1 day to discuss your case in more detail.
  2. Next, we will arrange a free 1-hour consultation with our experts on platform selection, budgeting, and timelines.
  3. After that, we’ll need 1-2 weeks to prepare a proposal, covering solutions, team requirements, cost & time estimates.
  4. Once approved, we will launch your project within 1-2 weeks.