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Computer vision and image analysis
Get tips from DUC Technologies experts on how to extract and use useful information from images and videos.
Object recognition: people, cars, animals, objects, etc.
Facial recognition and biometrics
Image classification
Behavioral analysis of objects: tracking
movement, identifying gestures, or detecting unusual behavior
development of IT systems for analysis, interpretation, and extraction of information from images and videos
Image classification
scientific
approach
data-driven
guarantee
12 months
Cases
Our projects
15
30
the average time to detect a violation has been reduced
the time for generating reports has been reduced
We created a digital assistant to accurately and securely answer user questions while minimizing risks to the company's image.
Detection of safety violations
компьютерное зрение и анализ изображений
times
times
15
30
the average time to detect a violation has been reduced
the time for generating reports has been reduced
We created a digital assistant to accurately and securely answer user questions while minimizing risks to the company's image
Detection of safety violations
компьютерное зрение и анализ изображений
times
times
Our research
ML model for detecting patient falls in hospitals
How to optimize clinic operations, prevent potential incidents, and improve overall efficiency
компьютерное зрение и анализ изображений
ML model for detecting abandoned bags in shopping malls
How to analyze video from shopping mall cameras online and identify bags and other suspicious items left behind by visitors
компьютерное зрение и анализ изображений
Download the presentation
Learn about the DUC Technologies team and technology stack
to make an informed decision about collaboration.
Step 1
Step 2
Step 3
Development of IT systems for image and video analysis and processing
Requirements gathering and data preparation
Model development
Development of the harness
about the service
Step 4
Implementation
Step 5
Support and advancement
Requirements gathering and data preparation
01/05
1. Collection of requirements for image or video analysis, system interfaces
2. Definition of system quality metrics
3. Design of system architecture
4. Preparing and labeling data for model training
Model development
02/05
1. Selecting a basic framework for implementing the model
2. Development of a recognition model, fine-tuning of the model
3. Training the model on prepared data
Development of the harness
03/05
1. Development of the system interface
2. Developing a backend for embedding the model
into the customer's framework
Implementation
04/05
1. Integration of the model into the customer’s internal systems
2. Testing on different data sets
3. Setting up model monitoring
4. Setting up a pipeline for delivering model changes
Support and advancement
05/05
Update new versions
Training of on-site employees on how to use the model
Technical support, troubleshooting and problem solving
Technology stack
AI technologies
Machine learning
and statistical analysis
Scikit-learn
Statsmodels
CatBoost/XGBoost/LightGBM
Keras/TensorFlow
Pytorch
Clustering
and grouping algorithms
KMeans
AgglomerativeClustering
SpectralClustering
AffinityPropagation
DBSCAN
Processing and analysis of text data
NLTK
Gensim
BERTopic
SpaCy
Сomputer vision
OpenCV
Keras/TensorFlow
Pytorch
Ultralytics
Interactive environments
and data visualization
Jupyter Notebook
Matplotlib
Seaborn
Langchain/Llamaindex
Flowise
LLM*
Development
and deployment
FastAPI
Docker
Plotly
Streamlit
Gradio
Large Language Models (LLM)
GigaChat
ChatGPT
YandexGPT
proprietary:
LLaMA
Gemma
open:
Mixtral
Saiga
Rates for the development of computer vision and image analysis systems
cost
depending on the complexity of the project
Cost
Development timeframes
from
30
working days
The cost of the contract is determined individually, depending on the specific business task.
Outstaffing
Strengthening the project's IT team in 3-5 days with experienced specialists from DUC Technologies with industry expertise
Outsourcing
Full cycle of IT solution development by the DUC Technologies team
Models of cooperation
Free replacement of a specialist
If your current specialist does not meet your requirements, you can request a replacement at no additional cost.
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Development of software
and Big Data solutions
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