In this article we demonstrate and evaluate a method to perform real-time object detection running on an NVIDIA Jetson TX2.
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Data Analytics
Analyze all the information and data you may need, while simultaneously optimizing and improving your relationships within the organization
Expertise
DATA ANALYSIS
- Scalable technical architecture
- Data exploration
- Sophisticated techniques to make predictions
- Custom machine learning algorithms
- Neural networks
- AI automation of tasks that require human cognitive effort
DATA ENGINEERING
- Data capture and cleaning
- Data modeling to meet analytical requirements
- Development and administration of ETL
- Maintain of large-scale data processing systems
- Custom machine learning algorithms
- Unstructured data processing
DATA VISUALIZATION
- Specific methods and techniques
- Data monitoring
- Creation of presentations to stakeholders
- Reports and dashboards building
- IdentiIdentifying the areas that require attention or improvementfy areas that need attention or improvement
DATA INTEGRATION
- Consolidation (ETL technology)
- Propagation
- Virtualization
- Federation
- Warehousing
Use Cases
Orthomosaic map
Image preprocessing
Orchards decomposition
Multispectral data
Growth analysis
Proprietary models for decision-making support
Machine learning documents analysis
Creating synonym tables and available values
Elasticsearch custom aggregation and search filter scripts
Creating and configuring the ElasticSearch index
Creating a handler for converting client application search requests
Creating a REST API handler for search using the Django REST framework
Used the CRISP-DM methodology
Completed the investigation phase, where the R&D team defined the data sources that are potentially valuable for model building
Defining the best price based on end-user information and a history of dealing with Google
Developed an ML model that simulates Google’s algorithm with high accuracy
Researched results with information about the factors influencing the price
Visualization via MatPlotLib and Seaborn
Processed large amounts of data from the sensors
Processing of new data every 10 seconds
Development of big data storage that collects all data from road sensors
The SLA terms were interpreted with numbers
Implementation of hierarchical data representation
Representation of details about selected week or day
EXPERIENCED IN
DATA
SCIENCE
Increases the efficiency of business campaigns and business decisions
ARTIFICIAL
INTELLIGENCE
Automates of tasks that require human cognitive effort and provides clear business predictions
SCALABLE
ARCHITECTURE
Secures increasing data workloads, while optimizing processing costs
MACHINE
LEARNING
Helps to find insights in your data, is useful for customers segmentation and targeting
Technologies
We apply the latest tools and technologies for data analytics development
- Data Mining
- Storage DB
- Frameworks
- Databases
- Pipelines
Azure ML
