Image Analysis Software
Image analysis (IA) is the identification of attributes within an image via digital image processing techniques to make the IA process more accurate and cost-effective.
Since 2013, ScienceSoft helps both product companies and non-IT enterprises gain a competitive advantage by developing IA software.
Detect
Distinguish regions of interest for further analysis, individual objects from the background, etc.
Recognize
Label or classify objects in digital images based on one or several object classes: people, vehicles, electronic components, etc.
Identify
Recognize individual features of an object and classify it with more precision: identify individual people, specific vehicles, animal species, device models, etc.
Why Partner with ScienceSoft for Your Image Analysis Project
- 34 years in C++ development.
- Image analysis consulting and development services since 2013.
- Data science and AI services since 1989.
- Established Lean, Agile, and DevOps processes.
- 700+ highly skilled employees on board.
- For the second straight year, ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies by the Financial Times.
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ISO 9001 and ISO 27001-certified to assure the quality of the image analysis services and the security of the customers' data.
Our Domain Experience
ScienceSoft leverages expertise in 30+ industries to build your digital image analysis project:
Facial recognition
Identification of a specific person’s face to provide exclusive services, identify suspects and trespassers, etc.
Emotion recognition
Assessing the level of a customer’s satisfaction to solve unique business challenges.
Grading and sorting
Object quality analysis for streamlined classifying and sorting.
Quality control (QC)
Checking for surface defects, foreign materials, discoloration, absence of components, etc.
Counting
Using an optical system to count similar objects on the production line or in a warehouse.
Computer-aided diagnosis
Reading X-ray images, CT, PET and MRI scans, ultrasound scans (including 3D and 4D), isotope scans, etc. Enhancing clinical images, measuring organ dimensions and blood flow, detecting pathological signs and suggesting a diagnosis.
Damage assessment
Identifying damage issues in complex electronic devices, vehicles, etc.
3D reconstruction
Producing 3D models from 2D data (e.g., medical scans).
Optical character recognition
Reading texts and number sequences (printed and handwritten).
Event detection
Identifying behavior anomalies and alarms in surveillance videos, counting people traversing a passage.
Organizing visual information
Indexing visual databases.
Rule-based approach
For a small amount of visual data of low variability
- Excellent performance within a narrow domain.
- Doesn’t require big datasets.
- Performance can be easily validated.
- Explicability (every decision step is clearly seen in the code).
- Easy debugging.
Machine learning approach
For large datasets of unstructured data
- Deals better with complex objects and tasks.
- Doesn’t require explicit knowledge.
- Easier scalability.
- Lower operational costs.
Technologies We Apply
Programming languages
Practice
34 years
Workforce
40
ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
We use Objective-C to implement native macOS features in desktop apps.
Libraries and frameworks
Platforms
Practice
14 years
Projects
200+
Workforce
50+
There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.
Databases / data storages
SQL
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.
ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.
NoSQL
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led to 100x faster data processing.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
With ScienceSoft’s managed IT support for Apache NiFi, an American biotechnology corporation got 10x faster big data processing, and its software stability increased from 50% to 99%.
ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.
Cloud databases, warehouses and storage
AWS
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Azure
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
Google Cloud Platform
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Clouds
Cloud services
1
Image analysis solution design
Defining how certain business problems should be solved with IA technology. Converting high-level business needs to software features, eliciting the requirements to image quality and recognition accuracy.
2
Business case creation
Outlining IA solution alternatives, providing business case calculations – ROI and TCO.
3
Software architecture (re)design
Developing the architecture while considering all the nuances that might affect image analysis system’s performance; enhancement and optimization of the existing IA software architecture.
4
Assessment and selection of implementation options
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Third-party computer vision software API integration and customization.
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Developing proprietary ML-driven technology from scratch.
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Leveraging cloud services.
5
IA implementation planning
6
PoC and prototyping
(if required)
7
IA software development and integration
With hardware and third-party apps, IoT devices (sensors, cameras, controllers, etc.).
8
Manual and automated testing.
9
IA software maintenance and support
Time & Material
- Good for agile iterative development.
- Applied to consulting services.
Fixed price
- Good for projects with a well-defined and stable scope.
ScienceSoft’s Dedicated Portfolio
Development of Image Analysis Software for Automated Optical Inspections
ScienceSoft created industrial image analysis software for automated optical inspection of printed circuit assemblies (PCA). The application allows enhancing the PCA manufacturing workflow, saving time meeting the highest quality standards.
Development of an Automated Visual Inspection Application for LED Display Quality Diagnostics
ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification.
Development of Automated Visual Inspection Software for Defect Recognition in Polyurethane Film
ScienceSoft empowered a leading petrochemical company with image recognition software for improving quality control at their PU film manufacturing division by detecting film defects in real time.
Development of a Facial Recognition Application for Retail
ScienceSoft delivered a strategic solution to help retailers track customers by scanning and identifying faces to analyze consumer data and detect potential shoplifters.
Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer
ScienceSoft empowered a manufacturer of oil drilling equipment with the defect-recognition application for detecting drill bit defects and performing drill bit wear analysis.
Development of Facial Recognition Software for Employee Monitoring
ScienceSoft developed a custom application based on image analysis algorithms to track employee time and attendance.
Design on an Image Analysis Application for Remote Monitoring of Oil Storage Tanks
ScienceSoft designed an image analysis application to help optimize inventory management and detect oil leakage by remotely monitoring oil storage tanks in real time.
Development of a Computer Vision Solution for Retail
ScienceSoft’s team created a custom image analysis solution for the retail industry to analyze customer behavior, optimize merchandising activities and estimate sales productivity.
Development of an Image Analysis Application for Brain Tumor Localization
ScienceSoft created a CNN-based application to automatically analyze brain MRI scans, localize tumors and define each tissue type.
Develop innovative image analysis software
Entrust your IA software project to a reliable provider with 34 years of experience in custom software development.
Upgrade software with image analysis technology
We assess your software and enforce it with the latest digital image processing technologies to address your pressing IA needs.