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
- 33 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.
- Listed among The Americas’ Fastest-Growing Companies 2022 by 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
10 years
Projects
50+
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.
Libraries and frameworks
Platforms
14 years
Projects
200+
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
NoSQL
Cloud databases, warehouses and storage
AWS
Azure
Google Cloud Platform
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 33 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.
