Image Analysis Software
Picture analysis (IA) is the process of identifying attributes inside an image using digital image processing techniques in order to improve the accuracy and efficiency of the IA process.
Livyoung Realtech has been developing IA tools to help both product firms and non-IT businesses obtain a competitive advantage.
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Image Analysis Core Task
Detect
Separate areas of interest for future investigation, particular objects from the background, and so on.
Recognize
Objects in digital photographs should be labeled or classified according to one or more object classes, such as people, automobiles, electronic components, and so on.
Identify
Recognize an object’s individual characteristics and categories it more precisely: identify specific persons, vehicles, animal kinds, equipment models, and so on
Why Partner with Livyoung Realtech for Your Image Analysis Project?
Experience in C++ development.
Image analysis consulting and development services.
Data science and AI services.
Established Lean, Agile, and DevOps processes.
Presence of highly skilled employees on board
ISO 9001 and ISO 27001-certified to assure the quality of the image analysis services and the security of the customers' data.
Our Domain:
HEALTHCARE
RETAIL
TELECOMS
PROFESSIONAL SERVICES
BANKING
MANUFACTURING
INSURANCE
MARKETING AND ADVERTISING
EDUCATION
Image Analysis Solutions We Offer
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.
3D reconstruction
Producing 3D models from 2D data (e.g., medical scans).
Counting
Using an optical system to count similar objects on the production line or in a warehouse.
Damage assessment
Identifying damage issues in complex electronic devices, vehicles, etc.
Organizing visual information
Indexing visual databases.
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.
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.
Our Domain:
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.
Image Analysis Software Consulting and Development Workflow
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
Third-party computer vision software API integration and customization.
Developing proprietary ML-driven technology from scratch.
Leveraging cloud services.
4. Assessment and selection of implementation options
Third-party computer vision software API integration and customization.
Developing proprietary ML-driven technology from scratch.
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. Quality assurance
Manual and automated testing.
9. IA software maintenance and support
Pricing Models for Image Analysis Services
Time & Material
Good for agile iterative development.
Applied to consulting services.
Fixed price
Good for projects with a well-defined and stable scope.
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