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.
Image Analysis Core Tasks
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.
Our Domain Experience
Britapp leverages expertise in 23+ industries to build your digital image analysis project:
16 years in healthcare
18 years in retail
16 years in telecoms
13 years in professional services
16 years in banking
32 in manufacturing
9 years in insurance
14 years in marketing and advertising
6 years in 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.
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,
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.
Britapp’s Approaches to Build Image Analysis Software
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.