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, Vertscend helps both product companies and non-IT enterprises gain a competitive advantage by developing IA software.
At Vertscend , we base our knowledge on the first-hand experience in IoT implementation.
Distinguish regions of interest for further analysis, individual objects from the background, etc.
Label or classify objects in digital images based on one or several object classes: people, vehicles, electronic components, etc.
Recognize individual features of an object and classify it with more precision: identify individual people, specific vehicles, animal species, device models, etc.
ISO 9001 and ISO 27001-certified to assure the quality of the image analysis services and the security of the customers’ data.
Vertscend leverages expertise in 23+ industries to build your digital image analysis project:
Identification of a specific person’s face to provide exclusive services, identify suspects and trespassers, etc.
Assessing the level of a customer’s satisfaction to solve unique business challenges.
Object quality analysis for streamlined classifying and sorting.
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.
Identifying damage issues in complex electronic devices, vehicles, etc.
Producing 3D models from 2D data (e.g., medical scans).
Reading texts and number sequences (printed and handwritten).
Identifying behavior anomalies and alarms in surveillance videos, counting people traversing a passage.
Indexing visual databases.
For a small amount of visual data of low variability
For large datasets of unstructured data
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.
Outlining IA solution alternatives, providing business case calculations – ROI and TCO.
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.
Third-party computer vision software API integration and customization.
Developing proprietary ML-driven technology from scratch.
Leveraging cloud services.
With hardware and third-party apps, IoT devices (sensors, cameras, controllers, etc.).
Manual and automated testing.
Entrust your IA software project to a reliable provider with 31 years of experience in custom software development.
We assess your software and enforce it with the latest digital image processing technologies to address your pressing IA needs.